�ݺ�ߣshows by User: mikek

�ݺ�ߣshows by User: mikek / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: mikek / Sat, 15 Jun 2024 18:06:40 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: mikek Applied Distributed Cognition using foundation models and biosensing /slideshow/applied-distributed-cognition-using-foundation-models-and-biosensing/269702348 ucdavisdcog5-30-24-240615180640-0df6d326
In this talk I lay out a multidisciplinary research agenda that unifies two main lines of basic research—biosensing/neurosensing and foundation model-based AI—as core building blocks for developing applied distributed cognition. We can now take the frameworks cognitive science has used to explain how humans think with our environments and invert them to design environments that think with us, that can anticipate our future cognitive states and compensate for our cognitive limitations (and, of course, be applied for darker purposes). I will highlight several projects that explore practical aspects of this opportunity, from robotics to decision-making, and describe how it can be seen as a continuation of the original cybernetic vision of the 1940s that undergirds so much of today’s technological research progress.]]>
In this talk I lay out a multidisciplinary research agenda that unifies two main lines of basic research—biosensing/neurosensing and foundation model-based AI—as core building blocks for developing applied distributed cognition. We can now take the frameworks cognitive science has used to explain how humans think with our environments and invert them to design environments that think with us, that can anticipate our future cognitive states and compensate for our cognitive limitations (and, of course, be applied for darker purposes). I will highlight several projects that explore practical aspects of this opportunity, from robotics to decision-making, and describe how it can be seen as a continuation of the original cybernetic vision of the 1940s that undergirds so much of today’s technological research progress.]]> Sat, 15 Jun 2024 18:06:40 GMT /slideshow/applied-distributed-cognition-using-foundation-models-and-biosensing/269702348 mikek@slideshare.net(mikek) Applied Distributed Cognition using foundation models and biosensing mikek In this talk I lay out a multidisciplinary research agenda that unifies two main lines of basic research—biosensing/neurosensing and foundation model-based AI—as core building blocks for developing applied distributed cognition. We can now take the frameworks cognitive science has used to explain how humans think with our environments and invert them to design environments that think with us, that can anticipate our future cognitive states and compensate for our cognitive limitations (and, of course, be applied for darker purposes). I will highlight several projects that explore practical aspects of this opportunity, from robotics to decision-making, and describe how it can be seen as a continuation of the original cybernetic vision of the 1940s that undergirds so much of today’s technological research progress. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ucdavisdcog5-30-24-240615180640-0df6d326-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this talk I lay out a multidisciplinary research agenda that unifies two main lines of basic research—biosensing/neurosensing and foundation model-based AI—as core building blocks for developing applied distributed cognition. We can now take the frameworks cognitive science has used to explain how humans think with our environments and invert them to design environments that think with us, that can anticipate our future cognitive states and compensate for our cognitive limitations (and, of course, be applied for darker purposes). I will highlight several projects that explore practical aspects of this opportunity, from robotics to decision-making, and describe how it can be seen as a continuation of the original cybernetic vision of the 1940s that undergirds so much of today’s technological research progress.

Applied Distributed Cognition using foundation models and biosensing from Mike Kuniavsky

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0 Design in Research: How do you use design to support and shape R&D? October 10 PARC Forum Presentation /slideshow/design-in-research-how-do-you-use-design-to-support-and-shape-rd-october-10-parc-forum-presentation-154572646/154572646 isgfall2018parcforum1-190709231854
[This is an updated version of an earlier presentation with some of the images, but none of the content, removed] Corporate Research and Development is evolving, and it increasingly incorporates user experience design, design research, and service design into the earliest stages. The historical separation between basic research, applied research and productization erodes as research horizons shorten, technology diffuses more rapidly, and companies want to take bigger risks sooner. When this changing market is coupled with rapidly changing technology that blurs the boundaries between hardware, software, materials and processes, the role of design fundamentally changes. Design influences technology research earlier in the creation of a novel technology, whether it’s a new application of artificial intelligence, or a new material. In this PARC Forum, Mike Kuniavsky and other members of PARC’s Innovation Services Group will present how they participate in early-stage research and development, and discuss the methods they developed when working alongside PARC’s researchers in developing printed sensors, AI-enabled IoT services, and deep learning computer vision products. We will show how we systematically explore the impact of technologies before they exist and how we try to look beyond hype and our own excitement to see how a new technology can actually solve business and human problems. ]]>
[This is an updated version of an earlier presentation with some of the images, but none of the content, removed] Corporate Research and Development is evolving, and it increasingly incorporates user experience design, design research, and service design into the earliest stages. The historical separation between basic research, applied research and productization erodes as research horizons shorten, technology diffuses more rapidly, and companies want to take bigger risks sooner. When this changing market is coupled with rapidly changing technology that blurs the boundaries between hardware, software, materials and processes, the role of design fundamentally changes. Design influences technology research earlier in the creation of a novel technology, whether it’s a new application of artificial intelligence, or a new material. In this PARC Forum, Mike Kuniavsky and other members of PARC’s Innovation Services Group will present how they participate in early-stage research and development, and discuss the methods they developed when working alongside PARC’s researchers in developing printed sensors, AI-enabled IoT services, and deep learning computer vision products. We will show how we systematically explore the impact of technologies before they exist and how we try to look beyond hype and our own excitement to see how a new technology can actually solve business and human problems. ]]> Tue, 09 Jul 2019 23:18:54 GMT /slideshow/design-in-research-how-do-you-use-design-to-support-and-shape-rd-october-10-parc-forum-presentation-154572646/154572646 mikek@slideshare.net(mikek) Design in Research: How do you use design to support and shape R&D? October 10 PARC Forum Presentation mikek [This is an updated version of an earlier presentation with some of the images, but none of the content, removed] Corporate Research and Development is evolving, and it increasingly incorporates user experience design, design research, and service design into the earliest stages. The historical separation between basic research, applied research and productization erodes as research horizons shorten, technology diffuses more rapidly, and companies want to take bigger risks sooner. When this changing market is coupled with rapidly changing technology that blurs the boundaries between hardware, software, materials and processes, the role of design fundamentally changes. Design influences technology research earlier in the creation of a novel technology, whether it’s a new application of artificial intelligence, or a new material. In this PARC Forum, Mike Kuniavsky and other members of PARC’s Innovation Services Group will present how they participate in early-stage research and development, and discuss the methods they developed when working alongside PARC’s researchers in developing printed sensors, AI-enabled IoT services, and deep learning computer vision products. We will show how we systematically explore the impact of technologies before they exist and how we try to look beyond hype and our own excitement to see how a new technology can actually solve business and human problems. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/isgfall2018parcforum1-190709231854-thumbnail.jpg?width=120&height=120&fit=bounds" /> [This is an updated version of an earlier presentation with some of the images, but none of the content, removed] Corporate Research and Development is evolving, and it increasingly incorporates user experience design, design research, and service design into the earliest stages. The historical separation between basic research, applied research and productization erodes as research horizons shorten, technology diffuses more rapidly, and companies want to take bigger risks sooner. When this changing market is coupled with rapidly changing technology that blurs the boundaries between hardware, software, materials and processes, the role of design fundamentally changes. Design influences technology research earlier in the creation of a novel technology, whether it’s a new application of artificial intelligence, or a new material. In this PARC Forum, Mike Kuniavsky and other members of PARC’s Innovation Services Group will present how they participate in early-stage research and development, and discuss the methods they developed when working alongside PARC’s researchers in developing printed sensors, AI-enabled IoT services, and deep learning computer vision products. We will show how we systematically explore the impact of technologies before they exist and how we try to look beyond hype and our own excitement to see how a new technology can actually solve business and human problems.

Design in Research: How do you use design to support and shape R&D? October 10 PARC Forum Presentation from Mike Kuniavsky

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0 Our Future in Algorithm Farming (Long Now Interval 5/17/16) /slideshow/our-future-in-algorithm-farming-long-now-interval-51716-151624985/151624985 313069556-our-future-in-algorithm-farming-long-now-interval-5-17-16-190624232852
The software running much of our world today, from consumer apps to industrial infrastructures, is increasingly built on systems that learn and try to predict the future, our future. They’re increasingly sophisticated and profoundly different than technologies we’ve ever lived with before, and they're not particularly good in their predictions. This talk is about what we—the intended beneficiaries of these products and services—will do, and how our lives will change, as the algorithms that are supposed to understand us are on what is likely a slow learning curve.]]>
The software running much of our world today, from consumer apps to industrial infrastructures, is increasingly built on systems that learn and try to predict the future, our future. They’re increasingly sophisticated and profoundly different than technologies we’ve ever lived with before, and they're not particularly good in their predictions. This talk is about what we—the intended beneficiaries of these products and services—will do, and how our lives will change, as the algorithms that are supposed to understand us are on what is likely a slow learning curve.]]> Mon, 24 Jun 2019 23:28:52 GMT /slideshow/our-future-in-algorithm-farming-long-now-interval-51716-151624985/151624985 mikek@slideshare.net(mikek) Our Future in Algorithm Farming (Long Now Interval 5/17/16) mikek The software running much of our world today, from consumer apps to industrial infrastructures, is increasingly built on systems that learn and try to predict the future, our future. They’re increasingly sophisticated and profoundly different than technologies we’ve ever lived with before, and they're not particularly good in their predictions. This talk is about what we—the intended beneficiaries of these products and services—will do, and how our lives will change, as the algorithms that are supposed to understand us are on what is likely a slow learning curve. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/313069556-our-future-in-algorithm-farming-long-now-interval-5-17-16-190624232852-thumbnail.jpg?width=120&height=120&fit=bounds" /> The software running much of our world today, from consumer apps to industrial infrastructures, is increasingly built on systems that learn and try to predict the future, our future. They’re increasingly sophisticated and profoundly different than technologies we’ve ever lived with before, and they're not particularly good in their predictions. This talk is about what we—the intended beneficiaries of these products and services—will do, and how our lives will change, as the algorithms that are supposed to understand us are on what is likely a slow learning curve.

Our Future in Algorithm Farming (Long Now Interval 5/17/16) from Mike Kuniavsky

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0 Experience Probes for Exploring the Impact of Novel Products /slideshow/experience-probes-for-exploring-the-impact-of-novel-products/151624756 341526730-experience-probes-for-novel-products-190624232618
This presentation includes an overview of PARC, of Innovation Services at PARC and our use of social science, and a description of a process we use, experience probes, to reduce the risk of adopting novel technologies while still making breakthrough innovations.]]>
This presentation includes an overview of PARC, of Innovation Services at PARC and our use of social science, and a description of a process we use, experience probes, to reduce the risk of adopting novel technologies while still making breakthrough innovations.]]> Mon, 24 Jun 2019 23:26:17 GMT /slideshow/experience-probes-for-exploring-the-impact-of-novel-products/151624756 mikek@slideshare.net(mikek) Experience Probes for Exploring the Impact of Novel Products mikek This presentation includes an overview of PARC, of Innovation Services at PARC and our use of social science, and a description of a process we use, experience probes, to reduce the risk of adopting novel technologies while still making breakthrough innovations. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/341526730-experience-probes-for-novel-products-190624232618-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation includes an overview of PARC, of Innovation Services at PARC and our use of social science, and a description of a process we use, experience probes, to reduce the risk of adopting novel technologies while still making breakthrough innovations.

Experience Probes for Exploring the Impact of Novel Products from Mike Kuniavsky

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0 The UX of Predictive AI in the IoT (Rosenfeld To Be Designed) /slideshow/the-ux-of-predictive-ai-in-the-iot-rosenfeld-to-be-designed/151624541 348066350-the-ux-of-predictive-ai-in-the-iot-rosenfeld-to-be-designed-2017-190624232342
This talk explores the potential, and the challenge of designing predictive artificial intelligence-enabled, user experiences for the Internet of Things. The Internet of Things promises that by analyzing data from many IoT devices our experience of the world becomes better and more efficient. The environment predicts our behavior, anticipates problems, and intercepts them before they occur. However, we don’t have good examples for designing user experiences of predictive AI. This talk gives examples of several different systems, lists UX challenges to creating behavioral systems, and potential approaches to addressing those challenges.]]>
This talk explores the potential, and the challenge of designing predictive artificial intelligence-enabled, user experiences for the Internet of Things. The Internet of Things promises that by analyzing data from many IoT devices our experience of the world becomes better and more efficient. The environment predicts our behavior, anticipates problems, and intercepts them before they occur. However, we don’t have good examples for designing user experiences of predictive AI. This talk gives examples of several different systems, lists UX challenges to creating behavioral systems, and potential approaches to addressing those challenges.]]> Mon, 24 Jun 2019 23:23:42 GMT /slideshow/the-ux-of-predictive-ai-in-the-iot-rosenfeld-to-be-designed/151624541 mikek@slideshare.net(mikek) The UX of Predictive AI in the IoT (Rosenfeld To Be Designed) mikek This talk explores the potential, and the challenge of designing predictive artificial intelligence-enabled, user experiences for the Internet of Things. The Internet of Things promises that by analyzing data from many IoT devices our experience of the world becomes better and more efficient. The environment predicts our behavior, anticipates problems, and intercepts them before they occur. However, we don’t have good examples for designing user experiences of predictive AI. This talk gives examples of several different systems, lists UX challenges to creating behavioral systems, and potential approaches to addressing those challenges. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/348066350-the-ux-of-predictive-ai-in-the-iot-rosenfeld-to-be-designed-2017-190624232342-thumbnail.jpg?width=120&height=120&fit=bounds" /> This talk explores the potential, and the challenge of designing predictive artificial intelligence-enabled, user experiences for the Internet of Things. The Internet of Things promises that by analyzing data from many IoT devices our experience of the world becomes better and more efficient. The environment predicts our behavior, anticipates problems, and intercepts them before they occur. However, we don’t have good examples for designing user experiences of predictive AI. This talk gives examples of several different systems, lists UX challenges to creating behavioral systems, and potential approaches to addressing those challenges.

The UX of Predictive AI in the IoT (Rosenfeld To Be Designed) from Mike Kuniavsky

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0 Hardware without Hardware, minimal explorations of novel product ideas (O'Reilly Solid 2015) /mikek/hardware-without-hardware-minimal-explorations-of-novel-product-ideas-oreilly-solid-2015 solid20150-161005155416
One of the biggest challenges in designing novel connected hardware is knowing whether the final experience will be successful, and minimizing the investment in developing the wrong product. Building fully-functional hardware to evaluate an idea is a significant investment, and slow. We believe it’s possible to manage risk and still explore big, potentially transformative, ideas for products and services. Our approach looks at novel digital product systems (broadly in the Internet of Things, but not exclusively) with the explicit goal of building the minimum amount of technology as is necessary to answer questions about the value and impact of a new product or service.]]>
One of the biggest challenges in designing novel connected hardware is knowing whether the final experience will be successful, and minimizing the investment in developing the wrong product. Building fully-functional hardware to evaluate an idea is a significant investment, and slow. We believe it’s possible to manage risk and still explore big, potentially transformative, ideas for products and services. Our approach looks at novel digital product systems (broadly in the Internet of Things, but not exclusively) with the explicit goal of building the minimum amount of technology as is necessary to answer questions about the value and impact of a new product or service.]]> Wed, 05 Oct 2016 15:54:16 GMT /mikek/hardware-without-hardware-minimal-explorations-of-novel-product-ideas-oreilly-solid-2015 mikek@slideshare.net(mikek) Hardware without Hardware, minimal explorations of novel product ideas (O'Reilly Solid 2015) mikek One of the biggest challenges in designing novel connected hardware is knowing whether the final experience will be successful, and minimizing the investment in developing the wrong product. Building fully-functional hardware to evaluate an idea is a significant investment, and slow. We believe it’s possible to manage risk and still explore big, potentially transformative, ideas for products and services. Our approach looks at novel digital product systems (broadly in the Internet of Things, but not exclusively) with the explicit goal of building the minimum amount of technology as is necessary to answer questions about the value and impact of a new product or service. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/solid20150-161005155416-thumbnail.jpg?width=120&height=120&fit=bounds" /> One of the biggest challenges in designing novel connected hardware is knowing whether the final experience will be successful, and minimizing the investment in developing the wrong product. Building fully-functional hardware to evaluate an idea is a significant investment, and slow. We believe it’s possible to manage risk and still explore big, potentially transformative, ideas for products and services. Our approach looks at novel digital product systems (broadly in the Internet of Things, but not exclusively) with the explicit goal of building the minimum amount of technology as is necessary to answer questions about the value and impact of a new product or service.

Hardware without Hardware, minimal explorations of novel product ideas (O'Reilly Solid 2015) from Mike Kuniavsky

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0 Our Future in Algorithm Farming (Long Now Interval 5/17/16) /slideshow/our-future-in-algorithm-farming-long-now-interval-51716/66771933 parclongnowpredictive1-161005155157
The software running much of our world today, from consumer apps to industrial infrastructures, is increasingly built on systems that learn and try to predict the future, our future. They’re increasingly sophisticated and profoundly different than technologies we’ve ever lived with before, and they're not particularly good in their predictions. This talk is about what we—the intended beneficiaries of these products and services—will do, and how our lives will change, as the algorithms that are supposed to understand us are on what is likely a slow learning curve.]]>
The software running much of our world today, from consumer apps to industrial infrastructures, is increasingly built on systems that learn and try to predict the future, our future. They’re increasingly sophisticated and profoundly different than technologies we’ve ever lived with before, and they're not particularly good in their predictions. This talk is about what we—the intended beneficiaries of these products and services—will do, and how our lives will change, as the algorithms that are supposed to understand us are on what is likely a slow learning curve.]]> Wed, 05 Oct 2016 15:51:57 GMT /slideshow/our-future-in-algorithm-farming-long-now-interval-51716/66771933 mikek@slideshare.net(mikek) Our Future in Algorithm Farming (Long Now Interval 5/17/16) mikek The software running much of our world today, from consumer apps to industrial infrastructures, is increasingly built on systems that learn and try to predict the future, our future. They’re increasingly sophisticated and profoundly different than technologies we’ve ever lived with before, and they're not particularly good in their predictions. This talk is about what we—the intended beneficiaries of these products and services—will do, and how our lives will change, as the algorithms that are supposed to understand us are on what is likely a slow learning curve. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/parclongnowpredictive1-161005155157-thumbnail.jpg?width=120&height=120&fit=bounds" /> The software running much of our world today, from consumer apps to industrial infrastructures, is increasingly built on systems that learn and try to predict the future, our future. They’re increasingly sophisticated and profoundly different than technologies we’ve ever lived with before, and they're not particularly good in their predictions. This talk is about what we—the intended beneficiaries of these products and services—will do, and how our lives will change, as the algorithms that are supposed to understand us are on what is likely a slow learning curve.

Our Future in Algorithm Farming (Long Now Interval 5/17/16) from Mike Kuniavsky

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0 The UX of Predictive Behavior for the IoT (2016: O'Reilly Designing for the IOT) /slideshow/the-ux-of-predictive-behavior-for-the-iot-2016-oreilly-designing-for-the-iot/66771847 2016oreillyonlineuxpredictiveux0-161005154928
This presentation identifies challenges to the user experience design of smart devices (such as the Nest Thermostat, the Amazon Echo, the Edyn water monitor, etc.) that use machine learning to anticipate the needs of people and environments and adapt in response, and point to some potential design patterns to help address those challenges. The Internet of Things promises that by analyzing data from many sensors over time our experience of the world becomes better and more efficient. Our environment can predict our behavior, anticipate problems and needs, and maximize the chances of a desirable end result. Though this notion of effortless automation is seductive (espresso machines that start just as you’re thinking it’s a good time for coffee; office lights that dim when it’s sunny and power is cheap), we don’t have good examples for designing user experiences of predictive systems. As a result, today it’s much easier to create such systems that are confusing, unpredictable and uncontrollable.]]>
This presentation identifies challenges to the user experience design of smart devices (such as the Nest Thermostat, the Amazon Echo, the Edyn water monitor, etc.) that use machine learning to anticipate the needs of people and environments and adapt in response, and point to some potential design patterns to help address those challenges. The Internet of Things promises that by analyzing data from many sensors over time our experience of the world becomes better and more efficient. Our environment can predict our behavior, anticipate problems and needs, and maximize the chances of a desirable end result. Though this notion of effortless automation is seductive (espresso machines that start just as you’re thinking it’s a good time for coffee; office lights that dim when it’s sunny and power is cheap), we don’t have good examples for designing user experiences of predictive systems. As a result, today it’s much easier to create such systems that are confusing, unpredictable and uncontrollable.]]> Wed, 05 Oct 2016 15:49:28 GMT /slideshow/the-ux-of-predictive-behavior-for-the-iot-2016-oreilly-designing-for-the-iot/66771847 mikek@slideshare.net(mikek) The UX of Predictive Behavior for the IoT (2016: O'Reilly Designing for the IOT) mikek This presentation identifies challenges to the user experience design of smart devices (such as the Nest Thermostat, the Amazon Echo, the Edyn water monitor, etc.) that use machine learning to anticipate the needs of people and environments and adapt in response, and point to some potential design patterns to help address those challenges. The Internet of Things promises that by analyzing data from many sensors over time our experience of the world becomes better and more efficient. Our environment can predict our behavior, anticipate problems and needs, and maximize the chances of a desirable end result. Though this notion of effortless automation is seductive (espresso machines that start just as you’re thinking it’s a good time for coffee; office lights that dim when it’s sunny and power is cheap), we don’t have good examples for designing user experiences of predictive systems. As a result, today it’s much easier to create such systems that are confusing, unpredictable and uncontrollable. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2016oreillyonlineuxpredictiveux0-161005154928-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation identifies challenges to the user experience design of smart devices (such as the Nest Thermostat, the Amazon Echo, the Edyn water monitor, etc.) that use machine learning to anticipate the needs of people and environments and adapt in response, and point to some potential design patterns to help address those challenges. The Internet of Things promises that by analyzing data from many sensors over time our experience of the world becomes better and more efficient. Our environment can predict our behavior, anticipate problems and needs, and maximize the chances of a desirable end result. Though this notion of effortless automation is seductive (espresso machines that start just as you’re thinking it’s a good time for coffee; office lights that dim when it’s sunny and power is cheap), we don’t have good examples for designing user experiences of predictive systems. As a result, today it’s much easier to create such systems that are confusing, unpredictable and uncontrollable.

The UX of Predictive Behavior for the IoT (2016: O'Reilly Designing for the IOT) from Mike Kuniavsky

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0 New product ecosystem_2013_0.1 /slideshow/new-product-ecosystem201301/16124198 newproductecosystem20130-1-130122151558-phpapp02
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]]> Tue, 22 Jan 2013 15:15:58 GMT /slideshow/new-product-ecosystem201301/16124198 mikek@slideshare.net(mikek) New product ecosystem_2013_0.1 mikek <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/newproductecosystem20130-1-130122151558-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

New product ecosystem_2013_0.1 from Mike Kuniavsky

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0 How Web Design will reinvent manufacturing /slideshow/how-web-design-will-reinvent-manufacturing/15012887 uxbrighton2012presentation0-2-121103163937-phpapp02
Picture a world where Amazon.com is a factory. Products are made as needed, based on direct input from users to designers and developers. Consumption directly drives production, and data informs design. If we weren't talking about physical products, this would sound a lot like Web/app interaction design, but the worlds of making atoms and bits are quickly colliding, and the implications are profound. By mapping what we have learned creating analytics-driven digital design to the physical world, we can change how everything is made, for the better.]]>
Picture a world where Amazon.com is a factory. Products are made as needed, based on direct input from users to designers and developers. Consumption directly drives production, and data informs design. If we weren't talking about physical products, this would sound a lot like Web/app interaction design, but the worlds of making atoms and bits are quickly colliding, and the implications are profound. By mapping what we have learned creating analytics-driven digital design to the physical world, we can change how everything is made, for the better.]]> Sat, 03 Nov 2012 16:39:34 GMT /slideshow/how-web-design-will-reinvent-manufacturing/15012887 mikek@slideshare.net(mikek) How Web Design will reinvent manufacturing mikek Picture a world where Amazon.com is a factory. Products are made as needed, based on direct input from users to designers and developers. Consumption directly drives production, and data informs design. If we weren't talking about physical products, this would sound a lot like Web/app interaction design, but the worlds of making atoms and bits are quickly colliding, and the implications are profound. By mapping what we have learned creating analytics-driven digital design to the physical world, we can change how everything is made, for the better. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/uxbrighton2012presentation0-2-121103163937-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Picture a world where Amazon.com is a factory. Products are made as needed, based on direct input from users to designers and developers. Consumption directly drives production, and data informs design. If we weren't talking about physical products, this would sound a lot like Web/app interaction design, but the worlds of making atoms and bits are quickly colliding, and the implications are profound. By mapping what we have learned creating analytics-driven digital design to the physical world, we can change how everything is made, for the better.

How Web Design will reinvent manufacturing from Mike Kuniavsky

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0 Designers and-geeks 2012-presentation_0.2 /slideshow/designers-andgeeks-2012presentation02/14876694 designers-and-geeks2012presentation0-2-121024233420-phpapp02
Video: youtube.com/watch?v=eN05B7dDsFY Picture a world where Amazon.com is a factory. Products are made in small quantities, as needed, based on direct input from users to designers and developers. Consumption directly drives product creation, and data informs design. Consumer products are made locally, with local materials and workers, while at the same time using design and engineering talent from anywhere on earth. It simultaneously looks exactly like our world, but is totally different. It’s almost here, and you know more about it than anyone else.]]>
Video: youtube.com/watch?v=eN05B7dDsFY Picture a world where Amazon.com is a factory. Products are made in small quantities, as needed, based on direct input from users to designers and developers. Consumption directly drives product creation, and data informs design. Consumer products are made locally, with local materials and workers, while at the same time using design and engineering talent from anywhere on earth. It simultaneously looks exactly like our world, but is totally different. It’s almost here, and you know more about it than anyone else.]]> Wed, 24 Oct 2012 23:34:18 GMT /slideshow/designers-andgeeks-2012presentation02/14876694 mikek@slideshare.net(mikek) Designers and-geeks 2012-presentation_0.2 mikek Video: youtube.com/watch?v=eN05B7dDsFY Picture a world where Amazon.com is a factory. Products are made in small quantities, as needed, based on direct input from users to designers and developers. Consumption directly drives product creation, and data informs design. Consumer products are made locally, with local materials and workers, while at the same time using design and engineering talent from anywhere on earth. It simultaneously looks exactly like our world, but is totally different. It’s almost here, and you know more about it than anyone else. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/designers-and-geeks2012presentation0-2-121024233420-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Video: youtube.com/watch?v=eN05B7dDsFY Picture a world where Amazon.com is a factory. Products are made in small quantities, as needed, based on direct input from users to designers and developers. Consumption directly drives product creation, and data informs design. Consumer products are made locally, with local materials and workers, while at the same time using design and engineering talent from anywhere on earth. It simultaneously looks exactly like our world, but is totally different. It’s almost here, and you know more about it than anyone else.

Designers and-geeks 2012-presentation_0.2 from Mike Kuniavsky

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0 The New Product Development Ecosystem /slideshow/the-new-product-development-ecosystem-14009486/14009486 dorkbot2012presentation0-2-120818180856-phpapp01
(SEE SLIDE NOTES FOR COMPLETE TRANSCRIPT) Imagine a world 8 years from now where instead of a warehouse, Amazon is a factory. Products are made in small quantities, as needed, based on direct input from users to designers and developers. In this world design directly drives product creation, and data informs design. Consumer products are made locally, with local materials and workers, while at the same time being able to use design and engineering talent from anywhere on earth. It simultaneously looks exactly like our world, but is totally different.]]>
(SEE SLIDE NOTES FOR COMPLETE TRANSCRIPT) Imagine a world 8 years from now where instead of a warehouse, Amazon is a factory. Products are made in small quantities, as needed, based on direct input from users to designers and developers. In this world design directly drives product creation, and data informs design. Consumer products are made locally, with local materials and workers, while at the same time being able to use design and engineering talent from anywhere on earth. It simultaneously looks exactly like our world, but is totally different.]]> Sat, 18 Aug 2012 18:08:54 GMT /slideshow/the-new-product-development-ecosystem-14009486/14009486 mikek@slideshare.net(mikek) The New Product Development Ecosystem mikek (SEE SLIDE NOTES FOR COMPLETE TRANSCRIPT) Imagine a world 8 years from now where instead of a warehouse, Amazon is a factory. Products are made in small quantities, as needed, based on direct input from users to designers and developers. In this world design directly drives product creation, and data informs design. Consumer products are made locally, with local materials and workers, while at the same time being able to use design and engineering talent from anywhere on earth. It simultaneously looks exactly like our world, but is totally different. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dorkbot2012presentation0-2-120818180856-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> (SEE SLIDE NOTES FOR COMPLETE TRANSCRIPT) Imagine a world 8 years from now where instead of a warehouse, Amazon is a factory. Products are made in small quantities, as needed, based on direct input from users to designers and developers. In this world design directly drives product creation, and data informs design. Consumer products are made locally, with local materials and workers, while at the same time being able to use design and engineering talent from anywhere on earth. It simultaneously looks exactly like our world, but is totally different.

The New Product Development Ecosystem from Mike Kuniavsky

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0 The New Product Development Ecosystem (Sketching in Hardware 2012 presentation) /slideshow/clouds-and-atoms-sketching-in-hardware-2012-presentation/13840965 sketching12presentation0-3-120802122347-phpapp02
(look at slide notes for full talk transcript) Imagine a world 8 years from now where instead of a warehouse, Amazon is a factory, where products are made in small quantities based on direct input from users to designers. In this world design directly drives product creation, and where data informs design. (special thanks to Joel Truher for many of the ideas and Alex Chaffee for the Amazon example)]]>
(look at slide notes for full talk transcript) Imagine a world 8 years from now where instead of a warehouse, Amazon is a factory, where products are made in small quantities based on direct input from users to designers. In this world design directly drives product creation, and where data informs design. (special thanks to Joel Truher for many of the ideas and Alex Chaffee for the Amazon example)]]> Thu, 02 Aug 2012 12:23:45 GMT /slideshow/clouds-and-atoms-sketching-in-hardware-2012-presentation/13840965 mikek@slideshare.net(mikek) The New Product Development Ecosystem (Sketching in Hardware 2012 presentation) mikek (look at slide notes for full talk transcript) Imagine a world 8 years from now where instead of a warehouse, Amazon is a factory, where products are made in small quantities based on direct input from users to designers. In this world design directly drives product creation, and where data informs design. (special thanks to Joel Truher for many of the ideas and Alex Chaffee for the Amazon example) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sketching12presentation0-3-120802122347-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> (look at slide notes for full talk transcript) Imagine a world 8 years from now where instead of a warehouse, Amazon is a factory, where products are made in small quantities based on direct input from users to designers. In this world design directly drives product creation, and where data informs design. (special thanks to Joel Truher for many of the ideas and Alex Chaffee for the Amazon example)

The New Product Development Ecosystem (Sketching in Hardware 2012 presentation) from Mike Kuniavsky

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0 2012 ux lx-workshop_0.3-2 /slideshow/2012-ux-lxworkshop032/13080257 2012ux-lxworkshop0-3-2-120525175710-phpapp02
ow do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, this workshop describes underlying trends, shows the latest developments and asks some broader questions.]]>
ow do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, this workshop describes underlying trends, shows the latest developments and asks some broader questions.]]> Fri, 25 May 2012 17:57:10 GMT /slideshow/2012-ux-lxworkshop032/13080257 mikek@slideshare.net(mikek) 2012 ux lx-workshop_0.3-2 mikek ow do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, this workshop describes underlying trends, shows the latest developments and asks some broader questions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2012ux-lxworkshop0-3-2-120525175710-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> ow do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, this workshop describes underlying trends, shows the latest developments and asks some broader questions.

2012 ux lx-workshop_0.3-2 from Mike Kuniavsky

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0 Designing Smart Things: User Experience Design for Networked Devices (UX-LX Workshop) /slideshow/designing-smart-things-user-experience-design-for-networked-devices-uxlx-workshop/13079588 2012ux-lxworkshop0-3-120525160327-phpapp02
How do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, this workshop describe underlying trends, show the latest developments and ask some broader questions.]]>
How do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, this workshop describe underlying trends, show the latest developments and ask some broader questions.]]> Fri, 25 May 2012 16:03:26 GMT /slideshow/designing-smart-things-user-experience-design-for-networked-devices-uxlx-workshop/13079588 mikek@slideshare.net(mikek) Designing Smart Things: User Experience Design for Networked Devices (UX-LX Workshop) mikek How do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, this workshop describe underlying trends, show the latest developments and ask some broader questions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2012ux-lxworkshop0-3-120525160327-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> How do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, this workshop describe underlying trends, show the latest developments and ask some broader questions.

Designing Smart Things: User Experience Design for Networked Devices (UX-LX Workshop) from Mike Kuniavsky

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0 The Internet of People: Integrating IoT Technologies is Not a Technical Problem (Swedish Internet of Things Day 2012) /slideshow/the-internet-of-people-integrating-iot-technologies-is-not-a-technical-problem-swedish-internet-of-things-day-2012/11500322 swedishiotday0-2-120209103553-phpapp02
(FULL TRANSCRIPT IN SLIDE NOTES) The technologies underlying most current Internet of Things visions are not particularly revolutionary. That of course doesn't mean that the visions are not compelling, just that the challenges in creating these visions have little to do with building new technologies. The challenge is to identify what people want and need, and how -- or if -- automatic identification, distributed processing, and pervasive networking can help address those needs and desires. We need to think about how we’re going to create the Google of Things, the Facebook of Things, the Foursquare of Things, the PayPal of Things, the Farmville of Things. It's not about the infrastructure, it's about the applications, and the applications are about people.]]>
(FULL TRANSCRIPT IN SLIDE NOTES) The technologies underlying most current Internet of Things visions are not particularly revolutionary. That of course doesn't mean that the visions are not compelling, just that the challenges in creating these visions have little to do with building new technologies. The challenge is to identify what people want and need, and how -- or if -- automatic identification, distributed processing, and pervasive networking can help address those needs and desires. We need to think about how we’re going to create the Google of Things, the Facebook of Things, the Foursquare of Things, the PayPal of Things, the Farmville of Things. It's not about the infrastructure, it's about the applications, and the applications are about people.]]> Thu, 09 Feb 2012 10:35:50 GMT /slideshow/the-internet-of-people-integrating-iot-technologies-is-not-a-technical-problem-swedish-internet-of-things-day-2012/11500322 mikek@slideshare.net(mikek) The Internet of People: Integrating IoT Technologies is Not a Technical Problem (Swedish Internet of Things Day 2012) mikek (FULL TRANSCRIPT IN SLIDE NOTES) The technologies underlying most current Internet of Things visions are not particularly revolutionary. That of course doesn't mean that the visions are not compelling, just that the challenges in creating these visions have little to do with building new technologies. The challenge is to identify what people want and need, and how -- or if -- automatic identification, distributed processing, and pervasive networking can help address those needs and desires. We need to think about how we’re going to create the Google of Things, the Facebook of Things, the Foursquare of Things, the PayPal of Things, the Farmville of Things. It's not about the infrastructure, it's about the applications, and the applications are about people. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/swedishiotday0-2-120209103553-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> (FULL TRANSCRIPT IN SLIDE NOTES) The technologies underlying most current Internet of Things visions are not particularly revolutionary. That of course doesn't mean that the visions are not compelling, just that the challenges in creating these visions have little to do with building new technologies. The challenge is to identify what people want and need, and how -- or if -- automatic identification, distributed processing, and pervasive networking can help address those needs and desires. We need to think about how we’re going to create the Google of Things, the Facebook of Things, the Foursquare of Things, the PayPal of Things, the Farmville of Things. It's not about the infrastructure, it's about the applications, and the applications are about people.

The Internet of People: Integrating IoT Technologies is Not a Technical Problem (Swedish Internet of Things Day 2012) from Mike Kuniavsky

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0 Lean hardware startups: elements of a ubiquitous computing innovation ecosystem /mikek/lean-hardware-startups-elements-of-a-ubiquitous-computing-innovation-ecosystem solidstatestartups0-4-120201111658-phpapp02
(Look at slide notes for full transcript) How can digital hardware startups be more like Github and less like General Motors? The pieces that fell together to create the ecosystem of tools and business models that lead to the creation of Eric Ries' Lean Startup model for online products are now falling into place in the hardware sector. We're about to see an explosion of hardware startups based on the same ideas. Technological, social and financial changes are coming together to allow entrepreneurs to rapidly iterate new digital devices focused on customer needs. These core elements create a new way to conceptualize the development of digital hardware products. This talk will examine the components that are creating this change and suggest some directions we can expect things to go, and how we can take advantage of it.]]>
(Look at slide notes for full transcript) How can digital hardware startups be more like Github and less like General Motors? The pieces that fell together to create the ecosystem of tools and business models that lead to the creation of Eric Ries' Lean Startup model for online products are now falling into place in the hardware sector. We're about to see an explosion of hardware startups based on the same ideas. Technological, social and financial changes are coming together to allow entrepreneurs to rapidly iterate new digital devices focused on customer needs. These core elements create a new way to conceptualize the development of digital hardware products. This talk will examine the components that are creating this change and suggest some directions we can expect things to go, and how we can take advantage of it.]]> Wed, 01 Feb 2012 11:16:56 GMT /mikek/lean-hardware-startups-elements-of-a-ubiquitous-computing-innovation-ecosystem mikek@slideshare.net(mikek) Lean hardware startups: elements of a ubiquitous computing innovation ecosystem mikek (Look at slide notes for full transcript) How can digital hardware startups be more like Github and less like General Motors? The pieces that fell together to create the ecosystem of tools and business models that lead to the creation of Eric Ries' Lean Startup model for online products are now falling into place in the hardware sector. We're about to see an explosion of hardware startups based on the same ideas. Technological, social and financial changes are coming together to allow entrepreneurs to rapidly iterate new digital devices focused on customer needs. These core elements create a new way to conceptualize the development of digital hardware products. This talk will examine the components that are creating this change and suggest some directions we can expect things to go, and how we can take advantage of it. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/solidstatestartups0-4-120201111658-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> (Look at slide notes for full transcript) How can digital hardware startups be more like Github and less like General Motors? The pieces that fell together to create the ecosystem of tools and business models that lead to the creation of Eric Ries' Lean Startup model for online products are now falling into place in the hardware sector. We're about to see an explosion of hardware startups based on the same ideas. Technological, social and financial changes are coming together to allow entrepreneurs to rapidly iterate new digital devices focused on customer needs. These core elements create a new way to conceptualize the development of digital hardware products. This talk will examine the components that are creating this change and suggest some directions we can expect things to go, and how we can take advantage of it.

Lean hardware startups: elements of a ubiquitous computing innovation ecosystem from Mike Kuniavsky

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0 Products are Services, how ubiquitous computing changes design /slideshow/products-are-services-how-ubiquitous-computing-changes-design/10490318 interactionsa20110-4-111206191505-phpapp02
As more products, from tablets to bathroom scales to washing machines go online, our relationship to them changes. We start to think of them as representatives of online services, and to think of services as represented by products. Ubiquitous computing changes our understanding of where the boundaries of a hardware product and a service stop, and fundamentally challenges how we design both. ]]>
As more products, from tablets to bathroom scales to washing machines go online, our relationship to them changes. We start to think of them as representatives of online services, and to think of services as represented by products. Ubiquitous computing changes our understanding of where the boundaries of a hardware product and a service stop, and fundamentally challenges how we design both. ]]> Tue, 06 Dec 2011 19:15:03 GMT /slideshow/products-are-services-how-ubiquitous-computing-changes-design/10490318 mikek@slideshare.net(mikek) Products are Services, how ubiquitous computing changes design mikek As more products, from tablets to bathroom scales to washing machines go online, our relationship to them changes. We start to think of them as representatives of online services, and to think of services as represented by products. Ubiquitous computing changes our understanding of where the boundaries of a hardware product and a service stop, and fundamentally challenges how we design both. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/interactionsa20110-4-111206191505-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> As more products, from tablets to bathroom scales to washing machines go online, our relationship to them changes. We start to think of them as representatives of online services, and to think of services as represented by products. Ubiquitous computing changes our understanding of where the boundaries of a hardware product and a service stop, and fundamentally challenges how we design both.

Products are Services, how ubiquitous computing changes design from Mike Kuniavsky

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0 Unintended Consequences: design [in|for|and] the age of ubiquitous computing /slideshow/unintended-consequences-design-inforand-the-age-of-ubiquitous-computing-web-directions-south-talk-abstract/9772953 webdirections2011presentation0-1-111019103843-phpapp01
Every technology’s most profound social and cultural changes are invisible at the outset. Cheap information processing and networking technology is a brand new phenomenon, culturally speaking, and quickly changing the world in fundamental ways. Designers align the capabilities of a technology with people’s lives, so it is designers who have the power and responsibility to think about what this means.]]>
Every technology’s most profound social and cultural changes are invisible at the outset. Cheap information processing and networking technology is a brand new phenomenon, culturally speaking, and quickly changing the world in fundamental ways. Designers align the capabilities of a technology with people’s lives, so it is designers who have the power and responsibility to think about what this means.]]> Wed, 19 Oct 2011 10:38:40 GMT /slideshow/unintended-consequences-design-inforand-the-age-of-ubiquitous-computing-web-directions-south-talk-abstract/9772953 mikek@slideshare.net(mikek) Unintended Consequences: design [in|for|and] the age of ubiquitous computing mikek Every technology’s most profound social and cultural changes are invisible at the outset. Cheap information processing and networking technology is a brand new phenomenon, culturally speaking, and quickly changing the world in fundamental ways. Designers align the capabilities of a technology with people’s lives, so it is designers who have the power and responsibility to think about what this means. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/webdirections2011presentation0-1-111019103843-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Every technology’s most profound social and cultural changes are invisible at the outset. Cheap information processing and networking technology is a brand new phenomenon, culturally speaking, and quickly changing the world in fundamental ways. Designers align the capabilities of a technology with people’s lives, so it is designers who have the power and responsibility to think about what this means.

Unintended Consequences: design [in|for|and] the age of ubiquitous computing from Mike Kuniavsky

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0 The Internet of Things to Come: elements of a ubiquitous computing innovation ecosystem /slideshow/the-internet-of-things-to-come-elements-of-a-ubiquitous-computing-innovation-ecosystem-9447397/9447397 kuniavskymobilize20111-1-110927141322-phpapp02
The pieces of the innovation ecosystem for the Internet of Things and Ubicomp are in place. They're: Object Oriented Hardware, Cheap Assembly, Anchors in the Cloud, Social Design Collaboration Tools, The Arduino, Low Volume Sales Channels]]>
The pieces of the innovation ecosystem for the Internet of Things and Ubicomp are in place. They're: Object Oriented Hardware, Cheap Assembly, Anchors in the Cloud, Social Design Collaboration Tools, The Arduino, Low Volume Sales Channels]]> Tue, 27 Sep 2011 14:13:19 GMT /slideshow/the-internet-of-things-to-come-elements-of-a-ubiquitous-computing-innovation-ecosystem-9447397/9447397 mikek@slideshare.net(mikek) The Internet of Things to Come: elements of a ubiquitous computing innovation ecosystem mikek The pieces of the innovation ecosystem for the Internet of Things and Ubicomp are in place. They're: Object Oriented Hardware, Cheap Assembly, Anchors in the Cloud, Social Design Collaboration Tools, The Arduino, Low Volume Sales Channels <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kuniavskymobilize20111-1-110927141322-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> The pieces of the innovation ecosystem for the Internet of Things and Ubicomp are in place. They're: Object Oriented Hardware, Cheap Assembly, Anchors in the Cloud, Social Design Collaboration Tools, The Arduino, Low Volume Sales Channels

The Internet of Things to Come: elements of a ubiquitous computing innovation ecosystem from Mike Kuniavsky

]]> 3057 6 https://cdn.slidesharecdn.com/ss_thumbnails/kuniavskymobilize20111-1-110927141322-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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