This document summarizes Jacek Gwizdka's research on the impact of email interfaces and tasks on cognitive abilities. It outlines a field study and two controlled lab studies that examined how pending tasks in emails are handled, the effects of different email interfaces on performance, and the role of cognitive abilities like working memory. The research found that interface design, task type, and individual cognitive abilities all impacted email usage and performance. It provided insights into differences in how people manage emails and tasks, and contributions to understanding cognition's role in human-computer interaction.
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Cognitive Abilities and Email: Impact of Interface and Task - Dissertation presentation 2004.05.06
1. 2004-05-06
Cognitive Abilities and Email:
Impact of Interface and Task
Jacek Gwizdka
Final Oral Examination 2004-05-06
Interactive Media Lab
Knowledge Media Design Institute
University of Toronto
jgwizdka@acm.org
www.gwizdka.com
www.emailresearch.org
3. 2004-05-06Jacek Gwizdka
3
Motivation & Background
Information overload in email
Diversity of information in email diverse task
Email designed for asynchronous conversations
Email not designed for:
file transfer & management;
contact management;
maintenance of social image;
personal information management;
task and to-do management
MB
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Issues Research Opportunities
Handling messages related to pending tasks
problematic
Effects of email interfaces on behaviour little known
Role of cognitive abilities in email tasks unexplored
More evaluation of email interfaces needed
MB
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Research Objectives & Questions
More efficient processing of task-laden inboxes
How are messages related to pending tasks handled
in email?
What are the effects of user interface on email
performance?
How is user performance affected by cognitive
abilities?
RQ
Field Study
Two Controlled Lab Studies
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Field Study Findings
Pending tasks kept in email
User actions compensate for missing functionality
(e.g. email to self to keep important tasks on top of inbox)
Individual differences :
read msg
msg
after task
delay
Transfer out of email
& Delete
Transfer out of email
& Keep in email
Keep Delete
7 users
7+3
users
Keep in email 8 users
1+1
users
4 users
Message arrives
Future info to
PIM applications
FS
n =19 users
do
task
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Controlled User Study #1
User tasks information finding :
Header task (H) & Date task (D)
What are effects of TaskView representation of pending tasks
on user performance?
What are effects of cognitive abilities on user performance?
S1
UI-足Text OutlookUI-足Visual TaskView
How can handling of future messages be made more efficient?
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Selected Cognitive Abilities
WM - working memory:
recall a number of distinct elements for reproduction
VM - visual memory:
remember location & orientation of visual information
FC - flexibility of closure:
extract information from distractive background
S1
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UI * TASK -足> time for 1st & 2nd session
0
10
20
30
40
50
Header Date Task
time sec
UI Text 1st session
UI Visual 1st session
UI Text 2nd session
UI Visual 2nd session
Effect UI * Task on time
Header task faster in UI-Text
Date task faster in UI-Visual
Results: UI*Task
S1
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Results Cognitive Abilities
S1
Visual Memory & Task
2nd session: Effect of Task * MV2 on time
0
10
20
30
40
50
Header Date Task
time sec
MV2 low
MV2 high
2nd session: Effect of Task * MV1 on time
0
10
20
30
40
50
Header Date Task
time sec
MV1 low
MV1 high
`
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Results Cognitive Abilities (contd)
S1
Flexibility of Closure & UI * Task
2nd session: Effect of UI * FC on time for Date task
0
10
20
30
40
50
UI-足Text UI-足Visual UI
time sec
FC low
FC high
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2nd session: Effect of UI * Task on time
00:00
00:10
00:20
00:30
00:40
00:50
Header Date Mixed Task
time sec
UI Text
UI Visual
Results UI*Task
Effect UI * Task on time
for 2nd session
UI-Text = UI-Visual on Header task
UI-Visual faster on Date task
UI-Text faster on Mixed task
S2
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WM: short-term store & attention control
Learning
Interaction
Performance time
Results Roles of Working Memory
Effect of Working Memory on time
00:00
00:10
00:20
00:30
00:40
00:50
WM low WM high
time sec
1st session
2nd session
S2
Effect of Working Memory on sorting
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
WM low WM high
sort/Q
1st session
2nd session
Learning curve for UI-足Visual
00:00
00:10
00:20
00:30
00:40
00:50
01:00
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Question #
time sec
Low WM
High WM
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Results User Clusters
Factors
differing between
clusters
Email Handling Clusters
Cluster #1 The Cleaners
transfer pending tasks out of
email
Cluster #2 The Keepers
keep pending tasks
in email
Flexibility of Closure low high
S2
Two Email Handling Clusters ( Field study)
1) Transfer pending tasks (7 users)
2) Keep pending tasks (16 users)
Differences between clusters:
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Contributions - 1
Effects of cognitive factors on email tasks
Effects at different interaction stages
WM learning & task performance
FC & VM task performance
Different performance & interaction measures affected
WM & FC time, WM & VM sorting, VM scrolling
Opposite direction of effects
WM & VM on sorting
Multiple roles of working memory in interaction
CO
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Contributions - 2
Understanding differences in behaviour
In email handling :
flexibility of closure & email experience
In interaction effort :
cognitive abilities (CS, WM, VM) & email experience
Methodological contributions
Developed email reference task and metrics
Demonstrated the effects of tasks on performance
CO
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Possible Future Work
Narrow down role of cognitive abilities
eye-tracker & working memory
Field studies
UI design
personalized and adaptive UI
FU
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Acknowledgements
l My academic advisor - Professor Mark Chignell
l PhD Committee members: Professors R. Baecker, C.D. Sadleir & E. Toms
l External Examiner: Professor Chris Neuwirth
l KMDI
l TimeStore: Professor Ron Baecker & Peter Wolf
l My colleague - Dr. David Modjeska
l Colleagues from Interactive Media Lab
l Field Study @ Xerox PARC Dr. Michelle Baldonado, Ken Pier, and others
l This research was financially supported, in part, by NSERC, OGS & BUL