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Learning About Work
Tasks to Inform Intelligent
Assistant Design
Johanne Trippas, Damiano Spina, Falk Scholer,
Ahmed Hassan Awadallah, Peter Bailey, Paul
Bennett, Ryen White, Jonathan Liono, Yongli
Ren, Flora Salim, Mark Sanderson
Twitter: @JTrippas
http://www.johannetrippas.com
Learning About Work Tasks to Inform
Intelligent Assistant Design
•How to support people in work tasks
or workplaces as context?
–In which work tasks can intelligent
assistants help?
–In which work tasks do workers
want help from intelligent
assistants?
2
The need for understanding work tasks
•Support of intelligent assistants for work tasks
are
–Restricted to low-level tasks and basic tasks
•Understanding how people complete work tasks
provides insight into how to support work tasks
–Create a work-task classification
–Investigate Cyber-Physical-Social properties
–Provide design recommendations
3
How was it done?
•We deployed a Qualtrics survey
–Target “information workers”
•Australia, United Kingdom, and United States
•Were between 25-59 years old
•Were employed or self-employed
•Completed a bachelor’s degree or higher
–401 respondents
–1604 tasks carried out in a work setting
•Analysed these tasks with thematic and
quantitative analysis
4
Six-steps of thematic analysis
1. Familiarisation of data
2. Generating initial codes
3. Searching for themes
4. Reviewing themes
5. Defining and naming themes
6. Produce report
Characterising information workers’ tasks
•14 categories
6
–Communication (196)
–Documentation (151)
–Admin and management (143)
–Planning (126)
–Education (79)
–IT (66)
–Finance (64)
–Physical (49)
–Problem solving (45)
–Low-level (32)
–Project (30)
–Customer care (24)
–Meals and breaks (21)
–Travel (9)
Survey Results
7
Where can an intelligent assistant help?
Task categories vs time spent (%)
8
9
22
13
26 23 27
16
20
38
16
57
8 5
11
18
28
22
25 37 29
25 18
31
25
23
33
10
44
25
34
28
26
30
21
30 29
24
28
20
29
24
4448
16
36
22
10
23
30 33
7
31 29
62
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Communication
Documentation
Admin and management
Planning
Education IT
Finance
Physical
Problem
solving
Low-level
Project
Customer care
Meals and breaks
Travel
>day >2h >30min <30min
Where can an intelligent assistant help?
Electronic devices usage
•Electronic devices used?
–Yes: 71% (744)
•Personal computer: 93%
–No: 29% (291)
9
Where can an intelligent assistant help?
Online activities (%)
10
33
11
34
17
44
20
13
64
9 6
33 33
71
56
45
62
50
44
30
44
66
12
33
75 23
37
9
33
22
27
16
39
26
36
21 24
58
19
44
30
20
11
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Communication
Documentation
Admin and management
Planning
Education IT
Finance
Physical
Problem
solving
Low-level
Project
Customer care
Meals and breaks
Travel
0 1 >2
Where can an intelligent assistant help?
Physical activities (%)
11
12 12 15 18 19
12
5
69
22
9 10
25
62
56
88 88 85 82 81
88
95
31
78
91 90
75
38
44
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Communication
Documentation
Admin and management
Planning
Education IT
Finance
Physical
Problem
solving
Low-level
Project
Customer care
Meals and breaks
Travel
Yes No
Where can an intelligent assistant help?
Social activity (%)
12
47
24 28
48
43
30
19
35
51
19
53
75
48
33
53
76 72
52
57
70
81
65
49
81
47
25
52
67
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Communication
Documentation
Admin and management
Planning
Education IT
Finance
Physical
Problem
solving
Low-level
Project
Customer care
Meals and breaks
Travel
Yes No
Where do workers want intelligent assistant help?
13
Wanted tools
1.Task management features
–Reminders, calendars, or task scheduling
2.Ubiquitous access
–Multiple devices and synchronisation
3. Task tracking
How can intelligent
assistants help
information workers?
14
How can intelligent assistants support
information workers?
•Use Cyber-Physical-Social model to:
–Identify tasks
–Track task progression or completion
•Task recommendation and automatic scheduling
•Task resumption
•Multi-step tasks
–Tasks are part of a larger task or goal
15
Main findings
•Information workers performed a broad range of
tasks
–A substantial number of tasks take more than
two hours
–Cyber: 72%
–Physical: 18%
–Social: 40%
•Information workers desired features for
effective task management
16
Future task progression studies
•This survey affects the way we can
–Classify work-tasks
–Design intelligent assistants
•This research fits in the broader context of
cyber-physical-social of information workers
–Ongoing data collection
17
Q&A
Collaborators: Damiano Spina, Falk Scholer,
Ahmed Hassan Awadallah, Peter Bailey, Paul Bennett,
Ryen White, Jonathan Liono, Yongli Ren, Flora Salim,
Mark Sanderson
Funding: This research was partially supported by
Microsoft Research
@JTrippas
http://www.johannetrippas.com
18

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Learning About Work Tasks

  • 1. — Learning About Work Tasks to Inform Intelligent Assistant Design Johanne Trippas, Damiano Spina, Falk Scholer, Ahmed Hassan Awadallah, Peter Bailey, Paul Bennett, Ryen White, Jonathan Liono, Yongli Ren, Flora Salim, Mark Sanderson Twitter: @JTrippas http://www.johannetrippas.com
  • 2. Learning About Work Tasks to Inform Intelligent Assistant Design •How to support people in work tasks or workplaces as context? –In which work tasks can intelligent assistants help? –In which work tasks do workers want help from intelligent assistants? 2
  • 3. The need for understanding work tasks •Support of intelligent assistants for work tasks are –Restricted to low-level tasks and basic tasks •Understanding how people complete work tasks provides insight into how to support work tasks –Create a work-task classification –Investigate Cyber-Physical-Social properties –Provide design recommendations 3
  • 4. How was it done? •We deployed a Qualtrics survey –Target “information workers” •Australia, United Kingdom, and United States •Were between 25-59 years old •Were employed or self-employed •Completed a bachelor’s degree or higher –401 respondents –1604 tasks carried out in a work setting •Analysed these tasks with thematic and quantitative analysis 4
  • 5. Six-steps of thematic analysis 1. Familiarisation of data 2. Generating initial codes 3. Searching for themes 4. Reviewing themes 5. Defining and naming themes 6. Produce report
  • 6. Characterising information workers’ tasks •14 categories 6 –Communication (196) –Documentation (151) –Admin and management (143) –Planning (126) –Education (79) –IT (66) –Finance (64) –Physical (49) –Problem solving (45) –Low-level (32) –Project (30) –Customer care (24) –Meals and breaks (21) –Travel (9)
  • 8. Where can an intelligent assistant help? Task categories vs time spent (%) 8 9 22 13 26 23 27 16 20 38 16 57 8 5 11 18 28 22 25 37 29 25 18 31 25 23 33 10 44 25 34 28 26 30 21 30 29 24 28 20 29 24 4448 16 36 22 10 23 30 33 7 31 29 62 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Communication Documentation Admin and management Planning Education IT Finance Physical Problem solving Low-level Project Customer care Meals and breaks Travel >day >2h >30min <30min
  • 9. Where can an intelligent assistant help? Electronic devices usage •Electronic devices used? –Yes: 71% (744) •Personal computer: 93% –No: 29% (291) 9
  • 10. Where can an intelligent assistant help? Online activities (%) 10 33 11 34 17 44 20 13 64 9 6 33 33 71 56 45 62 50 44 30 44 66 12 33 75 23 37 9 33 22 27 16 39 26 36 21 24 58 19 44 30 20 11 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Communication Documentation Admin and management Planning Education IT Finance Physical Problem solving Low-level Project Customer care Meals and breaks Travel 0 1 >2
  • 11. Where can an intelligent assistant help? Physical activities (%) 11 12 12 15 18 19 12 5 69 22 9 10 25 62 56 88 88 85 82 81 88 95 31 78 91 90 75 38 44 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Communication Documentation Admin and management Planning Education IT Finance Physical Problem solving Low-level Project Customer care Meals and breaks Travel Yes No
  • 12. Where can an intelligent assistant help? Social activity (%) 12 47 24 28 48 43 30 19 35 51 19 53 75 48 33 53 76 72 52 57 70 81 65 49 81 47 25 52 67 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Communication Documentation Admin and management Planning Education IT Finance Physical Problem solving Low-level Project Customer care Meals and breaks Travel Yes No
  • 13. Where do workers want intelligent assistant help? 13 Wanted tools 1.Task management features –Reminders, calendars, or task scheduling 2.Ubiquitous access –Multiple devices and synchronisation 3. Task tracking
  • 14. How can intelligent assistants help information workers? 14
  • 15. How can intelligent assistants support information workers? •Use Cyber-Physical-Social model to: –Identify tasks –Track task progression or completion •Task recommendation and automatic scheduling •Task resumption •Multi-step tasks –Tasks are part of a larger task or goal 15
  • 16. Main findings •Information workers performed a broad range of tasks –A substantial number of tasks take more than two hours –Cyber: 72% –Physical: 18% –Social: 40% •Information workers desired features for effective task management 16
  • 17. Future task progression studies •This survey affects the way we can –Classify work-tasks –Design intelligent assistants •This research fits in the broader context of cyber-physical-social of information workers –Ongoing data collection 17
  • 18. Q&A Collaborators: Damiano Spina, Falk Scholer, Ahmed Hassan Awadallah, Peter Bailey, Paul Bennett, Ryen White, Jonathan Liono, Yongli Ren, Flora Salim, Mark Sanderson Funding: This research was partially supported by Microsoft Research @JTrippas http://www.johannetrippas.com 18