This document summarizes a study on how intelligent assistants can help with work tasks. The study involved surveying 401 information workers about the tasks they perform. The tasks were analyzed and categorized into 14 groups. The results showed that many tasks take over two hours and involve cyber, physical, and social activities. Workers desired features for effective task management like reminders and scheduling. The researchers conclude the study provides insight into classifying work tasks and how intelligent assistants can help with tasks like recommendation, tracking, and multi-step tasks.
Spermiogenesis or Spermateleosis or metamorphosis of spermatid
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?
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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
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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
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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
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
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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
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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
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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
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