Learning About Work Tasks to Inform Intelligent Assistant Design

Trippas, J, Spina, D, Scholer, F, Hassan, A, Bailey, P, Bennett, P, White, R, Liono, J, Ren, Y, Salim, F and Sanderson, M 2019, 'Learning About Work Tasks to Inform Intelligent Assistant Design', in CHIIR '19 Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, Glasgow, Scotland UK, March 10 - 14 2019, pp. 5-14.


Document type: Conference Paper
Collection: Conference Papers

Title Learning About Work Tasks to Inform Intelligent Assistant Design
Author(s) Trippas, J
Spina, D
Scholer, F
Hassan, A
Bailey, P
Bennett, P
White, R
Liono, J
Ren, Y
Salim, F
Sanderson, M
Year 2019
Conference name Conference on Human Information Interaction and Retrieval (CHIIR)
Conference location Glasgow, Scotland UK
Conference dates March 10 - 14 2019
Proceedings title CHIIR '19 Proceedings of the 2019 Conference on Human Information Interaction and Retrieval
Publisher ACM
Place of publication New York, NY, USA
Start page 5
End page 14
Total pages 10
Abstract Intelligent assistants can serve many purposes, including entertainment (e.g. playing music), home automation, and task management (e.g. timers, reminders). The role of these assistants is evolving to also support people engaged in work tasks, in workplaces and beyond. To design truly useful intelligent assistants for work, it is important to better understand the work tasks that people are performing. Based on a survey of 401 respondents' daily tasks and activities in a work setting, we present a classification of work-related tasks, and analyze their key characteristics, including the frequency of their self-reported tasks, the environment in which they undertake the tasks, and which, if any, electronic devices are used. We also investigate the cyber, physical, and social aspects of tasks. Finally, we reflect on how intelligent assistants could influence and help people in a work environment to complete their tasks, and synthesize our findings to provide insight on the future of intelligent assistants in support of amplifying personal productivity.
Subjects Information Retrieval and Web Search
DOI - identifier 10.1145/3295750.3298934
Copyright notice © 2019 Copyright held by the owner/author(s).
ISBN 9781450360258
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 33 Abstract Views  -  Detailed Statistics
Created: Mon, 29 Apr 2019, 13:04:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us