TY - JOUR
T1 - Imagining future digital assistants at work
T2 - A study of task management needs
AU - Khaokaew, Yonchanok
AU - Holcombe-James, Indigo
AU - Rahaman, Mohammad Saiedur
AU - Liono, Jonathan
AU - Trippas, Johanne R.
AU - Spina, Damiano
AU - Bailey, Peter
AU - Belkin, Nicholas J.
AU - Bennett, Paul N.
AU - Ren, Yongli
AU - Sanderson, Mark
AU - Scholer, Falk
AU - White, Ryen W.
AU - Salim, Flora D.
N1 - Funding Information:
This research was supported by Microsoft Research through the Microsoft-RMIT Cortana Intelligence Institute, Australia . Any opinions, findings, and conclusions expressed in this article are those of the authors and do not necessarily reflect those of the sponsor.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/12
Y1 - 2022/12
N2 - Digital Assistants (DAs) can support workers in the workplace and beyond. However, target user needs are not fully understood, and the functions that workers would ideally want a DA to support require further study. A richer understanding of worker needs could help inform the design of future DAs. We investigate user needs of future workplace DAs using data from a user study of 40 workers over a four-week period. Our qualitative analysis confirms existing research and generates new insight on the role of DAs in managing people's time, tasks, and information. Placing these insights in relation to quantitative analysis of self-reported task data, we highlight how different occupation roles require DAs to take varied approaches to these domains and the effect of task characteristics on the imagined features. Our findings have implications for the design of future DAs in work settings and we offer some recommendations for reduction to practice.
AB - Digital Assistants (DAs) can support workers in the workplace and beyond. However, target user needs are not fully understood, and the functions that workers would ideally want a DA to support require further study. A richer understanding of worker needs could help inform the design of future DAs. We investigate user needs of future workplace DAs using data from a user study of 40 workers over a four-week period. Our qualitative analysis confirms existing research and generates new insight on the role of DAs in managing people's time, tasks, and information. Placing these insights in relation to quantitative analysis of self-reported task data, we highlight how different occupation roles require DAs to take varied approaches to these domains and the effect of task characteristics on the imagined features. Our findings have implications for the design of future DAs in work settings and we offer some recommendations for reduction to practice.
KW - Digital assistants task support thematic analysis
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U2 - 10.1016/j.ijhcs.2022.102905
DO - 10.1016/j.ijhcs.2022.102905
M3 - Article
AN - SCOPUS:85136575536
SN - 1071-5819
VL - 168
JO - International Journal of Human Computer Studies
JF - International Journal of Human Computer Studies
M1 - 102905
ER -