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 classiication 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 relect on how intelligent assistants could in-luence and help people in a work environment to complete their tasks, and synthesize our indings to provide insight on the future of intelligent assistants in support of amplifying personal productivity.
CITATION STYLE
Trippas, J. R., Spina, D., Scholer, F., Awadallah, A. H., Bailey, P., Bennett, P. N., … Sanderson, M. (2019). Learning about work tasks to inform intelligent assistant design. In CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval (pp. 5–14). Association for Computing Machinery, Inc. https://doi.org/10.1145/3295750.3298934
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