Learning About Work Tasks to Inform Intelligent Assistant Design

Publication Year: 2019 Publication Type : ConferenceProceeding


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 workrelated 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.


    author = {Johanne R. Trippas and Damiano Spina and Falk Scholer and Ahmed Hassan Awadallah and Peter Bailey and Paul N. Bennett and Ryen W. White and Jonathan Liono and Yongli Ren and Flora D. Salim and Mark Sanderson},
    bibsource = {dblp computer science bibliography, https://dblp.org},
    biburl = {https://dblp.org/rec/conf/chiir/TrippasSSABBWLR19.bib},
    booktitle = {Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, CHIIR 2019, Glasgow, Scotland, UK, March 10-14, 2019},
    doi = {10.1145/3295750.3298934},
    editor = {Leif Azzopardi and Martin Halvey and Ian Ruthven and Hideo Joho and Vanessa Murdock and Pernilla Qvarfordt},
    pages = {5--14},
    publisher = {ACM},
    timestamp = {Wed, 25 Sep 2019 01:00:00 +0200},
    title = {Learning About Work Tasks to Inform Intelligent Assistant Design},
    url = {https://doi.org/10.1145/3295750.3298934},
    year = {2019}


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