Learning About Work Tasks to Inform Intelligent Assistant Design

  • Johanne R. Trippas
  • Damiano Spina
  • Falk Scholer
  • Ahmed Hassan Awadallah
  • Peter Bailey
  • Paul N. Bennett
  • Ryen W. White
  • Jonathan Liono
  • Yongli Ren
  • Flora D. Salim
  • Mark Sanderson
Proceedings of ACM SIGIR Conference of Human Information Interaction and Retrieval (CHIIR'19), 2019

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.

@InProceedings{trippas2019learning,
title= {Learning About Work Tasks to Inform Intelligent Assistant Design},
author={Trippas, Johanne R.  and Spina, Damiano and Scholer, Falk and Hassan Awadallah, Ahmed 
and Bailey, Peter and  Bennett, Paul N. and White, Ryen W.  and Liono, Jonathan and Ren, Yongli 
 and Salim, Flora D.  and Sanderson, Mark},
booktitle={Proceedings of ACM SIGIR Conference of Human Information Interaction and Retrieval 
(CHIIR'19)},
year={2019}
}
Damiano Spina