Mental Models of Meeting Goals: Supporting Intentionality in Meeting Technologies

要旨

Ineffective meetings due to unclear goals are major obstacles to productivity, yet support for intentionality is surprisingly scant in our meeting and allied workflow technologies. To design for intentionality, we need to understand workers’ attitudes and practices around goals. We interviewed 21 employees of a global technology company and identified contrasting mental models of meeting goals: meetings as a means to an end, and meetings as an end in themselves. We explore how these mental models impact how meeting goals arise, goal prioritization, obstacles to considering goals, and how lack of alignment around goals may create tension between organizers and attendees. We highlight the challenges in balancing preparation, constraining scope, and clear outcomes, with the need for intentional adaptability and discovery in meetings. Our findings have implications for designing systems which increase effectiveness in meetings by catalyzing intentionality and reducing tension in the organisation of meetings.

著者
Ava Elizabeth. Scott
UCL, London, London, United Kingdom
Lev Tankelevitch
Microsoft Research, Cambridge, United Kingdom
Sean Rintel
Microsoft Research, Cambridge, United Kingdom
論文URL

https://doi.org/10.1145/3613904.3642670

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Working Practices and Tools B

324
5 件の発表
2024-05-15 20:00:00
2024-05-15 21:20:00