Retrospector: Rapid collaborative reflection to improve collaborative practices
Author(s)
Park, Soya
Kulkarni, Chinmay
Date Issued
October 4, 2023
Journal
Proceedings of the ACM on Human-Computer Interaction
Publisher
ACM
Citation
Park, Soya and Kulkarni, Chinmay. 2023. "Retrospector: Rapid collaborative reflection to improve collaborative practices." Proceedings of the ACM on Human-Computer Interaction, 7 (CSCW2).
Version
Final published version
Abstract
Online platforms for freelancing allow teams performing complex work to be assembled in a matter of minutes and dispersed nearly as quickly. With such short time frames, \rev{ad hoc} and virtual teams have few opportunities to learn strategies and effective team practices to work with their colleagues.
Without such practices, teams are prone to work sub-optimally and lack direction. One key challenge in virtual teams discovering effective team practices is that because \fix{the} practices \fix{ought to} involve situated knowledge, \fix{it takes} time to coalesce, as team members learn about each other over time.
This work introduces \Sys{}, that \rev{ad hoc} teams can use to reflect collaboratively and reinforce effective \fix{team} practices. Our interface accelerates \rev{the discovery of} practices \rev{in situ} and then guides them in reinforcing and applying these practices to future tasks. We conducted a between-subjects experiment (N=75) to assess our design with crowdworkers from the Amazon Mechanical Turk platform. This randomized controlled experiment showed that teams using our system for approximately six minutes of collaborative reflection were able to discover effective practices more successfully and had significantly improved team performance and viability. These results indicate that deliberate support for improving team practices can improve outcomes even through very short interaction. We conclude with design implications and opportunities for future work.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3610084
