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Chatbot-based Emotion Management for Distributed Teams
- Source :
- Proceedings of the ACM on Human-Computer Interaction. 4:1-30
- Publication Year :
- 2020
- Publisher :
- Association for Computing Machinery (ACM), 2020.
-
Abstract
- Fueled by the pervasion of tools like Slack or Microsoft Teams, the usage of text-based communication in distributed teams has grown massively in organizations. This brings distributed teams many advantages, however, a critical shortcoming in these setups is the decreased ability of perceiving, understanding and regulating emotions. This is problematic because better team members? abilities of emotion management positively impact team-level outcomes like team cohesion and team performance, while poor abilities diminish communication flow and well-being. Leveraging chatbot technology in distributed teams has been recognized as a promising approach to reintroduce and improve upon these abilities. In this article we present three chatbot designs for emotion management for distributed teams. In order to develop these designs, we conducted three participatory design workshops which resulted in 153 sketches. Subsequently, we evaluated the designs following an exploratory evaluation with 27 participants. Results show general stimulating effects on emotion awareness and communication efficiency. Further, they report emotion regulation and increased compromise facilitation through social and interactive design features, but also perceived threats like loss of control. With some design features adversely impacting emotion management, we highlight design implications and discuss chatbot design recommendations for enhancing emotion management in teams.
- Subjects :
- Knowledge management
Computer Networks and Communications
Computer science
business.industry
Compromise
media_common.quotation_subject
Interactive design
Control (management)
Cohesion (computer science)
computer.software_genre
Chatbot
Emotion management
Human-Computer Interaction
Participatory design
Emotion awareness
business
computer
Social Sciences (miscellaneous)
media_common
Subjects
Details
- ISSN :
- 25730142
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- Proceedings of the ACM on Human-Computer Interaction
- Accession number :
- edsair.doi...........378fd58349b740769b7f7ce79cf7d945
- Full Text :
- https://doi.org/10.1145/3415189