Affiliation:
1. University of Rochester, Computer Science, Rochester, NY, USA
Abstract
We present and discuss a fully-automated collaboration system, CoCo, that allows multiple participants to video chat and receive feedback through custom video conferencing software. After a conferencing session, a virtual feedback assistant provides insights on the conversation to participants. CoCo automatically pulls audial and visual data during conversations and analyzes the extracted streams for affective features, including smiles, engagement, attention, as well as speech overlap and turn-taking. We validated CoCo with 39 participants split into 10 groups. Participants played two back-to-back team-building games, Lost at Sea and Survival on the Moon, with the system providing feedback between the two. With feedback, we found a statistically significant change in balanced participation---that is, everyone spoke for an equal amount of time. There was also statistically significant improvement in participants' self-evaluations of conversational skills awareness, including how often they let others speak, as well as of teammates' conversational skills. The entire framework is available at https://github.com/ROC-HCI/CollaborationCoach_PostFeedback.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction
Reference58 articles.
1. 1996. Lost at Sea. (1996). http://insight.typepad.co.uk/lost_at_sea.pdf 1996. Lost at Sea. (1996). http://insight.typepad.co.uk/lost_at_sea.pdf
2. 2016. Affectiva. http://www.affectiva.com/. (2016). Accessed: 2016-10-30. 2016. Affectiva. http://www.affectiva.com/. (2016). Accessed: 2016-10-30.
3. Service with A Smile and Encounter Satisfaction: Emotional Contagion and Appraisal Mechanisms
Cited by
39 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献