Agent-Based Dynamic Collaboration Support in a Smart Office Space

Yansen Wang, R. Charles Murray, Haogang Bao, Carolyn Rose


Abstract
For the past 15 years, in computer-supported collaborative learning applications, conversational agents have been used to structure group interactions in online chat-based environments. A series of experimental studies has provided an empirical foundation for the design of chat-based conversational agents that significantly improve learning over no-support control conditions and static-support control conditions. In this demo, we expand upon this foundation, bringing conversational agents to structure group interaction into physical spaces, with the specific goal of facilitating collaboration and learning in workplace scenarios.
Anthology ID:
2020.sigdial-1.31
Volume:
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Month:
July
Year:
2020
Address:
1st virtual meeting
Editors:
Olivier Pietquin, Smaranda Muresan, Vivian Chen, Casey Kennington, David Vandyke, Nina Dethlefs, Koji Inoue, Erik Ekstedt, Stefan Ultes
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
257–260
Language:
URL:
https://aclanthology.org/2020.sigdial-1.31
DOI:
10.18653/v1/2020.sigdial-1.31
Bibkey:
Cite (ACL):
Yansen Wang, R. Charles Murray, Haogang Bao, and Carolyn Rose. 2020. Agent-Based Dynamic Collaboration Support in a Smart Office Space. In Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 257–260, 1st virtual meeting. Association for Computational Linguistics.
Cite (Informal):
Agent-Based Dynamic Collaboration Support in a Smart Office Space (Wang et al., SIGDIAL 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.sigdial-1.31.pdf
Video:
 https://youtube.com/watch?v=3uC3ZJSL2Xc