@inproceedings{wang-etal-2020-agent,
title = "Agent-Based Dynamic Collaboration Support in a Smart Office Space",
author = "Wang, Yansen and
Murray, R. Charles and
Bao, Haogang and
Rose, Carolyn",
editor = "Pietquin, Olivier and
Muresan, Smaranda and
Chen, Vivian and
Kennington, Casey and
Vandyke, David and
Dethlefs, Nina and
Inoue, Koji and
Ekstedt, Erik and
Ultes, Stefan",
booktitle = "Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue",
month = jul,
year = "2020",
address = "1st virtual meeting",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.sigdial-1.31",
doi = "10.18653/v1/2020.sigdial-1.31",
pages = "257--260",
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.",
}
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%0 Conference Proceedings
%T Agent-Based Dynamic Collaboration Support in a Smart Office Space
%A Wang, Yansen
%A Murray, R. Charles
%A Bao, Haogang
%A Rose, Carolyn
%Y Pietquin, Olivier
%Y Muresan, Smaranda
%Y Chen, Vivian
%Y Kennington, Casey
%Y Vandyke, David
%Y Dethlefs, Nina
%Y Inoue, Koji
%Y Ekstedt, Erik
%Y Ultes, Stefan
%S Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue
%D 2020
%8 July
%I Association for Computational Linguistics
%C 1st virtual meeting
%F wang-etal-2020-agent
%X 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.
%R 10.18653/v1/2020.sigdial-1.31
%U https://aclanthology.org/2020.sigdial-1.31
%U https://doi.org/10.18653/v1/2020.sigdial-1.31
%P 257-260
Markdown (Informal)
[Agent-Based Dynamic Collaboration Support in a Smart Office Space](https://aclanthology.org/2020.sigdial-1.31) (Wang et al., SIGDIAL 2020)
ACL