期刊
PROCEEDINGS OF IUI 2019
卷 -, 期 -, 页码 437-447出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3301275.3302264
关键词
Teaming; Team Formation; Team Companion; Personality Inference; Conversational Agent; Chatbot
资金
- Air Force Office of Scientific Research [FA9550-15-C-0032]
We are building an intelligent agent to help teaming efforts. In this paper, we investigate the real-world use of such an agent to understand students deeply and help student team formation in a large university class involving about 200 students and 40 teams. Specifically, the agent interacted with each student in a text-based conversation at the beginning and end of the class. We show how the intelligent agent was able to elicit in-depth information from the students, infer the students' personality traits, and reveal the complex relationships between team personality compositions and team results. We also report on the students' behavior with and impression of the agent. We discuss the benefits and limitations of such an intelligent agent in helping team formation, and the design considerations for creating intelligent agents for aiding in teaming efforts.
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