Abstract
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.
Original language | English (US) |
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Pages | 437-447 |
Number of pages | 11 |
DOIs | |
State | Published - 2019 |
Event | 24th ACM International Conference on Intelligent User Interfaces, IUI 2019 - Marina del Ray, United States Duration: Mar 17 2019 → Mar 20 2019 |
Conference
Conference | 24th ACM International Conference on Intelligent User Interfaces, IUI 2019 |
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Country/Territory | United States |
City | Marina del Ray |
Period | 3/17/19 → 3/20/19 |
Keywords
- Chatbot
- Conversational Agent
- Personality Inference
- Team Companion
- Team Formation
- Teaming
ASJC Scopus subject areas
- Software
- Human-Computer Interaction