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In this paper we propose a new model for teamwork that integrates team cognition, collective intelligence, and artificial intelligence. We do this by first characterizing what sets team cognition and collectively intelligence apart, and then reviewing the literature on “superforecasting” and the ability for effectively coordinated teams to outperform predictions by large groups. Lastly, we delve into the ways in which teamwork can be enhanced by artificial intelligence through our model, finally highlighting the many areas of research worth exploring through interdisciplinary efforts.
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Traffic Stop: Interactive Story AI for Virtual Reality Training
Traffic Stop is a virtual reality de-escalation training simulation for police officers that has an interactive story driven by artificial intelligence. This project was funded by the U.S. National Science Foundation and led by Prof. Stephen Ware of the Narrative Intelligence Lab at the University of Kentucky.
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- PAR ID:
- 10567269
- Publisher / Repository:
- Zenodo
- Date Published:
- Subject(s) / Keyword(s):
- artificial intelligence virtual reality training interactive narrative
- Format(s):
- Medium: X Other: mp4
- Right(s):
- Creative Commons Attribution 4.0 International
- Sponsoring Org:
- National Science Foundation
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