Presentation
28. Developing a Team Classification Scheme for Human-Agent Teaming
SessionPoster Session 2
DescriptionThis study develops a team classification scheme for human-agent teaming (HAT) and, based on this, analyzes 25 testbeds utilized in 68 empirical studies on HAT. The team classification scheme, adapting an existing scheme used for human-human teams, consists of 9 dimensions, including team composition, task interdependence, role structure, leadership structure, authority differentiation, communication structure, communication direction, communication medium, and team life span. This scheme was then applied to analyze 25 testbeds utilized in 68 empirical studies. We found that a significant portion of existing literature on HAT focused on teams consisting of one human and one agent, with humans typically assuming leadership roles. Moreover, the dynamics within these teams tended to remain static over time. Our findings highlight the importance of further research into diverse team attributes, such as team composition, leadership structure, and communication structure. Such efforts would facilitate a deeper understanding of complex team dynamics in human-agent teaming.
Event Type
Poster
TimeThursday, September 12th5:30pm - 6:30pm MST
LocationMcArthur Ballroom
Aging
Augmented Cognition
Children's Issues
Communications
Cybersecurity
Education
Environmental Design
General Sessions
Human AI Robot Teaming (AI)
Macroergonomics
Occupational Ergonomics
Student Forum
Surface Transportation
Sustainability
System Development