Work

Think and Play: Designing and Evaluating Human-AI Teaming Dynamics in Gaming Environments

Year: 2025

Type: conference-paper

Abstract: To investigate Human-Machine Teaming (HMT) dynamics---and how AI capabilities influence team behavior and performance---we propose a series of three studies to explore communication, coordination, and adaptation in HMT paradigms. To support these investigations, we are developing multiple AI agents and using collaborative games as testing environments to evaluate the human-AI team performance. This work contributes to two central topics in HMT research: 1) the bidirectional adjustments that human and AI agents may develop when working as a team and, 2) how different types of AI agents and interventions can impact the teaming efficiency in human-AI teaming.

Source: Proceedings of the AAAI Symposium Series

DOI: 10.1609/aaaiss.v5i1.35579

Authors: Qiao Zhang, Christopher J. Maclellan

Institution: Georgia Institute of Technology

Language: English

Topic: Human-Automation Interaction and Safety

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: diamond

Funders: Carnegie Mellon University, Strong, University of California, San Diego

OpenAlex ID: W4410822905

FWCI:

Cites: 14

Cited by:

Related to: 10