Agent Failure and Trust Repair in Human-Agent Teams
Interdependence Impact on Trust Repair Strategy and Collaboration Fluency in Human-AI Team
T. Narbutas (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Ruben Verhagen – Mentor (TU Delft - Interactive Intelligence)
Myrthe L. Tielman – Mentor (TU Delft - Interactive Intelligence)
U.K. Gadiraju – Graduation committee member (TU Delft - Web Information Systems)
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Abstract
Interdependence relationships between humans and agents play a crucial role in the collaborative AI field. This research paper examines the impact of interdependence on trust violation, trust repair strategies, and collaboration fluency in human-AI teams. It compares independent cooperation and required interdependence approaches, focusing on collaborative AI, trust dynamics, and collaboration fluency. The paper presents a user study involving 30 participants in different interdependence conditions, analyzing data from trust surveys, collaboration fluency surveys, performance metrics, and AI agent idle time. The findings enhance understanding of human-agent collaboration fluency and as well as the interdependence relationship impact on trust.