Authors: N Haduong
Year: 2025
Published in: 2025 - search.proquest.com
Institution: University of Washington
Research Area: Human-AI Interaction and Perception
Discipline: Human-Computer Interaction (HCI)
The research focuses on developing methodologies to bridge the gap between controlled laboratory studies and real-world human-AI perceptions and interactions, promoting task immersion and intrinsic motivation to model realistic behaviors.
Methods: Used task immersion techniques, domain-specific recruitment, error taxonomy development, and CPS-TaskForge environment generator for systematic study of collaborative problem solving and AI-assisted decision-making.
Key Findings: Human perceptions of AI in collaborative problem solving, understanding risks in AI-assisted decision making, and user behavior under performance pressure with AI advice.