Papers

9

Total Citations

178

H-Index

6

About

Izz Aldin Hamdan investigates the critical intersection of trust, communication, and performance within human-autonomy teams (HATs), with a particular focus on human-robot and human-swarm interactions. His work systematically examines how unexpected robot behaviors, trust violations, and system degradations shape human perceptions and reliance on autonomous systems. Hamdan’s research demonstrates that trust dynamics differ fundamentally between human-human and human-robot collaborations, revealing differential biases that influence risk-taking and cooperation. His most cited work (85 citations) explores how explanations following unanticipated robot actions affect trust repair, a cornerstone for designing transparent and resilient autonomous teammates. He has also advanced understanding of system-wide trust in swarms, showing how asset degradation impacts operator reliance intentions and behaviors. Through experimental paradigms involving trust games and degradation detection tasks, Hamdan provides empirical evidence on how ability, benevolence, and integrity violations uniquely affect human-machine relationships. His contributions are vital for developing trustworthy autonomous systems in defense, healthcare, and collaborative robotics, offering actionable insights for engineers and human factors practitioners.

Research Focus

Key Achievements

6
H-Index
9
Papers
178
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Explanations and trust: What happens to trust when a robot partner does something unexpected?
85 citations · 2022
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: General Dynamics (United States), United States Air Force Research Laboratory, General Dynamics (Canada)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago