Shane T. Mueller

Metrics for Explainable AI: Challenges and Prospects

2018 · 220 Zit. · arXiv (Cornell University)

Examining the effect of explanation on satisfaction and trust in AI diagnostic systems

2021 · 74 Zit. · BMC Medical Informatics and Decision Making

Explainable AI: roles and stakeholders, desirements and challenges

2023 · 24 Zit. · Frontiers in Computer Science

Increasing the Value of XAI for Users: A Psychological Perspective

2023 · 19 Zit. · KI - Künstliche Intelligenz

Evaluating machine-generated explanations: a “Scorecard” method for XAI measurement science

2023 · 13 Zit. · Frontiers in Computer Science

Examining Physicians’ Explanatory Reasoning in Re-Diagnosis Scenarios for Improving AI Diagnostic Systems

2022 · 9 Zit. · Journal of Cognitive Engineering and Decision Making

Assessing Collaborative Explanations of AI using Explanation Goodness Criteria

2021 · 5 Zit. · Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Assessing Satisfaction in and Understanding of a Collaborative Explainable AI (Cxai) System through User Studies

2022 · 3 Zit. · Proceedings of the Human Factors and Ergonomics Society Annual Meeting

The Myth of Diagnosis as Classification: Examining the Effect of Explanation on Patient Satisfaction and Trust in AI Diagnostic Systems

2021 · 1 Zit. · Research Square (Research Square)

Development of a Generative AI-Based Platform for Construction Education by Integrating Retrieval-Augmented Generation

2026 · 0 Zit. · Journal of Management in Engineering