Publications
16
Citations
74
Est. group size
~1
Recurring co-author estimate
Active years
7
Publishing since 2020
Dane A. Morey studies how humans and AI or automated systems can work together effectively, especially in healthcare settings. Their work looks at how to make AI-based tools understandable and trustworthy to users, how to design workflows where humans and machines share tasks (called 'joint activity' or 'human-machine teaming'), and how these ideas apply to problems like hospital infection prevention and COVID-19 case-finding.
Publication output began around 2020 and has remained fairly steady since, averaging about two papers per year over the last five years with no clear upward or downward trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Four Aspirations for Evaluating AI-Infused Technologies: A Narrative Review
Journal of Cognitive Engineering and Decision Making · 2026
- Toward Scalable Research: Comparing Structured and Unstructured Data Collection Mechanisms
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2025
- When Usability Undermines Explainability: A Case Study Designing AI-Infused Technologies in Healthcare
Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care · 2025
- Situated Interpretation and Data: Explainability to Convey Machine Misalignment
IEEE Transactions on Human-Machine Systems · 2023
- Towards Joint Activity Design Heuristics: Essentials for Human-Machine Teaming
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2023
- Using Bandit Algorithms to Maximize SARS-CoV-2 Case-Finding: Evaluation and Feasibility Study
JMIR Public Health and Surveillance · 2023
- From Reactive to Proactive Safety: Joint Activity Monitoring for Infection Prevention
Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care · 2022
- Using Bandit Algorithms to Maximize SARS-CoV-2 Case-Finding: Evaluation and Feasibility Study (Preprint)
2022
- Maximizing the Efficiency of Active Case Finding for SARS-CoV-2 Using Bandit Algorithms
Medical Decision Making · 2021
- Panel Discussion Cognitive Engineering: Will They Know Our Name When We Are 40?
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2021
- Symbiotic Design Application in Healthcare: Preventing Hospital Acquired Infections
Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care · 2021
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting×5
- Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care×5
- npj Digital Medicine×1
- IEEE Transactions on Human-Machine Systems×1
- Medical Decision Making×1
- Michael F. Rayo
Medicine · The Ohio State University
- Morgan Reynolds
Medicine · The Ohio State University
- David D. Woods
Psychology · The Ohio State University
- Debra Henneberry
Psychology · Purdue University West Lafayette
- Neelakshi Majumdar
Psychology · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile