{"id":13025,"date":"2025-11-16T17:52:30","date_gmt":"2025-11-16T16:52:30","guid":{"rendered":"https:\/\/humanfactors.uni-mainz.de\/?page_id=13025"},"modified":"2026-03-17T13:37:41","modified_gmt":"2026-03-17T12:37:41","slug":"forschung-2","status":"publish","type":"page","link":"https:\/\/humanfactors.uni-mainz.de\/en\/forschung-2\/","title":{"rendered":"Research"},"content":{"rendered":"\n<\/jgu-base-pageheader>\n
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Our research focuses on the psychology (the experience) of humans interacting with intelligent, automated, and autonomous systems<\/strong> to create scientific knowledge to support human-centered design<\/strong> of these systems.<\/p> Prof. Dr. Johannes Kraus<\/cite><\/blockquote><\/figure>\n\n

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Human Factors and Engineering Psychology are disciplines within Applied Psychology<\/strong>. The goal is to generate knowledge about how people process and understand information when interacting with modern, intelligent technologies, how they learn about these systems, and how decisions are made in collaboration with them. To this end, research combines psychological principles<\/strong> with approaches from engineering and computer science <\/strong>to make the interaction between humans and intelligent technologies \u2013 such as automated vehicles, robots, or AI systems \u2013 safe, efficient, and acceptable. <\/p>\n\n\n\n

In addition to classic topics such as perception and cognition, the department investigates current issues relating to trust in AI, explainability of technical systems (Explainable AI), accessibility, and the ethical and social implications of technological innovations. The goal is to translate scientific findings into practical applications and thereby contribute to effective, safe, responsible, human-centered technology design<\/strong>. <\/p>\n\n\n\n

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