Papers

12

Total Citations

277

H-Index

8

About

Benedikt Leichtmann is a leading researcher in human-robot interaction (HRI), focusing on the psychological and social dynamics between humans and robots. His work spans personal space in HRI, replicability in user studies, and the development of validated scales for technology use. Leichtmann’s meta-analysis on human-robot distancing (87 citations) provides foundational insights into how people maintain personal space around robots, while his critical examination of replicability issues in HRI (66 citations) has sparked important methodological discussions. He developed and validated the Basic Psychological Needs Scale for Technology Use (BPN-TU), a tool grounded in self-determination theory that measures autonomy, competence, and relatedness in technology contexts. His studies on social desirability effects and contextual factors like room size and cognitive load have advanced theoretical models of HRI. Leichtmann also explores trust and collaboration in mixed-reality teaming, and his recent work investigates how loneliness influences robot anthropomorphization. With over 250 citations, his contributions are shaping both the theoretical and practical understanding of human-robot relationships, making him a key voice in ensuring rigorous, replicable, and psychologically informed HRI research.

Research Focus

Key Achievements

8
H-Index
12
Papers
277
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
How much distance do humans keep toward robots? Literature review, meta-analysis, and theoretical considerations on personal space in human-robot interaction
87 citations · 2020
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: RWTH Aachen University, Johannes Kepler University of Linz, Institute of Industrial Engineering

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago