@inproceedings{oechsner2025influence,
title = {Influence of Perceived Danger on Proxemics in Human-Robot Object Handovers},
author = {Carl Oechsner and Jan Leusmann and Robin Welsch and Andreas Butz and Sven Mayer},
url = {https://sven-mayer.com/wp-content/uploads/2025/08/oechsner2025influence.pdf
https://osf.io/v3ypb},
doi = {10.1145/3743049.3743064},
year = {2025},
date = {2025-08-31},
urldate = {2025-08-31},
booktitle = {Proceedings of Mensch und Computer 2025},
publisher = {Association for Computing Machinery},
address = {Chemnitz, Germany},
series = {MuC\'25},
abstract = {As robots increasingly share human environments, we need to understand how their behavioral parameters affect our perceptions of safety and interaction quality. To explore this, we conducted a user study (N=48) investigating the relationship between approach speed, stopping distance, and the perceived danger of the object itself in a robot-human handover situation. Participants iteratively adjusted the speed and distance of a robot handing them items of varying danger categories to find a combination they considered optimal. We found a significant impact of the delivered item\'s perceived danger index on speed and distance preferences and could identify a linear dependency. By eliciting user preferences for these parameters, we can provide guidelines for adaptable robotic interactions that are considered safe, thus contributing to the design of spaces where robots and humans can coexist seamlessly, emphasizing user experience, trust, and effective collaboration.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}