Privacy Communication Patterns for Domestic Robots

MCML Authors

Maximiliane Windl

→ Group Albrecht Schmidt
 Human-Centered Ubiquitous Media

Albrecht Schmidt

Prof. Dr.

Principal Investigator

Human-Centered Ubiquitous Media

Sven Mayer

Prof. Dr.

Associate

* Former Associate

Abstract

Future domestic robots will become integral parts of our homes. They will have various sensors that continuously collect data and varying locomotion and interaction capabilities, enabling them to access all rooms and physically manipulate the environment. This raises many privacy concerns. We investigate how such concerns can be mitigated, using all possibilities enabled by the robot's novel locomotion and interaction abilities. First, we found that privacy concerns increase with advanced locomotion and interaction capabilities through an online survey (N=90). Second, we conducted three focus groups (N=22) to construct 86 patterns to communicate the states of microphones, cameras, and the internet connectivity of domestic robots. Lastly, we conducted a large-scale online survey (N=1720) to understand which patterns perform best regarding trust, privacy, understandability, notification qualities, and user preference. Our final set of communication patterns will guide developers and researchers to ensure a privacy-preserving future with domestic robots.

inproceedings

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SOUPS 2024

20th Symposium on Usable Privacy and Security. Philadelphia, PA, USA, Aug 11-13, 2024.

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Authors

M. Windl • J. Leusmann • A. Schmidt • S. S. Feger • S. Mayer

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Links

URL

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Research Area

 C5 | Humane AI