Toward Privacy-Respecting Service Robots
Future service robots have the potential to improve our quality of life across diverse contexts. However, they will introduce multifaceted privacy threats. After detailing such threats, we outline possible research approaches to elicit and implement user privacy preferences, considering robots’ capabilities and their deployment contexts, including multiuser scenarios in public spaces. Our work aims to catalyze future research efforts to promote the responsible, privacy-compliant deployment of such robots.
Authors
- Archan Misra (ORCID: https://orcid.org/0000-0003-1212-1769)
- Delphine Reinhardt (ORCID: https://orcid.org/0000-0001-6802-2108)
Institutions
- Singapore Management University (SG)
Publication Details
- Journal
- IEEE Pervasive Computing
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1109/mprv.2025.3555407
- Citations
- 1
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.49