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.

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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
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article

Toward Privacy-Respecting Service Robots

Archan Misra, Delphine Reinhardt
1 citations
IEEE Pervasive Computing
Advanced Malware Detection Techniques
1.49
article

Toward Privacy-Respecting Service Robots

Archan Misra, Delphine Reinhardt
article en
1 citations

Abstract

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.

IEEE Pervasive ComputingVol. 24(3)
Singapore Management University (SG)
Openalex Percentile: Top 20%
Advanced Malware Detection Techniques
1.49
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