Privacy-Secure HRI: Framework of Human-Robot Interaction Protecting User's Privacy

The use of robots that interact with humans in social services has been attracting attention, and the rapid development of AI for automatic dialogue generation has raised expectations for its realization. However, the issue of privacy protection of dialogues between robot and human, which is important when using actual services, has not been taken into account. In this study, we propose a privacy-secure dialogue framework for human-robot interaction (HRI) that comprehensively protects the privacy of dialogue content when a human and a robot engage in dialogue, and we consider privacy protection in all stages from continuous speaker authentication to dialogue generation and dialogue approach. This framework will greatly contribute to the social diffusion of interactive robot services, which are expected to play an active role in public spaces in the future.

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Published
2024-11-20
DOI
https://doi.org/10.1145/3687272.3690890
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
0.00

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article

Privacy-Secure HRI: Framework of Human-Robot Interaction Protecting User's Privacy

Yoshihiko Murakawa, Masayuki Kanbara, Isao Nakanishi
Privacy, Security, and Data Protection
article

Privacy-Secure HRI: Framework of Human-Robot Interaction Protecting User's Privacy

Yoshihiko Murakawa, Masayuki Kanbara, Isao Nakanishi
article en

Abstract

The use of robots that interact with humans in social services has been attracting attention, and the rapid development of AI for automatic dialogue generation has raised expectations for its realization. However, the issue of privacy protection of dialogues between robot and human, which is important when using actual services, has not been taken into account. In this study, we propose a privacy-secure dialogue framework for human-robot interaction (HRI) that comprehensively protects the privacy of dialogue content when a human and a robot engage in dialogue, and we consider privacy protection in all stages from continuous speaker authentication to dialogue generation and dialogue approach. This framework will greatly contribute to the social diffusion of interactive robot services, which are expected to play an active role in public spaces in the future.

Teikyo Heisei University (JP), Konan University (JP), Tottori University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 67%
Privacy, Security, and Data Protection
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Privacy-Secure HRI: Framework of Human-Robot Interaction Protecting User's Privacy — Yoshihiko Murakawa, Masayuki Kanbara, et al. · (2024) | TGRS Research Map | TGRS