Related papers: Privacy Risks of Robot Vision: A User Study on Image Modalities and Resolution

Privacy Risks of Robot Vision: A User Study on Image Modalities and Resolution

URL: http://arxiv.org/abs/2505.07766v1
Date: Mon, 12 May 2025 17:16:12 GMT
Title: Privacy Risks of Robot Vision: A User Study on Image Modalities and Resolution
Authors: Xuying Huang, Sicong Pan, Maren Bennewitz,
Abstract summary: We conducted a user study investigating how different image modalities and image resolutions affect users' privacy concerns.<n>Results show that depth images are broadly viewed as privacy-safe, and a similarly high proportion of respondents feel the same about semantic segmentation images.
Score: 8.715498281864212
License: http://creativecommons.org/licenses/by-nc-sa/4.0/
Abstract: User privacy is a crucial concern in robotic applications, especially when mobile service robots are deployed in personal or sensitive environments. However, many robotic downstream tasks require the use of cameras, which may raise privacy risks. To better understand user perceptions of privacy in relation to visual data, we conducted a user study investigating how different image modalities and image resolutions affect users' privacy concerns. The results show that depth images are broadly viewed as privacy-safe, and a similarly high proportion of respondents feel the same about semantic segmentation images. Additionally, the majority of participants consider 32*32 resolution RGB images to be almost sufficiently privacy-preserving, while most believe that 16*16 resolution can fully guarantee privacy protection.

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