2026-09-19T20:41:12Zhttps://ecommons.cornell.edu/server/oai/requestoai:ecommons.cornell.edu:1813/1174892026-05-15T17:52:37Zcom_1813_35col_1813_47
Yan, Yunting
Hoffman, Guy
Bhattacharjee, Tapomayukh
2025-08-20T21:36:08Z
2025-08-20T21:36:08Z
2025-05
ProQuest Submission ID: 12414
ProQuest Publication ID: 31999941
https://hdl.handle.net/1813/117489
https://doi.org/10.7298/rg3m-hk37
16938349
53 pages
This paper presents the results of an experimental study investigating how users’ perception of privacy loss influences their comfort levels, when interacting with camera-equipped domestic robots. We utilize a privacy-enhancing feature: a translucent camera cover that blurs the robot’s vision while preserving a limited degree of functionality for computer vision algorithms. Our findings indicate that participants perceived greater privacy protection when the robot is equipped with a translucent cover compared to a transparent one. This perceived protection led to higher levels of comfort during interactions with household activities. Moreover, the increase in comfort was consistent for all participants, regardless of their prior attitudes towards privacy concerns. These results suggest that privacy preserving features can serve as strategies to improve user comfort in domestic human-robot interactions.
en
Domestic Robot
Human-robot interaction
Privacy
User Perceptions of Privacy and Comfort in Domestic Service Robots
dissertation or thesis
https://newcatalog.library.cornell.edu/catalog/16938349
application/pdf
Mechanical Engineering
Cornell University
Master of Science
M.S., Mechanical Engineering
https://hdl.handle.net/1813/59810.2
Publication
Cornell Theses and Dissertations
Yan, Yunting
5893a6ea-7af3-41d7-abc6-04bcd26ab5df
open.access
open.access
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<Abstract>This paper presents the results of an experimental study investigating how users’ perception of privacy loss influences their comfort levels, when interacting with camera-equipped domestic robots. We utilize a privacy-enhancing feature: a translucent camera cover that blurs the robot’s vision while preserving a limited degree of functionality for computer vision algorithms. Our findings indicate that participants perceived greater privacy protection when the robot is equipped with a translucent cover compared to a transparent one. This perceived protection led to higher levels of comfort during interactions with household activities. Moreover, the increase in comfort was consistent for all participants, regardless of their prior attitudes towards privacy concerns. These results suggest that privacy preserving features can serve as strategies to improve user comfort in domestic human-robot interactions.</Abstract>
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