{"id":{"repo_id":"cornell","oai_identifier":"oai:ecommons.cornell.edu:1813/117489"},"canonical_url":"https://search.dev.ndltd.org/etd/cornell/oai:ecommons.cornell.edu:1813/117489","repository":{"repo_id":"cornell","name":"Cornell University","base_url":"https://ecommons.cornell.edu/server/oai/request"},"display":{"title":"User Perceptions of Privacy and Comfort in Domestic Service Robots","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_html":"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_has_math":false,"creators":["Yan, Yunting"],"institution":"Cornell University","degree_name":"M.S., Mechanical Engineering","degree_level":"Master of Science","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":["Bhattacharjee, Tapomayukh"],"year":2025,"date_issued":"2025-05","date_published":"2025-05","updated_at":"2026-07-24T01:48:58Z","subjects":["Domestic Robot","Human-robot interaction","Privacy"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.7298/rg3m-hk37"],"render_values":[{"text":"https://doi.org/10.7298/rg3m-hk37","href":"https://doi.org/10.7298/rg3m-hk37","code":true}]},{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["ProQuest Submission ID: 12414","ProQuest Publication ID: 31999941"],"render_values":[{"text":"ProQuest Submission ID: 12414","href":null,"code":true},{"text":"ProQuest Publication ID: 31999941","href":null,"code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/1813/117489","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Bhattacharjee, Tapomayukh"]},{"key":"dc:creator","label":"Author","values":["Yan, Yunting"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-08-20T21:36:08Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-08-20T21:36:08Z"]},{"key":"dc:date.issued","label":"Date","values":["2025-05"]},{"key":"dc:type","label":"Dc Type","values":["dissertation or thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master of Science"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S., Mechanical Engineering"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Cornell University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Domestic Robot","Human-robot interaction","Privacy"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.7298/rg3m-hk37"]},{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["ProQuest Submission ID: 12414","ProQuest Publication ID: 31999941"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1813/117489"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["53 pages"]},{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["User Perceptions of Privacy and Comfort in Domestic Service Robots"]}]}],"canonical_facts":{"dc:contributor.committeemember":["Bhattacharjee, Tapomayukh"],"dc:creator":["Yan, Yunting"],"dc:date.accessioned":["2025-08-20T21:36:08Z"],"dc:date.available":["2025-08-20T21:36:08Z"],"dc:date.issued":["2025-05"],"dc:description":["53 pages"],"dc:description.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. 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