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Cornell University

User Perceptions of Privacy and Comfort in Domestic Service Robots

Abstract

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. These results suggest that privacy preserving features can serve as strategies to improve user comfort in domestic human-robot interactions.

Degree

thesis:*
Name thesis:degree_name
M.S., Mechanical Engineering
Level thesis:degree_level
Master of Science
Discipline thesis:degree_discipline
Mechanical Engineering
Grantor
Cornell University
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yan, Yunting
Committee member dc:contributor.committeemember
  • Bhattacharjee, Tapomayukh

Subjects

dc:subject × 3

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
ProQuest Submission ID: 12414
ProQuest Publication ID: 31999941
OAI identifier oai:identifier
oai:ecommons.cornell.edu:1813/117489

Chain of custody

source
Harvested from
Cornell University
Base URL
ecommons.cornell.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Yan, Yunting. User Perceptions of Privacy and Comfort in Domestic Service Robots. Master of Science thesis, Cornell University, 2025. https://hdl.handle.net/1813/117489