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Framing Effects on Privacy Concerns about a Home Telepresence Robot

Published: 06 March 2017 Publication History

Abstract

Privacy-sensitive robotics is an emerging area of HRI research. Judgments about privacy would seem to be context-dependent, but none of the promising work on contextual "frames" has focused on privacy concerns. This work studies the impact of contextual "frames" on local users' privacy judgments in a home telepresence setting. Our methodology consists of using an online questionnaire to collect responses to animated videos of a telepresence robot after framing people with an introductory paragraph. The results of four studies indicate a large effect of manipulating the robot operator's identity between a stranger and a close confidante. It also appears that this framing effect persists throughout several videos. These findings serve to caution HRI researchers that a change in frame could cause their results to fail to replicate or generalize. We also recommend that robots be designed to encourage or discourage certain frames.

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cover image ACM Conferences
HRI '17: Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
March 2017
510 pages
ISBN:9781450343367
DOI:10.1145/2909824
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 March 2017

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Author Tags

  1. context
  2. frames
  3. human-robot interaction
  4. privacy

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HRI '17 Paper Acceptance Rate 51 of 211 submissions, 24%;
Overall Acceptance Rate 268 of 1,124 submissions, 24%

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  • (2024)Understanding Perceived Utility and Comfort of In-Home General-Purpose Sensing through Progressive ExposureProceedings of the ACM on Human-Computer Interaction10.1145/36374328:CSCW1(1-32)Online publication date: 26-Apr-2024
  • (2024)I feel being there, they feel being together: Exploring How Telepresence Robots Facilitate Long-Distance Family CommunicationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642305(1-18)Online publication date: 11-May-2024
  • (2024)Social Robots in Healthcare: Characterizing Privacy ConsiderationsCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640713(568-572)Online publication date: 11-Mar-2024
  • (2024)An Exploration of Mock Scenarios as a Prospective Method for Informing Law and Policy Thinking on Service RoboticsCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640566(892-895)Online publication date: 11-Mar-2024
  • (2024)Telepresence Robots for Dynamic, Safety-Critical EnvironmentsCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3638376(130-132)Online publication date: 11-Mar-2024
  • (2024)Degrees of Freedom: A Storytelling Game that Supports Technology Literacy about Social Robots2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731340(2095-2102)Online publication date: 26-Aug-2024
  • (2024)Is the Robot Spying on me? A Study on Perceived Privacy in Telepresence Scenarios in a Care Setting with Mobile and Humanoid RobotsInternational Journal of Social Robotics10.1007/s12369-024-01153-xOnline publication date: 13-Aug-2024
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  • (2023)Security Aspects of Social Robots in Public Spaces: A Systematic Mapping StudySensors10.3390/s2319805623:19(8056)Online publication date: 24-Sep-2023
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