How do People Perceive Privacy and Interaction Quality while Chatting with a Crowd-operated Robot?

Tahir Abbas, Giovanni Corpaccioli, Vassilis-Javed Khan, Ujwal Gadiraju, Emilia Barakova, Panos Markopoulos

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

The aim of this study is to understand users' experience and their perceived privacy, while interacting with a crowd-operated social robot. We conducted a between-subjects user study, wherein the robot broadcasts both audio and video to crowd workers in one condition, as opposed to broadcasting only the participants' audio cues in the other condition. A sample of 14 students took part in this study, and was divided into 2 groups (video and No-Video group). Participants were asked to use the help of a crowd-operated Pepper robot to find their next holiday destination. Once the interaction was completed, participants assessed the social intelligence, user experience and privacy aspects of the robot in both conditions. No significant differences were experienced by participants regarding social intelligence and user experience across both conditions. Interestingly, less privacy was perceived by the group with an audio-only broadcast feed compared to the audio-video feed.
Original languageEnglish
Title of host publicationHRI ’20 Companion, March 23–26, 2020, Cambridge, United Kingdom
Number of pages5
ISBN (Electronic)78-1-4503-7057-8
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventHRI ’20: 15th Annual ACM/IEEE International Conference on Human-Robot Interaction - Cambridge, United Kingdom
Duration: 23 Mar 202026 Mar 2020
Conference number: 15

Conference

ConferenceHRI ’20: 15th Annual ACM/IEEE International Conference on Human-Robot Interaction
Abbreviated titleHRI ’20
CountryUnited Kingdom
CityCambridge
Period23/03/2026/03/20

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