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

Conference Paper (2020)
Author(s)

Tahir Abbas (Eindhoven University of Technology)

Giovanni Corpaccioli (Eindhoven University of Technology)

Vassilis-Javed Khan (Eindhoven University of Technology)

Ujwal Gadiraju (Leibniz University of Hannover)

Emilia Barakova (Eindhoven University of Technology)

Panos Markopoulos (Eindhoven University of Technology)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1145/3371382.3378332
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Publication Year
2020
Language
English
Affiliation
External organisation
Pages (from-to)
84-86
ISBN (electronic)
9781450370578

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.

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