Investigating Customers’ Perceived Sensitivity of Information Shared with a Robot Bartender

Alessandra Rossi, G. Perugia, Silvia Rossi

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

6 Citaten (Scopus)

Samenvatting

Personalised experiences with service robots positively affect people’s perception of the robot and, consequently, foster the success of the interaction. This implies that people need to share their personal information with the robot, which could let people feel uneasy when such interactions happen in public spaces or in the presence of strangers. Therefore, it is difficult for a service robot to personalise a human-robot interaction (HRI) when this can lead to a breach of privacy. As a first step, the current study investigated people’s perception of the sensitivity of various categories of potentially private personal information that are likely to be used by a service robot in a public business, such as a bar. We conducted a questionnaire-based study, where participants rated 15 personal information that they could share with either a human or robot bartender. The potentially private information was rated by participants according to their level of sensitivity. We analysed responses from 76 participants. We clearly identified information that are perceived as highly sensitive, such as those related to a person’s identity (e.g. sexual orientation, political beliefs), and as low in sensitivity, such as those related to personal interests (e.g. sports, TV shows). Our findings also showed that older people consider sharing their preference of drinks more sensitive than younger people, especially when the bartender is a robot. We did not find significant differences in users’ ratings due to their gender.
Originele taal-2Engels
TitelSocial Robotics - 13th International Conference, ICSR 2021, Proceedings
Subtitel13th International Conference, ICSR 2021, Singapore, Singapore, November 10–13, 2021, Proceedings
RedacteurenHaizhou Li, Shuzhi Sam Ge, Yan Wu, Agnieszka Wykowska, Hongsheng He, Xiaorui Liu, Dongyu Li, Jairo Perez-Osorio
Plaats van productieCham
UitgeverijSpringer
Hoofdstuk11
Pagina's119-129
Aantal pagina's11
ISBN van elektronische versie978-3-030-90525-5
ISBN van geprinte versie978-3-030-90524-8
DOI's
StatusGepubliceerd - nov. 2021
Evenement13th International Conference on Social Robotics, ICSR 2021 - Signapore, Singapore
Duur: 10 nov. 202113 nov. 2021
Congresnummer: 13

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13086 LNAI
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres13th International Conference on Social Robotics, ICSR 2021
Verkorte titelICSR 2021
Land/RegioSingapore
StadSignapore
Periode10/11/2113/11/21

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