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-2 | Engels |
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Titel | Social Robotics - 13th International Conference, ICSR 2021, Proceedings |
Subtitel | 13th International Conference, ICSR 2021, Singapore, Singapore, November 10–13, 2021, Proceedings |
Redacteuren | Haizhou Li, Shuzhi Sam Ge, Yan Wu, Agnieszka Wykowska, Hongsheng He, Xiaorui Liu, Dongyu Li, Jairo Perez-Osorio |
Plaats van productie | Cham |
Uitgeverij | Springer |
Hoofdstuk | 11 |
Pagina's | 119-129 |
Aantal pagina's | 11 |
ISBN van elektronische versie | 978-3-030-90525-5 |
ISBN van geprinte versie | 978-3-030-90524-8 |
DOI's | |
Status | Gepubliceerd - nov. 2021 |
Evenement | 13th International Conference on Social Robotics, ICSR 2021 - Signapore, Singapore Duur: 10 nov. 2021 → 13 nov. 2021 Congresnummer: 13 |
Publicatie series
Naam | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13086 LNAI |
ISSN van geprinte versie | 0302-9743 |
ISSN van elektronische versie | 1611-3349 |
Congres
Congres | 13th International Conference on Social Robotics, ICSR 2021 |
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Verkorte titel | ICSR 2021 |
Land/Regio | Singapore |
Stad | Signapore |
Periode | 10/11/21 → 13/11/21 |