TY - GEN
T1 - A Qualitative Observational Video-Based Study on Perceived Privacy in Social Robots' Based on Robots Appearances
AU - Lindblom, Diana S.
AU - Van Otterdijk, Marieke
AU - Torresen, Jim
PY - 2024
Y1 - 2024
N2 - Privacy has recently got attention, especially since the introduction of the General Data Protection Regulation (GDPR) in Europe, the new Artificial Intelligence Act (AIA) and the new Machinery Regulation. Privacy can be defined as someone's right to keep personal matters, including personal life, personal information, or relationships, to themselves. A social robot's appearance (=the combination of embodiment and motion) may contribute to how human users perceive them, including how these robots are perceived in relation to privacy. If these robots are part of certain services such as home- or healthcare, these may also have consequences on how these services are perceived. This study aims at showcasing the users' perception of privacy based on the perceived robot's appearance. Three social robots were chosen for this purpose: PLEO (with a zoomorphic appearance), Pepper (with a childlike anthropomorphic appearance), and TIAGo (with a mechanical and asymmetrical appearance). The data was collected through an in-lab observational video-based study from 50 participants with very limited- or no experience with robots. Our findings show that PLEO was perceived as preserving most of the users' privacy, while Pepper was perceived as more privacy-invasive than PLEO but less than TIAGo. TIAGo was perceived as hard to interpret in terms of privacy. Our findings also point out that designing robots with a cute appearance, such as PLEO, may contribute to participants trusting the robot more and thus being willing to share their data. The paper provides a list of characteristics that participants associated with a social robot as preserving or not their privacy. Further, the paper discusses the appearance of these social robots in terms of 'cuteness' as a dark pattern in the design of social robots that may lead to data myopia, but also the possible consequences this may have, for vulnerable users, while trying to design more inclusive robots.
AB - Privacy has recently got attention, especially since the introduction of the General Data Protection Regulation (GDPR) in Europe, the new Artificial Intelligence Act (AIA) and the new Machinery Regulation. Privacy can be defined as someone's right to keep personal matters, including personal life, personal information, or relationships, to themselves. A social robot's appearance (=the combination of embodiment and motion) may contribute to how human users perceive them, including how these robots are perceived in relation to privacy. If these robots are part of certain services such as home- or healthcare, these may also have consequences on how these services are perceived. This study aims at showcasing the users' perception of privacy based on the perceived robot's appearance. Three social robots were chosen for this purpose: PLEO (with a zoomorphic appearance), Pepper (with a childlike anthropomorphic appearance), and TIAGo (with a mechanical and asymmetrical appearance). The data was collected through an in-lab observational video-based study from 50 participants with very limited- or no experience with robots. Our findings show that PLEO was perceived as preserving most of the users' privacy, while Pepper was perceived as more privacy-invasive than PLEO but less than TIAGo. TIAGo was perceived as hard to interpret in terms of privacy. Our findings also point out that designing robots with a cute appearance, such as PLEO, may contribute to participants trusting the robot more and thus being willing to share their data. The paper provides a list of characteristics that participants associated with a social robot as preserving or not their privacy. Further, the paper discusses the appearance of these social robots in terms of 'cuteness' as a dark pattern in the design of social robots that may lead to data myopia, but also the possible consequences this may have, for vulnerable users, while trying to design more inclusive robots.
UR - http://www.scopus.com/inward/record.url?scp=85197244916&partnerID=8YFLogxK
U2 - 10.1109/ARSO60199.2024.10557941
DO - 10.1109/ARSO60199.2024.10557941
M3 - Conference contribution
T3 - Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
SP - 74
EP - 79
BT - 2024 IEEE International Conference on Advanced Robotics and Its Social Impacts, ARSO 2024
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on Advanced Robotics and Its Social Impacts, ARSO 2024
Y2 - 20 May 2024 through 22 May 2024
ER -