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An Evaluation Tool of the Effect of Robots in Eldercare on the Sense of Safety and Security
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0001-6168-0706
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-0305-3728
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-4368-4751
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-3122-693X
2017 (English)In: Social Robotics: 9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017, Proceedings / [ed] Kheddar, A.; Yoshida, E.; Ge, S.S.; Suzuki, K.; Cabibihan, J-J:, Eyssel, F:, He, H., Springer International Publishing , 2017, p. 628-637Conference paper, Published paper (Refereed)
Abstract [en]

The aim of the study presented in this paper is to develop a quantitative evaluation tool of the sense of safety and security for robots in eldercare. By investigating the literature on measurement of safety and security in human-robot interaction, we propose new evaluation tools. These tools are semantic differential scale questionnaires. In experimental validation, we used the Pepper robot, programmed in the way to exhibit social behaviors, and constructed four experimental conditions varying the degree of the robot’s non-verbal behaviors from no gestures at all to full head and hand movements. The experimental results suggest that both questionnaires (for the sense of safety and the sense of security) have good internal consistency.

Place, publisher, year, edition, pages
Springer International Publishing , 2017. p. 628-637
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 10652
Keywords [en]
Sense of safety, Sense of security, Eldercare, Video-based evaluation, Quantitative evaluation tool
National Category
Computer Systems Computer Vision and Robotics (Autonomous Systems)
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-62768DOI: 10.1007/978-3-319-70022-9_62ISI: 000449941100062Scopus ID: 2-s2.0-85035814295ISBN: 978-3-319-70022-9 (electronic)ISBN: 978-3-319-70021-2 (print)OAI: oai:DiVA.org:oru-62768DiVA, id: diva2:1159281
Conference
9th International Conference on Social Robotics (ICSR 2017), Tsukuba, Japan, November 22-24, 2017
Projects
SOCRATES
Funder
EU, Horizon 2020, 721619Available from: 2017-11-22 Created: 2017-11-22 Last updated: 2024-01-16Bibliographically approved
In thesis
1. Perceived Safety in Social Human-Robot Interaction
Open this publication in new window or tab >>Perceived Safety in Social Human-Robot Interaction
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This compilation thesis contributes to a deeper understanding of perceived safety in human-robot interaction (HRI) with a particular focus on social robots. The current understanding of safety in HRI is mostly limited to physical safety, whereas perceived safety has often been neglected and underestimated. However, safe HRI requires a conceptualization of safety that goes beyond physical safety covering also perceived safety of the users. Within this context, this thesis provides a comprehensive analysis of perceived safety in HRI with social robots, considering a diverse set of human-related and robot-related factors.

Two particular challenges for providing perceived safety in HRI are 1) understanding and evaluating human safety perception through direct and indirect measures, and 2) utilizing the measured level of perceived safety for adapting the robot behaviors. The primary contribution of this dissertation is in addressing the first challenge. The thesis investigates perceived safety in HRI by alternating between conducting user studies, literature review, and testing the findings from the literature within user studies.

In this thesis, six main factors influencing perceived safety in HRI are lifted: the context of robot use, the user’s comfort, experience and familiarity with robots, trust, sense of control over the interaction, and transparent and predictable robot behaviors. These factors could provide a common understanding of perceived safety and bridge the theoretical gap in the literature. Moreover, this thesis proposes an experimental paradigm to observe and quantify perceived safety using objective and subjective measures. This contributes to bridging the methodological gap in the literature.

The six factors are reviewed in HRI literature, and the robot features that affect these factors are organized in a taxonomy. Although this taxonomy focuses on social robots, the identified characteristics are relevant to other types of robots and autonomous systems. In addition to the taxonomy, the thesis provides a set of guidelines for providing perceived safety in social HRI. As a secondary contribution, the thesis presents an overview of reinforcement learning applications in social robotics as a suitable learning mechanism for adapting the robots’ behaviors to mitigate psychological harm.

Place, publisher, year, edition, pages
Örebro: Örebro University, 2022. p. 77
Series
Örebro Studies in Technology, ISSN 1650-8580 ; 94
National Category
Computer Sciences
Identifiers
urn:nbn:se:oru:diva-98102 (URN)9789175294322 (ISBN)
Public defence
2022-04-28, Örebro universitet, Långhuset, Hörsal L2, Fakultetsgatan 1, Örebro, 13:15 (English)
Opponent
Supervisors
Available from: 2022-03-17 Created: 2022-03-17 Last updated: 2022-05-04Bibliographically approved

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Akalin, NezihaKiselev, AndreyKristoffersson, AnnicaLoutfi, Amy

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