To Örebro University

oru.seÖrebro University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Evaluating the Sense of Safety and Security in Human - Robot Interaction with Older People
Örebro University, School of Science and Technology.ORCID iD: 0000-0001-6168-0706
School of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden.
Örebro University, School of Science and Technology.ORCID iD: 0000-0002-3122-693X
2019 (English)In: Social Robots: Technological, Societal and Ethical Aspects of Human-Robot Interaction / [ed] Oliver Korn, Springer, 2019, p. 237-264Chapter in book (Refereed)
Abstract [en]

For many applications where interaction between robots and older people takes place, safety and security are key dimensions to consider. ‘Safety’ refers to a perceived threat of physical harm, whereas ‘security’ is a broad term which refers to many aspects related to health, well-being, and aging. This chapter presents a quantitative evaluation tool of the sense of safety and security for robots in elder care. By investigating the literature on measurement of safety and security in human–robot interaction, we propose new evaluation tools specially tailored to assess interaction between robots and older people.

Place, publisher, year, edition, pages
Springer, 2019. p. 237-264
Series
Human-Computer Interaction Series, ISSN 1571-5035, E-ISSN 2524-4477
Keywords [en]
Sense of safety and security, Quantitative evaluation tool, Social robots, Elder care
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:oru:diva-78493DOI: 10.1007/978-3-030-17107-0_12ISBN: 978-3-030-17106-3 (print)ISBN: 978-3-030-17107-0 (electronic)OAI: oai:DiVA.org:oru-78493DiVA, id: diva2:1376113
Available from: 2019-12-08 Created: 2019-12-08 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

Open Access in DiVA

Evaluating the Sense of Safety and Security in Human - Robot Interaction with Older People(3396 kB)632 downloads
File information
File name FULLTEXT03.pdfFile size 3396 kBChecksum SHA-512
4bf56f387d8b334d2a915e35ae2a1fcf4e81b2cb58b02747bc98e8291846d0d7b21e9630084250466ee9ec7578a748368ecc5fc4e13bc17ce5ce2e9a572b47cb
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records

Akalin, NezihaLoutfi, Amy

Search in DiVA

By author/editor
Akalin, NezihaLoutfi, Amy
By organisation
School of Science and Technology
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 632 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 475 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf