kth.sePublications
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
Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics. Digital Futures.ORCID iD: 0000-0003-2282-9939
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0001-7091-0104
Jagiellonian University, Institute of Philosophy, Cognitive Science Department Krakow, Poland.
2023 (English)In: HAI 2023 - Proceedings of the 11th Conference on Human-Agent Interaction, Association for Computing Machinery (ACM) , 2023, p. 142-151Conference paper, Published paper (Refereed)
Abstract [en]

We present here some lessons learned from observations and applications of child-robot interaction research in diverse ecosystems such as schools, therapy centers, and hospitals, where the interaction was facilitated in real-world circumstances rather than lab settings. Specifically, we use observational results from our reflections on multiple child-robot interaction practices in the wild conducted over a 9-year research period. Using these exploratory studies, we outline some general design considerations and adaptation guidelines for improving the design and implementation of robotic systems in healthcare and education that might lead to more practical, feasible, and ethically sustainable results.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2023. p. 142-151
Keywords [en]
adaptive systems, gamification, observational studies, special education
National Category
Robotics and automation
Identifiers
URN: urn:nbn:se:kth:diva-341676DOI: 10.1145/3623809.3623855ISI: 001148034200019Scopus ID: 2-s2.0-85180126404OAI: oai:DiVA.org:kth-341676DiVA, id: diva2:1823024
Conference
11th Conference on Human-Agent Interaction, HAI 2023, Gothenburg, Sweden, Dec 4 2023 - Dec 11 2023
Note

Part of ISBN 9798400708244

QC 20231229

Available from: 2023-12-29 Created: 2023-12-29 Last updated: 2025-02-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Güneysu Özgür, ArzuYadollahi, Elmira

Search in DiVA

By author/editor
Güneysu Özgür, ArzuYadollahi, Elmira
By organisation
Robotics, Perception and Learning, RPLHealth Informatics and Logistics
Robotics and automation

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 52 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