People-Centered Development of a Smart Learning Ecosystem of Adaptive Robots

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Robots are currently moving out of the laboratory and company floor into more human and social contexts including care, rehabilitation and education. While those robots are usually envisioned as a kind of social interaction partner, we suggest a different approach, where robots become adaptive tools for facilitating social interaction and learning in special needs education. The paper presents a people-centered design and development process of such a system that is rooted in the close collaboration between the developers and a network of users and caregivers.
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Robots are currently moving out of the laboratory and company floor into more human and social contexts including care, rehabilitation and education. While those robots are usually envisioned as a kind of social interaction partner, we suggest a different approach, where robots become adaptive tools for facilitating social interaction and learning in special needs education. The paper presents a people-centered design and development process of such a system that is rooted in the close collaboration between the developers and a network of users and caregivers.
Original languageEnglish
Title of host publicationThe Interplay of Data, Technology, Place and People for Smart Learning
Number of pages14
PublisherSpringer
Publication date2019
Pages85-98
Publication statusPublished - 2019
Publication categoryResearch
Peer-reviewedYes
Event3rd International Conference on Smart Learning Ecosystems and Regional Development: The interplay of data, technology, place and people - Aalborg University, Aalborg, Denmark
Duration: 23 May 201825 May 2018
http://slerd.org/2018

Conference

Conference3rd International Conference on Smart Learning Ecosystems and Regional Development
LocationAalborg University
LandDenmark
ByAalborg
Periode23/05/201825/05/2018
Internetadresse

    Research areas

  • Adaptive Robots, Smart Learning Ecosystem, Brain injury

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