An interdisciplinary approach to improving cognitive human-robot interaction: a novel emotion-based model

Eduard Fosch-Villaronga, Alex Barco, Beste Özcan, Jainendra Shukla

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

3 Citations (Scopus)

Abstract

Socially Assistive Robotics (SAR) aims to provide robot-assisted therapy, for physical as well as cognitive rehabilitation. The paper analyzes two distinct use cases of cognitive rehabilitation therapies, one among involving children with Traumatic Brain Injury (TBI); and another one; second among involving individuals with Intellectual Disability (ID), and raises concerns regarding emotional adaptation, personalization, design, and ELS issues of human-robot interaction in such cases. The paper's aim is to provide some guidance on how social robots should be designed in order to accommodate emotions in HRI as well as to respect the rights of the persons with disabilities. We argue that it is critically important to address the concerns highlighted in order to empower robots with empathetic behavior and to deliver effective cognitive rehabilitation therapies.
Original languageEnglish
Title of host publicationWhat Social Robots Can and Should Do
EditorsJohanna Seibt, Marco Norskov, Soren Schack Andersen
PublisherIOS Press
Pages195-205
ISBN (Print)978-1-61499-707-8
DOIs
Publication statusPublished - 17 Oct 2016
EventInternational Research Conference Robophilosophy 2016 / TRANSOR 2016: What Social Robots Can and Should Do - Aarhus, Denmark
Duration: 17 Oct 201621 Oct 2016

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
Volume290
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

ConferenceInternational Research Conference Robophilosophy 2016 / TRANSOR 2016
CountryDenmark
CityAarhus
Period17/10/1621/10/16

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Fosch-Villaronga, E., Barco, A., Özcan, B., & Shukla, J. (2016). An interdisciplinary approach to improving cognitive human-robot interaction: a novel emotion-based model. In J. Seibt, M. Norskov, & S. S. Andersen (Eds.), What Social Robots Can and Should Do (pp. 195-205). (Frontiers in Artificial Intelligence and Applications; Vol. 290). IOS Press. https://doi.org/10.3233/978-1-61499-708-5-195