Engaging students with profound and multiple disabilities using humanoid robots

Standen, Penny and Brown, David and Roscoe, Jess and Hedgecock, Joseph and Stewart, David and Galvez Trigo, Maria Jose and Elgajiji, Elmunir (2014) Engaging students with profound and multiple disabilities using humanoid robots. Lecture Notes in Computer Science, 8514 . pp. 419-430. ISSN 0302-9743

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Abstract

Engagement is the single best predictor of successful learning for children with intellectual disabilities yet achieving engagement with pupils who have profound or multiple disabilities (PMD) presents a challenge to educators. Robots have been used to engage children with autism but are they effective with pupils whose disabilities limit their ability to control other technology? Learning objectives were identified for eleven pupils with PMD and a humanoid robot was programmed to enable teachers to use it to help pupils achieve these objectives. These changes were evaluated with a series of eleven case studies where teacher-pupil dyads were observed during four planned video recorded sessions. Engagement was rated in a classroom setting and during the last session with the robot. Video recordings were analysed for duration of engagement and teacher assistance and number of goals achieved. Rated engagement was significantly higher with the robot than in the classroom. Observations of engagement, assistance and goal achievement remained at the same level throughout the sessions suggesting no reduction in the novelty factor.

Item Type: Article
Additional Information: The final publication is available at link.springer.com. Standen P. et al. (2014) Engaging Students with Profound and Multiple Disabilities Using Humanoid Robots. In: Stephanidis C., Antona M. (eds) Universal Access in Human-Computer Interaction. Universal Access to Information and Knowledge. UAHCI 2014. Lecture Notes in Computer Science, vol 8514. Springer, Cham.
Keywords: Robots, education, engagement, profound and multiple intellectual disabilities, case studies, video analysis
Schools/Departments: University of Nottingham, UK > Faculty of Medicine and Health Sciences
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Rehabilitation and Ageing
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine
Identification Number: 10.1007/978-3-319-07440-5_39
Related URLs:
Depositing User: Dziunka, Patricia
Date Deposited: 21 Mar 2017 14:44
Last Modified: 21 Mar 2017 14:50
URI: http://eprints.nottingham.ac.uk/id/eprint/41284

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