Engaging Students with Profound and Multiple Disabilities Using Humanoid Robots

Standen, Penny, Brown, David, Roscoe, Jess , Hedgecock, Joseph, Stewart, David, Galvez Trigo, Maria Jose and Elgajiji, Elmunir (2014) Engaging Students with Profound and Multiple Disabilities Using Humanoid Robots. In: UAHCI 2014: Universal Access in Human-Computer Interaction. Universal Access to Information and Knowledge.

Full content URL: https://doi.org/10.1007/978-3-319-07440-5_39

Engaging students with profound and multiple disabilities using humanoid robots
Author's Accepted Manuscript

Request a copy
[img] PDF
Engaging_Students_with_Profound_and_Multiple_Disab.pdf - Whole Document
Restricted to Repository staff only

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


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.

Keywords:Robots, education, engagement, profound and multiple intellectual disabilities, case studies, video analysis
Subjects:G Mathematical and Computer Sciences > G440 Human-computer Interaction
G Mathematical and Computer Sciences > G400 Computer Science
H Engineering > H671 Robotics
Divisions:College of Science > School of Computer Science
Related URLs:
ID Code:48359
Deposited On:11 Apr 2022 09:22

Repository Staff Only: item control page