A Long-Term Engagement with a Social Robot for Autism Therapy

Author:

Rakhymbayeva Nazerke,Amirova Aida,Sandygulova Anara

Abstract

Social robots are increasingly being used as a mediator between a therapist and a child in autism therapy studies. In this context, most behavioural interventions are typically short-term in nature. This paper describes a long-term study that was conducted with 11 children diagnosed with either Autism Spectrum Disorder (ASD) or ASD in co-occurrence with Attention Deficit Hyperactivity Disorder (ADHD). It uses a quantitative analysis based on behavioural measures, including engagement, valence, and eye gaze duration. Each child interacted with a robot on several occasions in which each therapy session was customized to a child’s reaction to robot behaviours. This paper presents a set of robot behaviours that were implemented with the goal to offer a variety of activities to be suitable for diverse forms of autism. Therefore, each child experienced an individualized robot-assisted therapy that was tailored according to the therapist’s knowledge and judgement. The statistical analyses showed that the proposed therapy managed to sustain children’s engagement. In addition, sessions containing familiar activities kept children more engaged compared to those sessions containing unfamiliar activities. The results of the interviews with parents and therapists are discussed in terms of therapy recommendations. The paper concludes with some reflections on the current study as well as suggestions for future studies.

Funder

Nazarbayev University

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Computer Science Applications

Reference44 articles.

1. Look like Me: Matching Robot Personality via Gaze to Increase Motivation;Andrist,2015

2. Quantifying Patterns of Joint Attention during Human-Robot Interactions: An Application for Autism Spectrum Disorder Assessment;Anzalone;Pattern Recognition Lett.,2019

3. Chap. Human-Robot Interaction: Evaluation Methods and Their Standardization;Baraka,2020

4. Long-term Human-Robot Interaction with Young Users;Baxter,2011

5. From Characterising Three Years of Hri to Methodology and Reporting recommendations;Baxter,2016

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