Use of Chatbots to Support the Inclusion of People With Autism Spectrum Disorder

Use of Chatbots to Support the Inclusion of People With Autism Spectrum Disorder

DOI: 10.4018/979-8-3693-2440-0.ch024
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Abstract

It is known that individuals with autism spectrum disorder enjoy interacting with technological tools and enjoying being engaged with them. Because these interactions happen in a trustworthy and safe environment for them. Therefore, this chapter presents how chatbots can help children with autism spectrum disorder, and reviews the advantages and disadvantages of chatbots. In addition, the challenges that limit the use of chatbots and various ethical problems raised by the use of chatbots are reviewed. Finally, future research directions in this domain are presented.
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Introduction

Pervasive developmental disorders (PDD) refer to a group of disorders characterised by delays in the development of socialisation and communication skills. PDD include Autism, Asperger Syndrome,

Childhood Disintegrative Disorder, Rett Syndrome, and PDD Not Otherwise Specified. In the past, diagnosis of PDD was not consistent across clinics. Because the disorders included in PDD term had very similar signs and symptoms. Therefore, Autism Spectrum Disorder (ASD) has been started to use since it encompasses all the disorders included in PDD but relies on a spectrum that differentiates based on the severity of social communication deficits and restrictive and repetitive behaviours/interests/activities.

Stress and confusion is common in parents of children with atypical development. While before the diagnosis the parents may have lots of questions regarding symptoms and screening, after the diagnosis they possibly have questions regarding treatment options. They can easily be frustrated by the news they get and may have lots of questions regarding causes and the child’s future. Children with ASD have unique characteristics, including difficulties in social interactions and communication with others. In addition, they have limited or repetitive behaviours, activities and interests (Magnuson & Constantino, 2011). Due to these particular characteristics, the management of ASD is a challenging task requiring the use of novel therapeutic approaches suitable for this disorder (Magnuson & Constantino, 2011).

Children with ASD need particular attention; therefore, their parents needed particular training. In this regard, information technology-based tools and machine learning techniques can assist in bridging the gap between the child, the parent, and the physician (Apparao Polireddi & Kavitha, 2023). One of these approaches is chatbots. The first chatbot was Eliza, a therapy bot (Hoover & Spengler, 2023). It was designed in the 1960s at the MIT Artificial Intelligence Laboratory and was modelled on Rogerian therapy, in which a counsellor restates what a client tells them, often in the form of a question (Weizenbaum, 1966; Hoover & Spengler, 2023). Instead of employing arficial intelligence the program relied on repetition and pattern matching. Scripted responses of Eliza gave its users the impression that they were talking to something that understood them (Hoover & Spengler, 2023). Therefore, the users engaged in intense and extensive conversations with the program.

In recent years chatbots with artificial intelligence-driven, scripted responses have been available. Woebot (Fitzpatrick, Darcy, & Vierhile, 2017; Mijwil et al., 2023) is one of those chatbots. It was designed to play the role of an actual therapist and based on cognitive behavioural therapy practices (Rathnayaka et al., 2022). Chatbots were highly demanded throughout the pandemic as more people than ever sought out mental health services. In addition to individuals looking for medical advice, chatbots are used by children who seek help with homework and by people who need everyday companionship. But those chatbots only deliver scripted responses and are generally narrower in scope, ChatGPT’s richer conversation can be more effective for individuals that try to work out complex social issues (Hoover & Spengler, 2023).

Robots and artificial intelligence can understand emotions and/or feelings and help users feel more comfortable while communicating their true feelings (Chaturvedi et al., 2023). Because the users realise that they will not be judged (Apparao Polireddi & Kavitha, 2023; Boison et al., 2022). In this context, this chapter both reviews chatbots designed to help children with ASD and delves into design issues and approaches used in these chatbots. In addition, as chatbots may cause various ethical problems, such as misunderstanding users’ questions, causing emotional harm and being offensive, and failing to provide the benefits and deliver the service promised (Coghlan et al., 2023; Al-Shahwani et al., 2024), in this chapter ethical issues related to their use are also reviewed.

Key Terms in this Chapter

Artificial Intelligence: Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.

ChatBot: A chatbot is a software application or web interface that is designed to mimic human conversation through text or voice interactions.

Autism Spectrum Disorder: A developmental disability that affects how people behave, see and understand the world and interact with others. People with this developmental disability may have special interests, repetitive behaviours and under or overreact to sensory input.

ChatGPT: Based on a large language model, it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language.

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