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“Can I be more social with a chatbot?”: social connectedness through interactions of autistic adults with a conversational virtual human

Xygkou, Anna, Siriaraya, Panote, Wan-Jou, She, Covaci, Alexandra, Siang Ang, Chee (2024) “Can I be more social with a chatbot?”: social connectedness through interactions of autistic adults with a conversational virtual human. International Journal of Human-Computer Interaction, . pp. 1-18. ISSN 1044-7318. E-ISSN 1532-7590. (doi:10.1080/10447318.2023.2292880) (KAR id:104142)

Abstract

The development of AI to function as communicators (i.e. conversational agents), has opened the opportunity to rethink AI’s place within people’s social worlds, and the process of sense-making between humans and machines, especially for people with autism who may stand to benefit from such interactions. The current study aims to explore the interactions of six autistic and six non-autistic adults with a conversational virtual human (CVH/conversational agent/chatbot) over 1-4 weeks. Using semi-structured interviews, conversational chatlogs and post-study online questionnaires, we present findings related to human-chatbot interaction, chatbot humanization/dehumanization and chatbot’s autistic/non-autistic traits through thematic analysis. Findings suggest that although autistic users are willing to converse with the chatbot, there are no indications of relationship development with the chatbot. Our analysis also highlighted autistic users’ expectations of empathy from the chatbot. In the case of the non-autistic users, they tried to stretch the conversational agent’s abilities by continuously testing the AI conversational/cognitive skills. Moreover, non-autistic users were content with Kuki’s basic conversational skills, while on the contrary, autistic participants expected more in-depth conversations, as they trusted Kuki more. The findings offer insights to a new human-chatbot interaction model specifically for users with autism with a view to supporting them via companionship and social connectedness.

Item Type: Article
DOI/Identification number: 10.1080/10447318.2023.2292880
Uncontrolled keywords: autism; AI; speech; conversation
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Anna Xygkou
Date Deposited: 30 Nov 2023 17:48 UTC
Last Modified: 15 Jan 2024 12:12 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/104142 (The current URI for this page, for reference purposes)

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