AllyChat: Developing a VR Conversational AI Agent Using Few-Shot Learning to Support Individuals with Intellectual Disabilities

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Abstract

Virtual Reality (VR) environments have been used for training, education, and entertainment due to the interactive and embodied experiences the technology provides. Studies have shown that VR can be used to help support individuals with intellectual disabilities in various aspects of their lives. Likewise, conversational agents such as chatbots can be used to bolster competence training and well-being management for this user population. This paper addresses the need for inclusive job interview practice for individuals with intellectual disabilities by discussing the development of a VR application, AllyChat. A two-part development phase is presented with pilot testing included for each phase. First, a conversational AI chatbot is tested and with positive feedback iterated upon to develop an immersive mock job interview experience in VR. A second pilot study is conducted with university students to test the functionality of a high-fidelity prototype. Future work will include improvement upon the developed VR application and further testing.

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Garcia-Pi, B., Chaudhury, R., Versaw, M., Back, J., Kwon, D., Kicklighter, C., … Seo, J. H. (2023). AllyChat: Developing a VR Conversational AI Agent Using Few-Shot Learning to Support Individuals with Intellectual Disabilities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14145 LNCS, pp. 402–407). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-42293-5_43

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