Incorporating AI with a Multilingual Virtual Helper for Dementia Carers in Australia: A Case Study

Abstract

AI affords the opportunity to enable and support more personalized and supportive digital health solutions for various healthcare contexts. Despite the high prevalence of dementia in ethnically diverse populations and its burden on ethnically diverse family carers of people with dementia (hereafter, carers), research on the design and development of multilingual online resources that are culturally appropriate and usable for these target groups is limited. This study aims to co-design the DrawCare multilingual virtual helper for family carers from nine linguistic groups across Australia. Six co-design workshops were conducted with 21 carers online. Convenience and snowball sampling techniques were used for recruitment and data were thematically analyzed. Participants desired a virtual helper that has an aesthetic and user-friendly design and includes problem-framing prompts in language to help them navigate the website for supporting resources. This feedback was used to improve the virtual helper for user-testing and a randomized control trial to evaluate the effectiveness of DrawCare.

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