About this Research Topic
Most physical illnesses can be rehabilitated within a reasonably short period of time. In contrast, ASD has no known cure and can only be managed. As such, ASD intervention is inevitably long term. Ideally, a digital health intervention for autism should have minimum involvement from the clinician once the initial training with the intervention is completed. This would place significant requirements on the design and implementation of the digital technology as well as the intervention itself. The digital mental health intervention technology must be usable and effective for long-term use. How to achieve this goal is still an open research issue.
This research topic welcomes all forms of research (original research, systematic review, case report, etc.) that would help lead to the development of usable and effective digital health intervention technology for long-term autism care and intervention use with minimum involvement of trained clinicians. Topics of interest include, but are not limited to:
* User-centered design in digital health technology for autism care and intervention
* User engagement mechanisms such as gamification and virtual reality
* Personalization mechanisms
* Learning community and peer support technology for autism care
* Self-adaptive intervention with machine learning for autism
* Self-support with chatbot and chatGPT for autism
* Validation study on the usability and efficacy of digital health intervention technologies for autism care and intervention
* Systematic review and meta-analysis of digital health for autism care and intervention
Keywords: Digital Health, Autism, Mobile App, Smartphone, Sensors, Machine Learning, User-Centered Design, ChatGPT
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.