Research Topic: Research on Negative Bias Modification among Greater Bay Area youth: Design and Applications
Depression and anxiety are crucial public health issues, and the identification of effective intervention is globally imperative. While the efficacy of interpretation bias modification (CBM-I) in preventing and reducing depression has been indicated, the evidence of the effects is debatable. It is particularly unclear from the aspects of its long term effects and conducting CBM-I over the internet. With the increasing awareness of the challenged of existing CBM-Is such as insufficient incentives, and dysfunction within depressed individuals to engage in the training materials and the workload to tailor them. My study aims to develop and test a variant of CBM-I with AI Robot and enable it as a long-term support for the depressed youth. My study is the first to incorporate robot aids in interpretation bias modification. The AI-enhanced implementation during intervention and material preparation would provide insights into the AI-assisted mental therapy. In addition, given little research on CBM-I for the Chinese, especially under multi-session interventions, our study targeted at Chinese people can provide promising adaptability in the social context of China.
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