Introduces the BAH dataset with 1,427 annotated videos for multimodal recognition of ambivalence/hesitancy in digital behavior change contexts.
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Standard deep multimodal models and LLM zero-shot inference achieve only limited performance on video ambivalence/hesitancy recognition for digital health personalization.
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BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change
Introduces the BAH dataset with 1,427 annotated videos for multimodal recognition of ambivalence/hesitancy in digital behavior change contexts.
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Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions
Standard deep multimodal models and LLM zero-shot inference achieve only limited performance on video ambivalence/hesitancy recognition for digital health personalization.