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AI Explainability, Trust, and Calibration / Explanation Form Design and Comprehension Effects

Current mental health recommendations lack practical feasibility for individual contexts.

lightbulbPractical problemExplanation Form Design and Comprehension Effects

Current mental health recommendations lack practical feasibility for individual contexts.

UbiComp '24Counterfactual Explanations in Personal Informatics for Personalized Mental Health Management

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Users misjudge symptoms due to health information on social media, leading to incorrect self-diagnosis.

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Users distrust or misunderstand explanations of autonomous driving system behavior.

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Users feel anxious about health information from search engines, especially when misinformation triggers panic.

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Users struggle to obtain context-relevant, personalized stress management advice.

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Data annotation is time-consuming, and existing tools struggle to align with users' cognitive approaches and annotation intent.

UIST '24MOCHA: Model Optimization through Collaborative Human-AI Alignment

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