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

Can improved counterfactual explanations (e.g., avoiding unreasonable recommendations) enhance user trust and adoption in real medical contexts?

helpResearch questionExplanation Form Design and Comprehension Effects

IUI '23Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations

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How can reliable emotion analysis model explanations be generated under noisy conditions?

IUI '25Robust Relatable Explanations of Machine Learning with Disentangled Cue-specific Saliency

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Can decomposing speech features (e.g., loudness, pitch, speech rate) improve intuitiveness and credibility of model explanations?

IUI '25Robust Relatable Explanations of Machine Learning with Disentangled Cue-specific Saliency

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How can intuitive user-usable explanations be generated by comparing multiple emotional features?

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How does health-related information on social media trigger users' availability bias and affect self-diagnosis?

CHI '25Mining Evidence about Your Symptoms: Mitigating Availability Bias in Online Self-Diagnosis

helpResearch questionExplanation Form Design and Comprehension Effects

Which chatbot-based symptom checker (CSC) most effectively mitigates availability bias triggered by social media?

CHI '25Mining Evidence about Your Symptoms: Mitigating Availability Bias in Online Self-Diagnosis

helpResearch questionExplanation Form Design and Comprehension Effects

How do different cognitive intervention strategies (e.g., counterfactual thinking and evidence reflection) affect users' self-diagnosis accuracy?

CHI '25Mining Evidence about Your Symptoms: Mitigating Availability Bias in Online Self-Diagnosis

Can improved counterfactual explanations (e.g., avoiding unreasonable recommendations) enhance user trust and adoption in real medical contexts?

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