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

Can comparative analysis features help lay users better understand multiple counterfactual examples?

helpResearch questionExplanation Form Design and Comprehension Effects

IUI '23Investigating the Intelligibility of Plural Counterfactual Examples for Non-Expert Users: an Explanation User Interface Proposition and User Study

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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?

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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?

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Can comparative analysis features help lay users better understand multiple counterfactual examples?

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