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

Are multiple counterfactual examples easier for lay users to understand than single 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?

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

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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?

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

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Are multiple counterfactual examples easier for lay users to understand than single examples?

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