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From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence.

, , , , and . HCOMP, page 35-47. AAAI Press, (2021)

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A Human-Centered Interpretability Framework Based on Weight of Evidence., , , , and . CoRR, (2021)Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory., , , and . FAccT, page 702-714. ACM, (2022)Plexiglass: Multiplexing Passive and Active Tasks for More Efficient Crowdsourcing., , and . HCOMP, page 145-153. AAAI Press, (2018)Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning., , , , , and . DaSH@KDD, (2021)Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work., , , , , and . CHI, page 1-15. ACM, (2020)"I Didn't Know I Looked Angry": Characterizing Observed Emotion and Reported Affect at Work., , , , and . CHI, page 199:1-199:18. ACM, (2022)Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning., , , , , and . CHI, page 1-14. ACM, (2020)Towards More Robust Speech Interactions for Deaf and Hard of Hearing Users., , , , and . ASSETS, page 57-67. ACM, (2018)Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos., , , , and . Frontiers Artif. Intell., (2021)Oh The Places You'll Share: An Affordances-Based Model of Social Media Posting Behaviors., , , , , , and . CHI Extended Abstracts, ACM, (2018)