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XAI for learning: Narrowing down the digital divide between "new" and öld" experts.

, , , , and . NordiCHI (Adjunct), page 39:1-39:6. ACM, (2022)

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Experts in the Shadow of Algorithmic Systems: Exploring Intelligibility in a Decision-Making Context., , , and . Conference on Designing Interactive Systems (Companion Volume), page 263-268. ACM, (2020)The Metacognitive Demands and Opportunities of Generative AI., , , , , , and . CHI, page 680:1-680:24. ACM, (2024)Getting Back Together: HCI and Human Factors Joining Forces to Meet the AI Interaction Challenge., , , and . CHI Extended Abstracts, page 472:1-472:5. ACM, (2024)The Metacognitive Demands and Opportunities of Generative AI., , , , , , and . CoRR, (2023)XAI for learning: Narrowing down the digital divide between "new" and öld" experts., , , , and . NordiCHI (Adjunct), page 39:1-39:6. ACM, (2022)Explainability in Machine Learning: a Pedagogical Perspective., , , and . CoRR, (2022)Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions., , , , , and . CoRR, (2024)"It is there, and you need it, so why do you not use it?" Achieving better adoption of AI systems by domain experts, in the case study of natural science research., , , and . CoRR, (2024)Agency Aspirations: Understanding Users' Preferences And Perceptions Of Their Role In Personalised News Curation., , , , , , and . CHI, page 190:1-190:16. ACM, (2024)