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Titlebook: Artificial Intelligence in HCI; 3rd International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2022 The Editor(s) (if applicable)

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Karen L. Bierman,Susan M. Sheridanlity of CNN (a modified GoogLeNet architecture) and ANN models to predict visual perception per Aesthetics, Complexity, and Orderliness scales for about 2700 web UIs assessed by 137 users. Our results suggest that the ANN architecture produces smaller Mean Squared Error (MSE) for the training datase
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Promoting Human Competences by Appropriate Modes of Interaction for Human-Centered-AIthe context of machine learning that synergistically combine the complementary strengths of humans and AI and seek to develop competencies and capabilities of both parts. The development of human competencies is a largely neglected aspect compared to criteria such as fairness, trust, or accountabili
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Artificial Intelligence Augmenting Human Teams. A Systematic Literature Review on the Opportunities larly knowledge of the topic itself is missing. Thus, this paper provides a systematic review of the current knowledge on AI in augmenting human teams. The systematic literature review shows that AI working as teammate could augment human teams in important ways in enhancing team coordination, enhan
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Adoption and Perception of Artificial Intelligence Technologies by Children and Teens in Educationinterested in AI in education for children and teens. This systematic review summarizes the state of the literature by exploring how AI technologies have been adopted and perceived by children and teens in education. Based on the PRISMA review framework [.], we performed three rounds of systematic s
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