A Human-Centered Perspective of Intelligent Personalized Environments and Systems, Kartoniert / Broschiert

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Part I: Theory: Individual differences for intelligent personalized environments.- Human factors in user modeling for intelligent systems.- The role of human-centred ai in user modeling, adaptation, and personalization - Models, frameworks, and paradigms.- Fairness and explainability for enabling trust in AI systems.- Part II: Method: User models driven from human factors, inferred from data.- Transparent music preference modeling and recommendation with a model of human memory theory.- Personalization and individual differences in business data analytics.- Inferring Eudaimonia and Hedonia from digital traces.- Computational methods to infer human factors for adaptation and personalization using eye tracking.- Part III: Practice: The human factors in the center of applications and domains.- Coarse-grained detection for personalized online learning interventions.- Psychologically-informed design of energy recommender systems: Are nudges still effective in tailored choice environments?- Personalized persuasive technologies in health and wellness: From theory to practice.