04502nam a22006135i 4500 978-3-031-55109-3 DE-He213 20251030113310.0 cr nn 008mamaa 240430s2024 sz | s |||| 0|eng d 9783031551093 978-3-031-55109-3 10.1007/978-3-031-55109-3 doi QA76.9.U83 QA76.9.H85 UYZ bicssc COM079010 bisacsh UYZ thema A Human-Centered Perspective of Intelligent Personalized Environments and Systems [electronic resource] / edited by Bruce Ferwerda, Mark Graus, Panagiotis Germanakos, Marko Tkalčič. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XVI, 292 p. 33 illus., 27 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Human–Computer Interaction Series, 2524-4477 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. This book investigates the potential of combining the more quantitative - data-driven techniques with the more qualitative - theory-driven approaches towards the design of user-centred intelligent systems. It seeks to explore the potential of incorporating factors grounded in psychological theory into adaptive/intelligent routines, mechanisms, technologies and innovations. It highlights models, methods and tools that are emerging from their convergence along with challenges and lessons learned. Special emphasis is placed on promoting original insights and paradigms with respect to latest technologies, current research trends, and innovation directions, e.g., incorporating variables derived from psychological theory and individual differences in adaptive intelligent systems so as to increase explainability, fairness, and transparency, and decrease bias during interactions while the control remains with the user. User interfaces (Computer systems). 64688 Human-computer interaction. 64854 Cognitive psychology. Artificial intelligence. 58441 User Interfaces and Human Computer Interaction. 66577 Cognitive Psychology. Intelligence Infrastructure. Ferwerda, Bruce. editor. edt http://id.loc.gov/vocabulary/relators/edt 87438 Graus, Mark. editor. edt http://id.loc.gov/vocabulary/relators/edt 87439 Germanakos, Panagiotis. editor. edt http://id.loc.gov/vocabulary/relators/edt 87440 Tkalčič, Marko. editor. edt http://id.loc.gov/vocabulary/relators/edt 67605 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031551086 Printed edition: 9783031551109 Printed edition: 9783031551116 Human–Computer Interaction Series, 2524-4477 75471 https://doi.org/10.1007/978-3-031-55109-3 ZDB-2-SCS ZDB-2-SXCS 64924 64924