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2024 | OriginalPaper | Buchkapitel

Inferring Eudaimonia and Hedonia from Digital Traces

verfasst von : Marko Tkalčič, Elham Motamedi

Erschienen in: A Human-Centered Perspective of Intelligent Personalized Environments and Systems

Verlag: Springer Nature Switzerland

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Abstract

In this chapter we survey methods for inferring two types of characteristics for personalized systems: eudaimonia and hedonia (E and H). The rationale for focusing on these two characteristics is the potential to make good recommendations and the even bigger potential for creating good explanations. We first conceptualize the concepts of E and H for the purposes of personalized systems by disentangling the user preferences from the item characteristics. We proceed on surveying methods for inferring EH user characteristics from digital user traces. We follow with an overview of methods for inferring EH item characteristics from item content. Finally we provide an outlook into the future work.

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Vorheriges Kapitel Personalization and Individual Differences in Business Data Analytics

Nächstes Kapitel Computational Methods to Infer Human Factors for Adaptation and Personalization Using Eye Tracking

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Titel: Inferring Eudaimonia and Hedonia from Digital Traces
verfasst von: Marko Tkalčič
Elham Motamedi
Verlag: Springer Nature Switzerland
Buch: A Human-Centered Perspective of Intelligent Personalized Environments and Systems
Print ISBN: 978-3-031-55108-6

Electronic ISBN: 978-3-031-55109-3

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-55109-3_6

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