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Tell Me What You Like and I Tell You What You Aim For: A Well-Being Centered Group Recommender System Using A Hybrid Approach

In: People, Society, and Ethical Challenges of Information Systems

Author

Listed:
  • Julian Marvin Joers

    (Otto-Von-Guericke University)

  • Ernesto William De Luca

    (Otto-Von-Guericke University)

Abstract

In human-computer interaction (HCI) research, ensuring human well-being is seen as a key challenge. The consideration of well-being orientations, e.g. hedonia (aiming for pleasure, comfort, and relaxation) and eudaimonia (striving for authenticity, meaningfulness, excellence, and growth) is still at an early stage with regard to identification, measurement, and differentiability concerning expectations of technology. Particularly in the architectural design of recommender systems (RS), work is yet in the fledgling stage on how well-being can be considered in the development of RS. In this research in progress, we aim to present initial findings based on our labeled dataset (using the HEMA-Revised (HEMA-R) Scale (hedonia and eudaimonia)) of 2,946 items (movies, songs, and books) with the help of 229 participants. With a first architectural design on how the idea of well-being-centered RS can be implemented, we expand the research on group RS by introducing well-being-centered group RS.

Suggested Citation

  • Julian Marvin Joers & Ernesto William De Luca, 2026. "Tell Me What You Like and I Tell You What You Aim For: A Well-Being Centered Group Recommender System Using A Hybrid Approach," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), People, Society, and Ethical Challenges of Information Systems, pages 219-228, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08486-6_15
    DOI: 10.1007/978-3-032-08486-6_15
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