1. Psychological aspects in retrieval and recommendationMarkus Schedl, Elisabeth Lex, Marko Tkalčič, 2025, published scientific conference contribution abstract Abstract: Psychological processes play a critical role in shaping users’ inter- actions with information retrieval (IR) and recommender systems (RS). Therefore, understanding human cognition, decision-making, and emotions is vital to enable user-centric retrieval and recommendation systems. Vice versa, understanding whether these aspects are also present in the systems themselves (e.g., in training data, ranking models, or outputs), or even injecting them on purpose, can inform the development of psychology-inspired systems. The purpose of this tutorial is to provide its attendees with an introduction to psychological concepts that are important in the ecosystem of search, retrieval, and recommendation, in particular, cognitive architectures, cognitive effects and biases, as well as personality and affect. Leveraging corresponding models allows its audience to build or refine psychology-informed IR and RS technology. The interdisciplinary tutorial requires intermediate expertise in terms of IR and RS, while we do not assume knowledge in psychology.
Keywords: recommender systems, emotions, personality
Published in RUP: 08.04.2026; Views: 80; Downloads: 7
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3. In the constellation of dark personality traits : a scoping review of the dark personality coreNik Čavlovič, Vesna Posavčević, 2025, review article Abstract: Since the emergence of the Dark Triad/Dark Tetrad personality constructs, a growing body of literature has suggested a common core underlying socially aversive behaviors. With a multitude of diverse explanations on the horizon, the literature has become ambiguous and vague within the context of the dark personality framework, warranting further clarity. A scoping literature review was conducted by electronically searching five databases, yielding 12 articles included in the investigation. The results support the notion that the field of dark personality traits can progress from factorial trait labels toward a perspective where aversive traits are seen as emergent from interactions between individual components. These traits manifest as the most prominent candidate for the dark core, the Dark Factor of Personality (D), which encompasses the general tendency of malevolent characters in normal populations. The most notable measures in this context are the HEXACO model, with an emphasis on the Honesty-Humility dimension, and the D70, a set of items providing the most comprehensive representation of D. It is concluded that manifested socially aversive behaviors, accompanied by beliefs that serve as justifications, parallel two main components: the Antagonism component (promoting disutility for others) and the Emotional component (deficits in affective empathy).
Keywords: dark personality core, dark factor of personality, dark triad, dark tetrad, HEXACO honesty-humility
Published in RUP: 25.09.2025; Views: 619; Downloads: 10
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9. The Breast Size Satisfaction Survey (BSSS) : breast size dissatisfaction and its antecedents and outcomes in women from 40 nationsViren Swami, Ulrich S. Tran, David Barron, Reza Afhami, Annie Aimé, Carlos A. Almenara, Nursel Alp Dal, Ana Carolina Soares Amaral, Sonny Andrianto, Vita Poštuvan, 2020, original scientific article Keywords: breast size, breast ideals, breast awareness, personality, psychological well-being
Published in RUP: 11.02.2020; Views: 46212; Downloads: 144
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10. Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming servicesBruce Ferwerda, Emily Yang, Markus Schedl, Marko Tkalčič, 2019, original scientific article Keywords: personality, taxonomy, music, categorization, overchoice, choice overload, music sophistication
Published in RUP: 11.02.2020; Views: 4897; Downloads: 86
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