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1.
Psychological aspects in retrieval and recommendation
Markus Schedl, Elisabeth Lex, Marko Tkalčič, 2025, objavljeni povzetek znanstvenega prispevka na konferenci

Opis: 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.
Ključne besede: recommender systems, emotions, personality
Objavljeno v RUP: 08.04.2026; Ogledov: 244; Prenosov: 9
.pdf Celotno besedilo (954,00 KB)
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In the constellation of dark personality traits : a scoping review of the dark personality core
Nik Čavlovič, Vesna Posavčević, 2025, pregledni znanstveni članek

Opis: 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).
Ključne besede: dark personality core, dark factor of personality, dark triad, dark tetrad, HEXACO honesty-humility
Objavljeno v RUP: 25.09.2025; Ogledov: 814; Prenosov: 12
.pdf Celotno besedilo (591,77 KB)
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Music and myth : the relationship between music preference and unverified beliefs
Elena Spirova, 2024, magistrsko delo

Ključne besede: predictive analysis, recommender systems, personality, beliefs, music
Objavljeno v RUP: 15.09.2024; Ogledov: 1709; Prenosov: 45
.pdf Celotno besedilo (482,08 KB)

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Exploring the prediction of personality traits from drug consumption profiles
Bruce Ferwerda, Marko Tkalčič, 2020, objavljeni znanstveni prispevek na konferenci

Ključne besede: personality, drug consumption, user modeling
Objavljeno v RUP: 18.01.2021; Ogledov: 2863; Prenosov: 22
URL Povezava na celotno besedilo

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Emotions and personality in recommender systems
Marko Tkalčič, 2018, objavljeni povzetek znanstvenega prispevka na konferenci

Ključne besede: implicit preference elicitation, facial expressions, emotions, personality
Objavljeno v RUP: 18.01.2021; Ogledov: 2322; Prenosov: 21
URL Povezava na celotno besedilo

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Predicting users' personality from instagram pictures : using visual and/or content features?
Bruce Ferwerda, Marko Tkalčič, 2018, objavljeni znanstveni prispevek na konferenci

Ključne besede: personality, Instagram, picture content, social media
Objavljeno v RUP: 18.01.2021; Ogledov: 3901; Prenosov: 18
URL Povezava na celotno besedilo

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