{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T22:58:37Z","timestamp":1777762717559,"version":"3.51.4"},"reference-count":370,"publisher":"Emerald","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,15]]},"abstract":"<jats:p>Personalized recommender systems have become indispensable in today\u2019s online world. Most of today\u2019s recommendation algorithms are data-driven and based on behavioral data. While such systems can produce useful recommendations, they are often uninterpretable, black-box models, which do not incorporate the underlying cognitive reasons for user behavior in the algorithms\u2019 design. The aim of this survey is to present a thorough review of the state of the art of recommender systems that leverage psychological constructs and theories to model and predict user behavior and improve the recommendation process. We call such systems psychology-informed recommender systems. The survey identifies three categories of psychology-informed recommender systems: cognition-inspired, personality-aware, and affectaware recommender systems. Moreover, for each category, we highlight domains, in which psychological theory plays a key role and is therefore considered in the recommendation process. As recommender systems are fundamental tools to support human decision making, we also discuss selected phenomena related to human decision making that impact the interaction between a user and a recommender. Besides, we discuss related work that investigates the evaluation of recommender systems from the user perspective and highlight user-centric evaluation frameworks. We discuss potential research tasks for future work at the end of this survey.<\/jats:p>","DOI":"10.1561\/1500000090","type":"journal-article","created":{"date-parts":[[2021,7,9]],"date-time":"2021-07-09T08:33:32Z","timestamp":1625819612000},"page":"134-242","source":"Crossref","is-referenced-by-count":61,"title":["Psychology-informed Recommender Systems"],"prefix":"10.1108","volume":"15","author":[{"given":"Elisabeth","family":"Lex","sequence":"first","affiliation":[{"name":"Graz University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dominik","family":"Kowald","sequence":"additional","affiliation":[{"name":"Know-Center GmbH"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Seitlinger","sequence":"additional","affiliation":[{"name":"Tallinn University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thi Ngoc Trang","family":"Tran","sequence":"additional","affiliation":[{"name":"Graz University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Felfernig","sequence":"additional","affiliation":[{"name":"Graz University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Markus","family":"Schedl","sequence":"additional","affiliation":[{"name":"Johannes Kepler University Linz and Linz Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2021,7,15]]},"reference":[{"key":"2026040314430289500_ref001","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1007\/978-3-319-91485-5_12","volume-title":"Social Computing and Social Media. 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