Psychology-informed Information Access Systems Workshop

Markus Schedl; Marta Moscati; Bruno Sguerra; Romain Hennequin; Elisabeth Lex

doi:10.1145/3616855.3635722

Psychology-informed Information Access Systems Workshop

Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex

Institute of Human-Centred Computing (7060)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

The Psychology-informed Information Access Systems (PsyIAS) workshop bridges the fields of machine learning and psychology, aiming to connect the research communities of information retrieval, recommender systems, natural language processing, as well as cognitive and behavioral psychology. It serves as a forum for multidisciplinary discussions about the use of psychological constructs, theories, and empirical findings for modeling and predicting user preferences, intents, and behaviors. PsyIAS particularly focuses on research that incorporates such psychology-inspired models into the search, retrieval, and recommendation processes, creates corresponding algorithms and systems, or looks into the role of cognitive processes underlying human information access. More information can be found at https://sites.google.com/view/psyias.

Original language	English
Title of host publication	WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining
Publisher	Association of Computing Machinery
Pages	1216-1217
Number of pages	2
ISBN (Electronic)	9798400703713
DOIs	https://doi.org/10.1145/3616855.3635722
Publication status	Published - 4 Mar 2024
Event	17th ACM International Conference on Web Search and Data Mining: WSDM 2024 - Merida, Mexico Duration: 4 Mar 2024 → 8 Mar 2024

Conference

Conference	17th ACM International Conference on Web Search and Data Mining
Abbreviated title	WSDM 2024
Country/Territory	Mexico
City	Merida
Period	4/03/24 → 8/03/24

Keywords

affect
cognition
explainability
human decision-making
information retrieval
learning to rank
natural language processing
personality
psychology
recommender systems
user-centric evaluation

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Software

Access to Document

10.1145/3616855.3635722

Cite this

Schedl, M, Moscati, M, Sguerra, B, Hennequin, R & Lex, E 2024, Psychology-informed Information Access Systems Workshop. in WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining. Association of Computing Machinery, pp. 1216-1217, 17th ACM International Conference on Web Search and Data Mining, Merida, Mexico, 4/03/24. https://doi.org/10.1145/3616855.3635722

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abstract = "The Psychology-informed Information Access Systems (PsyIAS) workshop bridges the fields of machine learning and psychology, aiming to connect the research communities of information retrieval, recommender systems, natural language processing, as well as cognitive and behavioral psychology. It serves as a forum for multidisciplinary discussions about the use of psychological constructs, theories, and empirical findings for modeling and predicting user preferences, intents, and behaviors. PsyIAS particularly focuses on research that incorporates such psychology-inspired models into the search, retrieval, and recommendation processes, creates corresponding algorithms and systems, or looks into the role of cognitive processes underlying human information access. More information can be found at https://sites.google.com/view/psyias.",

keywords = "affect, cognition, explainability, human decision-making, information retrieval, learning to rank, natural language processing, personality, psychology, recommender systems, user-centric evaluation",

author = "Markus Schedl and Marta Moscati and Bruno Sguerra and Romain Hennequin and Elisabeth Lex",

note = "Publisher Copyright: {\textcopyright} 2024 Owner/Author.; 17th ACM International Conference on Web Search and Data Mining : WSDM 2024, WSDM 2024 ; Conference date: 04-03-2024 Through 08-03-2024",

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doi = "10.1145/3616855.3635722",

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AU - Moscati, Marta

AU - Sguerra, Bruno

AU - Hennequin, Romain

AU - Lex, Elisabeth

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KW - affect

KW - cognition

KW - explainability

KW - human decision-making

KW - information retrieval

KW - learning to rank

KW - natural language processing

KW - personality

KW - psychology

KW - recommender systems

KW - user-centric evaluation

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M3 - Conference paper

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BT - WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining

PB - Association of Computing Machinery

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Y2 - 4 March 2024 through 8 March 2024

ER -

Psychology-informed Information Access Systems Workshop

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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