PsyIAS: Psychology-informed
Information Access Systems
March 8th - in conjunction with WSDM 2024, Mérida, Mexico
Objective
The PsyIAS workshop bridges the disciplines of machine learning and psychology, aiming to connect the research communities of information retrieval, recommender systems and natural language processing with cognitive and behavioral psychology. It serves as a forum for exchanging ideas and engaging in multidisciplinary discussions about the use of psychological constructs, theories, and empirical findings for modeling and predicting user preferences, intents, and behaviors. In particular, research about incorporating such psychology-inspired models into the search, retrieval, and recommendation processes, and corresponding algorithms and systems, are in the focus of PsyIAS. On a more fundamental level, we are also interested in research that looks into the role of cognitive processes underlying human information access.
Call for Contributions
We welcome full research papers (10-12 pages) and short position papers (4-6 pages).
Topics of interest include, but are not limited to:
algorithmic content ranking systems inspired by cognition, personality or affect;
exploration on decision biases shaping user interaction with information access systems;
human decision making and information access systems;
psychological-derived design and evaluation methods of information access systems.
Important Dates
Paper submission: Jan 8, 2024 Extended deadline: Jan 15, 2024
Author notification: Feb 1, 2024
Workshop: Mar 8, 2024
Organizers
Markus Schedl, Johannes Kepler University
Marta Moscati, Johannes Kepler University
Bruno Sguerra, Deezer Research
Romain Hennequin, Deezer Research
Elisabeth Lex, Graz University of Technology