Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'22)

Peter Brusilovsky, Marco De Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

The constant increase in the amount of data and information available on the Web has made the development of systems that can support users in making relevant decisions increasingly important. Recommender systems (RSs) have emerged as tools to address this task. RSs use the preferences expressed by a user, either explicitly or implicitly, to filter the available information and proactively suggest items that might be of interest to him or her. Although in early works about the topic there was a strong interest in ways to make such systems proactive, user-friendly, and persuasive, over time they became increasingly focused on the algorithmic component solely. However, this trend is gradually being reversed and always more attention is nowadays placed also on Human Decision Making models that focus on supporting the end user in understanding what is being proposed through RSs by using dynamic and persuasive interfaces. A recommender system should be based on valuable strategies for proactively guiding users to items that match their preferences and therefore should put attention on how it is possible to make this process trustable, pleasant, and user-friendly. Such systems, moreover, should take into account psychological, cognitive and emotional aspects to enable personalization that is appropriate not only to the context of use but also to the psychological reactions of the end user. The workshop provides a venue for works that invest in the design of recommender systems which consider users' experience during the interaction, as well as for works that explore the implications of human-computer interactions with different theories of human decision-making. In this summary, we introduce the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems at RecSys'22, review its history, and discuss the most important topics considered at the workshop.

Original languageEnglish
Title of host publicationRecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems
PublisherAssociation of Computing Machinery
Pages667-670
Number of pages4
ISBN (Electronic)9781450392785
DOIs
Publication statusPublished - 12 Sep 2022
Event16th ACM Conference on Recommender Systems: RecSys 2022 - Seattle, United States
Duration: 18 Sep 202223 Sep 2022

Workshop

Workshop16th ACM Conference on Recommender Systems
Abbreviated titleRecSys 2022
Country/TerritoryUnited States
CitySeattle
Period18/09/2223/09/22

Keywords

  • Decision Biases
  • Evaluation Methods
  • Human Computer Interaction
  • Human Decision Making
  • Recommender Systems
  • User Interfaces

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software

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