Recognizing the Algorithmic Literacy of Users in XAI: An Example-Based Approach

Katja Pott, Aletta Smits, Doris Agotai

Research output: Chapter in Book/Report/Conference proceedingContribution to conference proceedingAcademicpeer-review

Abstract

Recommender systems are widely used in today’s society, but many of them do not meet users’ needs and therefore fail to reach their full potential. Without careful consideration, such systems can interfere with the natural decision-making process, resulting in the disregard for recommendations provided. Therefore, it is vital to take into account multiple factors, including expertise, time and risk associated with decisions, as well as the system’s context to identify suitable affordances. Furthermore, it is important to consider the algorithmic and digital literacy of the users. This analysis could reveal innovative design opportunities, like combining a recommender system with a digital agent. As a result, it may meet interpersonal needs and facilitate a more natural interaction with the system. Implementing this combination in a digital marketplace could be a promising way to empower users towards an independent life.
Original languageEnglish
Title of host publicationDesign for Equality and Justice
Subtitle of host publicationINTERACT 2023 IFIP TC 13 Workshops, York, UK, August 28 – September 1, 2023, Revised Selected Papers, Part II
EditorsA. Bramwell-Dicks, A. Evans, M. Winckler, H. Petrie, J. Abdelnour-Nocera
Place of PublicationYork
PublisherSpringer International Publishing AG
Pages214-222
Number of pages9
Volume14536
Edition1
ISBN (Print)978-3-031-61697-6
DOIs
Publication statusPublished - 9 Jul 2024
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN0302-9743

Keywords

  • algorithmic literacy
  • digital literacy
  • inclusion
  • interactive tabletop projection
  • recommender systems

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