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The X Factor : On the Relationship between User eXperience and eXplainability

Title data

Deters, Hannah ; Droste, Jakob ; Hess, Anne ; Klös, Verena ; Schneider, Kurt ; Speith, Timo ; Vogelsang, Andreas:
The X Factor : On the Relationship between User eXperience and eXplainability.
In: Cajander, Åsa ; Wiberg, Mikael (ed.): Proceedings of the 13th Nordic Conference on Human-Computer Interaction (NordiCHI '24). - New York, NY, USA : Association for Computing Machinery , 2024
ISBN 979-8-4007-0966-1
DOI: https://doi.org/10.1145/3679318.3685352

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
TRR 248: Grundlagen verständlicher Software-Systeme - für eine nachvollziehbare cyber-physische Welt
389792660
EXC 2050: Centre for Tactile Internet with Human-in-the-Loop (CeTI)
390696704
softXplain: Anforderungen für selbst-erklärende Software
470146331
Explainable Intelligent Systems
AZ 98514
Explainable Intelligent Systems
AZ 9B830

Project financing: Deutsche Forschungsgemeinschaft
VolkswagenStiftung

Abstract in another language

In this era of complex software systems and artificial intelligence (AI), software in both personal and professional spaces has become more opaque and difficult to use. Research in several disciplines has identified explainability as a means to address these issues, aiming to improve the user experience (UX). While there are notions that explainability interacts with a plethora of UX factors in both positive and negative ways, it is unclear how explanations ultimately affect the overall user experience. To provide an overview of existing research, we examined an SLR on explainability and its influence on various software quality aspects for links to UX factors. Furthermore, we conducted a workshop with 12 UX experts to validate the findings from the literature and identify possible research gaps. The results of our work suggest that explainability has the potential to improve user experience, but that implementing explanations incorrectly poses a substantial risk. We also identify research gaps concerning explainability and user experience and suggest directions for future research.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Expert Workshop; Explainability; User Experience
Institutions of the University: Faculties > Faculty of Cultural Studies > Department of Philosophy
Research Institutions > Central research institutes > Research Center for AI in Science and Society
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
100 Philosophy and psychology > 100 Philosophy
Date Deposited: 22 Dec 2025 10:53
Last Modified: 22 Dec 2025 10:53
URI: https://eref.uni-bayreuth.de/id/eprint/95485