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

Titelangaben

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 (Hrsg.): 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

Volltext

Link zum Volltext (externe URL): Volltext

Angaben zu Projekten

Projekttitel:
Offizieller Projekttitel
Projekt-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

Projektfinanzierung: Deutsche Forschungsgemeinschaft
VolkswagenStiftung

Abstract

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.

Weitere Angaben

Publikationsform: Aufsatz in einem Buch
Begutachteter Beitrag: Ja
Keywords: Expert Workshop; Explainability; User Experience
Institutionen der Universität: Fakultäten > Kulturwissenschaftliche Fakultät > Institut für Philosophie
Forschungseinrichtungen > Zentrale wissenschaftliche Einrichtungen > Research Center for AI in Science and Society
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
100 Philosophie und Psychologie > 100 Philosophie
Eingestellt am: 22 Dec 2025 10:53
Letzte Änderung: 22 Dec 2025 10:53
URI: https://eref.uni-bayreuth.de/id/eprint/95485