Details
| Original language | English |
|---|---|
| Title of host publication | NordiCHI '24: Proceedings of the 13th Nordic Conference on Human-Computer Interaction |
| Number of pages | 12 |
| ISBN (electronic) | 9798400709661 |
| Publication status | Published - 2024 |
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.
Keywords
- Expert Workshop, Explainability, User Experience
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Computer Networks and Communications
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NordiCHI '24: Proceedings of the 13th Nordic Conference on Human-Computer Interaction. 2024. 19.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - The X Factor
T2 - On the Relationship between User eXperience and eXplainability
AU - Deters, Hannah
AU - Droste, Jakob
AU - Hess, Anne
AU - Klös, Verena
AU - Schneider, Kurt
AU - Speith, Timo
AU - Vogelsang, Andreas
N1 - Publisher Copyright: © 2024 Copyright held by the owner/author(s).
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Expert Workshop
KW - Explainability
KW - User Experience
UR - http://www.scopus.com/inward/record.url?scp=85206567753&partnerID=8YFLogxK
U2 - 10.1145/3679318.3685352
DO - 10.1145/3679318.3685352
M3 - Conference contribution
BT - NordiCHI '24: Proceedings of the 13th Nordic Conference on Human-Computer Interaction
ER -