Explanations in Everyday Software Systems

The integration of explanations within software can address the opacity of complex systems, making them more understandable to end-users. Understanding what type of system requires what types of explanations is necessary to facilitate the consideration of explainability in early software design processes. In order to specify explainability requirements, an explainability taxonomy that applies to different software types is needed. Our work reports on the results of an online survey with 84 participants. We asked the participants to state their questions and confusions concerning their three most recently used software systems and elicited explainability needs from their statements. These needs were coded by three researchers. In total, we identified and classified 315 explainability needs from the survey answers.

Publication Details

Journal
Gesellschaft für Informatik (GI)
Published
2025-01-01
DOI
https://doi.org/10.18420/se2025-26
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

Explanations in Everyday Software Systems

Gesellschaft für Informatik (GI)
Explainable Artificial Intelligence (XAI)
article

Explanations in Everyday Software Systems

article en

Abstract

The integration of explanations within software can address the opacity of complex systems, making them more understandable to end-users. Understanding what type of system requires what types of explanations is necessary to facilitate the consideration of explainability in early software design processes. In order to specify explainability requirements, an explainability taxonomy that applies to different software types is needed. Our work reports on the results of an online survey with 84 participants. We asked the participants to state their questions and confusions concerning their three most recently used software systems and elicited explainability needs from their statements. These needs were coded by three researchers. In total, we identified and classified 315 explainability needs from the survey answers.

Gesellschaft für Informatik (GI)
Openalex Percentile: Top 74%
Explainable Artificial Intelligence (XAI)
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Explanations in Everyday Software Systems · Gesellschaft für Informatik (GI) (2025) | TGRS Research Map | TGRS