Details
Originalsprache | Englisch |
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Titel des Sammelwerks | Requirements Engineering |
Untertitel | Foundation for Software Quality - 31st International Working Conference, REFSQ 2025, Proceedings |
Herausgeber/-innen | Anne Hess, Angelo Susi |
Herausgeber (Verlag) | Springer Science and Business Media Deutschland GmbH |
Seiten | 106-122 |
Seitenumfang | 17 |
ISBN (elektronisch) | 978-3-031-88531-0 |
ISBN (Print) | 9783031885303 |
Publikationsstatus | Veröffentlicht - 1 Apr. 2025 |
Veranstaltung | 31st International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2025 - Barcelona, Spanien Dauer: 7 Apr. 2025 → 10 Apr. 2025 |
Publikationsreihe
Name | Lecture Notes in Computer Science |
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Band | 15588 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (elektronisch) | 1611-3349 |
Abstract
Context and Motivation: Due to their increasing complexity, everyday software systems are becoming increasingly opaque for users. A frequently adopted method to address this difficulty is explainability, which aims to make systems more understandable and usable. Question/problem: However, explanations can also lead to unnecessary cognitive load. Therefore, adapting explanations to the actual needs of a user is a frequently faced challenge. Principal ideas/results: This study investigates factors influencing users’ preferred the level of detail and the form of an explanation (e.g., short text or video tutorial) in software. We conducted an online survey with 58 participants to explore relationships between demographics, software usage, app-specific knowledge, as well as their preferred explanation form and level of detail. The results indicate that users prefer moderately detailed explanations in short text formats. Correlation analyses revealed no relationship between app-specific knowledge and the preferred level of detail of an explanation, but an influence of demographic aspects (like gender) on app-specific knowledge and its impact on application confidence were observed, pointing to a possible mediated relationship between knowledge and preferences for explanations. Contribution: Our results show that explanation preferences are weakly influenced by app-specific knowledge but shaped by demographic and psychological factors, supporting the development of adaptive explanation systems tailored to user expertise. These findings support requirements analysis processes by highlighting important factors that should be considered in user-centered methods such as personas.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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Requirements Engineering: Foundation for Software Quality - 31st International Working Conference, REFSQ 2025, Proceedings. Hrsg. / Anne Hess; Angelo Susi. Springer Science and Business Media Deutschland GmbH, 2025. S. 106-122 (Lecture Notes in Computer Science; Band 15588 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - How Does Users’ App Knowledge Influence the Preferred Level of Detail and Format of Software Explanations?
AU - Obaidi, Martin
AU - Fischbach, Jannik
AU - Herrmann, Marc
AU - Deters, Hannah
AU - Droste, Jakob
AU - Klünder, Jil
AU - Schneider, Kurt
N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025/4/1
Y1 - 2025/4/1
N2 - Context and Motivation: Due to their increasing complexity, everyday software systems are becoming increasingly opaque for users. A frequently adopted method to address this difficulty is explainability, which aims to make systems more understandable and usable. Question/problem: However, explanations can also lead to unnecessary cognitive load. Therefore, adapting explanations to the actual needs of a user is a frequently faced challenge. Principal ideas/results: This study investigates factors influencing users’ preferred the level of detail and the form of an explanation (e.g., short text or video tutorial) in software. We conducted an online survey with 58 participants to explore relationships between demographics, software usage, app-specific knowledge, as well as their preferred explanation form and level of detail. The results indicate that users prefer moderately detailed explanations in short text formats. Correlation analyses revealed no relationship between app-specific knowledge and the preferred level of detail of an explanation, but an influence of demographic aspects (like gender) on app-specific knowledge and its impact on application confidence were observed, pointing to a possible mediated relationship between knowledge and preferences for explanations. Contribution: Our results show that explanation preferences are weakly influenced by app-specific knowledge but shaped by demographic and psychological factors, supporting the development of adaptive explanation systems tailored to user expertise. These findings support requirements analysis processes by highlighting important factors that should be considered in user-centered methods such as personas.
AB - Context and Motivation: Due to their increasing complexity, everyday software systems are becoming increasingly opaque for users. A frequently adopted method to address this difficulty is explainability, which aims to make systems more understandable and usable. Question/problem: However, explanations can also lead to unnecessary cognitive load. Therefore, adapting explanations to the actual needs of a user is a frequently faced challenge. Principal ideas/results: This study investigates factors influencing users’ preferred the level of detail and the form of an explanation (e.g., short text or video tutorial) in software. We conducted an online survey with 58 participants to explore relationships between demographics, software usage, app-specific knowledge, as well as their preferred explanation form and level of detail. The results indicate that users prefer moderately detailed explanations in short text formats. Correlation analyses revealed no relationship between app-specific knowledge and the preferred level of detail of an explanation, but an influence of demographic aspects (like gender) on app-specific knowledge and its impact on application confidence were observed, pointing to a possible mediated relationship between knowledge and preferences for explanations. Contribution: Our results show that explanation preferences are weakly influenced by app-specific knowledge but shaped by demographic and psychological factors, supporting the development of adaptive explanation systems tailored to user expertise. These findings support requirements analysis processes by highlighting important factors that should be considered in user-centered methods such as personas.
KW - app-specific knowledge
KW - explainability
KW - software engineering
KW - survey study
KW - user experience
UR - http://www.scopus.com/inward/record.url?scp=105002730458&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-88531-0_8
DO - 10.1007/978-3-031-88531-0_8
M3 - Conference contribution
AN - SCOPUS:105002730458
SN - 9783031885303
T3 - Lecture Notes in Computer Science
SP - 106
EP - 122
BT - Requirements Engineering
A2 - Hess, Anne
A2 - Susi, Angelo
PB - Springer Science and Business Media Deutschland GmbH
T2 - 31st International Working Conference on Requirements Engineering
Y2 - 7 April 2025 through 10 April 2025
ER -