Details
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW) |
| Editors | Kurt Schneider, Fabiano Dalpiaz, Jennifer Horkoff |
| Pages | 345 - 351 |
| Number of pages | 7 |
| ISBN (electronic) | 979-8-3503-2691-8 |
| Publication status | Published - 2023 |
Publication series
| Name | Key-title IEEE International Requirements Engineering Conference Workshops |
|---|---|
| ISSN (Print) | 2770-6826 |
| ISSN (electronic) | 2770-6834 |
Abstract
Explainability is an emerging quality aspect that is just beginning to be explored in the context of requirements engineering. Since there are many different types of explanations, it is not trivial to determine where users need which type of explanations. As the need for explanations depends on the user and the context, the user should participate in the elicitation process. However, previous research has shown that simply asking users if they want explanations does not lead to meaningful results, since users tend to answer this question in the affirmative, regardless of whether they need the explanation or not. To address this problem, we developed a technique that allows users to realistically put themselves in the context of the system and thus determine where explanations are really required. This technique requires a framework as requirements that are being raised with this approach relate to the different types of explanations. These types of explanations need to be identified and classified. To evaluate our technology, we conducted a user study with 21 participants. With the help of our technique supported by the framework, requirements for explainability can be elicited more realistically.
Keywords
- Explainability, Requirements Engineering, Elicitation Techniques, Frameworks, Elicitation techniques
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science(all)
- Software
- Engineering(all)
- Safety, Risk, Reliability and Quality
- Social Sciences(all)
- Education
- Psychology(all)
- Developmental and Educational Psychology
- Business, Management and Accounting(all)
- Organizational Behavior and Human Resource Management
Cite this
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2023 IEEE 31st International Requirements Engineering Conference Workshops (REW). ed. / Kurt Schneider; Fabiano Dalpiaz; Jennifer Horkoff. 2023. p. 345 - 351 (Key-title IEEE International Requirements Engineering Conference Workshops).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Explanations on Demand
T2 - a Technique for Eliciting the Actual Need for Explanations
AU - Deters, Hannah Luca
AU - Droste, Jakob Richard Christian
AU - Fechner, Mathis
AU - Klünder, Jil Ann-Christin
N1 - Funding Information: This work was funded by the Deutsche Forschungsgemein-schaft (DFG, German Research Foundation) under Grant No.: 470146331, project softXplain (2022-2025).
PY - 2023
Y1 - 2023
N2 - Explainability is an emerging quality aspect that is just beginning to be explored in the context of requirements engineering. Since there are many different types of explanations, it is not trivial to determine where users need which type of explanations. As the need for explanations depends on the user and the context, the user should participate in the elicitation process. However, previous research has shown that simply asking users if they want explanations does not lead to meaningful results, since users tend to answer this question in the affirmative, regardless of whether they need the explanation or not. To address this problem, we developed a technique that allows users to realistically put themselves in the context of the system and thus determine where explanations are really required. This technique requires a framework as requirements that are being raised with this approach relate to the different types of explanations. These types of explanations need to be identified and classified. To evaluate our technology, we conducted a user study with 21 participants. With the help of our technique supported by the framework, requirements for explainability can be elicited more realistically.
AB - Explainability is an emerging quality aspect that is just beginning to be explored in the context of requirements engineering. Since there are many different types of explanations, it is not trivial to determine where users need which type of explanations. As the need for explanations depends on the user and the context, the user should participate in the elicitation process. However, previous research has shown that simply asking users if they want explanations does not lead to meaningful results, since users tend to answer this question in the affirmative, regardless of whether they need the explanation or not. To address this problem, we developed a technique that allows users to realistically put themselves in the context of the system and thus determine where explanations are really required. This technique requires a framework as requirements that are being raised with this approach relate to the different types of explanations. These types of explanations need to be identified and classified. To evaluate our technology, we conducted a user study with 21 participants. With the help of our technique supported by the framework, requirements for explainability can be elicited more realistically.
KW - Explainability
KW - Requirements Engineering
KW - Elicitation Techniques
KW - Frameworks
KW - Elicitation techniques
UR - http://www.scopus.com/inward/record.url?scp=85174730231&partnerID=8YFLogxK
U2 - 10.1109/REW57809.2023.00065
DO - 10.1109/REW57809.2023.00065
M3 - Conference contribution
SN - 979-8-3503-2692-5
T3 - Key-title IEEE International Requirements Engineering Conference Workshops
SP - 345
EP - 351
BT - 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW)
A2 - Schneider, Kurt
A2 - Dalpiaz, Fabiano
A2 - Horkoff, Jennifer
ER -