Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW) |
| Herausgeber/-innen | Kurt Schneider, Fabiano Dalpiaz, Jennifer Horkoff |
| Seiten | 129-135 |
| Seitenumfang | 7 |
| ISBN (elektronisch) | 979-8-3503-2691-8 |
| Publikationsstatus | Veröffentlicht - 4 Sept. 2023 |
Publikationsreihe
| Name | Key-title IEEE International Requirements Engineering Conference Workshops |
|---|---|
| ISSN (Print) | 2770-6826 |
| ISSN (elektronisch) | 2770-6834 |
Abstract
With software systems becoming increasingly complex and opaque, explainability has become an emerging software quality aspect of our time. Raising explainability requirements for a large crowd of stakeholders can be a difficult task. At this point, it is unclear what factors have an impact on the subjective need for explanations. As researchers, we do not know whether end-users' explainability needs are specific for each system or if there are user types that have more generalized needs. Designing stakeholder personas has proven to be an effective method to elicit and communicate requirements. Indeed, personas have been established in both research and in applied scenarios such as software projects. Past work has created end-user personas for explainability requirements in the context of a specific system. The goal of this work is to design personas that do not only apply to explainability requirements of a certain software, but to explainability requirements in general. To this end, we conduct a mixed-methods user study consisting of an online survey and an interview study. Based on insights of 70 participants from the online survey, 10 of which were also interviewed, we design four end-user personas for general explainability requirements. We also validate the personas by doing use case walkthroughs with our participants. Our results indicate that it is possible to design end-user personas for general explainability requirements. These personas might be used in early software development stages to estimate end-users explainability needs before more specific requirements can be raised.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Software
- Informatik (insg.)
- Mensch-Maschine-Interaktion
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- BibTex
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2023 IEEE 31st International Requirements Engineering Conference Workshops (REW). Hrsg. / Kurt Schneider; Fabiano Dalpiaz; Jennifer Horkoff. 2023. S. 129-135 (Key-title IEEE International Requirements Engineering Conference Workshops ).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Designing End-user Personas for Explainability Requirements using Mixed Methods Research
AU - Droste, Jakob Richard Christian
AU - Deters, Hannah Luca
AU - Puglisi, Joshua
AU - Klünder, Jil Ann-Christin
N1 - This work was funded by the Deutsche Forschungsgemein- schaft (DFG, German Research Foundation) under Grant No.: 470146331, project softXplain (2022-2025).
PY - 2023/9/4
Y1 - 2023/9/4
N2 - With software systems becoming increasingly complex and opaque, explainability has become an emerging software quality aspect of our time. Raising explainability requirements for a large crowd of stakeholders can be a difficult task. At this point, it is unclear what factors have an impact on the subjective need for explanations. As researchers, we do not know whether end-users' explainability needs are specific for each system or if there are user types that have more generalized needs. Designing stakeholder personas has proven to be an effective method to elicit and communicate requirements. Indeed, personas have been established in both research and in applied scenarios such as software projects. Past work has created end-user personas for explainability requirements in the context of a specific system. The goal of this work is to design personas that do not only apply to explainability requirements of a certain software, but to explainability requirements in general. To this end, we conduct a mixed-methods user study consisting of an online survey and an interview study. Based on insights of 70 participants from the online survey, 10 of which were also interviewed, we design four end-user personas for general explainability requirements. We also validate the personas by doing use case walkthroughs with our participants. Our results indicate that it is possible to design end-user personas for general explainability requirements. These personas might be used in early software development stages to estimate end-users explainability needs before more specific requirements can be raised.
AB - With software systems becoming increasingly complex and opaque, explainability has become an emerging software quality aspect of our time. Raising explainability requirements for a large crowd of stakeholders can be a difficult task. At this point, it is unclear what factors have an impact on the subjective need for explanations. As researchers, we do not know whether end-users' explainability needs are specific for each system or if there are user types that have more generalized needs. Designing stakeholder personas has proven to be an effective method to elicit and communicate requirements. Indeed, personas have been established in both research and in applied scenarios such as software projects. Past work has created end-user personas for explainability requirements in the context of a specific system. The goal of this work is to design personas that do not only apply to explainability requirements of a certain software, but to explainability requirements in general. To this end, we conduct a mixed-methods user study consisting of an online survey and an interview study. Based on insights of 70 participants from the online survey, 10 of which were also interviewed, we design four end-user personas for general explainability requirements. We also validate the personas by doing use case walkthroughs with our participants. Our results indicate that it is possible to design end-user personas for general explainability requirements. These personas might be used in early software development stages to estimate end-users explainability needs before more specific requirements can be raised.
KW - Explainability
KW - Requirements Engineering
KW - CrowdRE
KW - Mixed Methods Research
KW - Personas
UR - http://www.scopus.com/inward/record.url?scp=85174689881&partnerID=8YFLogxK
U2 - 10.1109/REW57809.2023.00028
DO - 10.1109/REW57809.2023.00028
M3 - Conference contribution
SN - 979-8-3503-2692-5
T3 - Key-title IEEE International Requirements Engineering Conference Workshops
SP - 129
EP - 135
BT - 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW)
A2 - Schneider, Kurt
A2 - Dalpiaz, Fabiano
A2 - Horkoff, Jennifer
ER -