Details
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE 30th International Requirements Engineering Conference (RE) |
| Editors | Eric Knauss, Gunter Mussbacher, Chetan Arora, Muneera Bano, Jean-Guy Schneider |
| Pages | 140-152 |
| Number of pages | 13 |
| ISBN (electronic) | 978-1-6654-7000-1 |
| Publication status | Published - 2022 |
Publication series
| Name | Proceedings of the IEEE International Conference on Requirements Engineering |
|---|---|
| Volume | 2022-August |
| ISSN (Print) | 1090-705X |
| ISSN (electronic) | 2332-6441 |
Abstract
Explainability has been acknowledged as a fundamental requirement for modern information systems. However, there are currently only few guidelines available to assist software professionals in dealing with this requirement and integrating it into systems. More precisely, there is a lack of frameworks and guidelines that help to define and operationalize explainability requirements. To address this need, we present a quality framework that aggregates external dependencies, characteristics of explanations, and evaluation methods to facilitate the analysis, operationalization, and evaluation of explainability requirements. We conducted a literature study to construct the framework and demonstrated its applicability by using it as a guideline for incorporating explanations into an existing navigation system. Finally, we evaluated the quality and effect of the explanations through an experiment within our case study. Our results show that the quality framework is applicable and beneficial in an industrial context and leads to the construction of explanations that increase usage frequency, system acceptance and user satisfaction.
Keywords
- Case Study, Explainability, Explainable Systems, Explanations, NonFunctional Requirements, Quality Aspects
ASJC Scopus subject areas
- Engineering(all)
- Computer Science(all)
- Business, Management and Accounting(all)
- Strategy and Management
Cite this
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2022 IEEE 30th International Requirements Engineering Conference (RE). ed. / Eric Knauss; Gunter Mussbacher; Chetan Arora; Muneera Bano; Jean-Guy Schneider. 2022. p. 140-152 (Proceedings of the IEEE International Conference on Requirements Engineering; Vol. 2022-August).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Requirements on Explanations
T2 - A Quality Framework for Explainability
AU - Chazette, Larissa
AU - Klös, Verena
AU - Herzog, Florian
AU - Schneider, Kurt
N1 - Funding information: ACKNOWLEDGMENTS This work was supported by the research initiative Mobilise between the Technical University of Braunschweig and Leibniz University Hannover, funded by the Ministry for Science and Culture of Lower Saxony. We thank the Graphmasters GmbH for their valuable cooperation, all case study participants, and the anonymous reviewers who gave feedback on our manuscript.
PY - 2022
Y1 - 2022
N2 - Explainability has been acknowledged as a fundamental requirement for modern information systems. However, there are currently only few guidelines available to assist software professionals in dealing with this requirement and integrating it into systems. More precisely, there is a lack of frameworks and guidelines that help to define and operationalize explainability requirements. To address this need, we present a quality framework that aggregates external dependencies, characteristics of explanations, and evaluation methods to facilitate the analysis, operationalization, and evaluation of explainability requirements. We conducted a literature study to construct the framework and demonstrated its applicability by using it as a guideline for incorporating explanations into an existing navigation system. Finally, we evaluated the quality and effect of the explanations through an experiment within our case study. Our results show that the quality framework is applicable and beneficial in an industrial context and leads to the construction of explanations that increase usage frequency, system acceptance and user satisfaction.
AB - Explainability has been acknowledged as a fundamental requirement for modern information systems. However, there are currently only few guidelines available to assist software professionals in dealing with this requirement and integrating it into systems. More precisely, there is a lack of frameworks and guidelines that help to define and operationalize explainability requirements. To address this need, we present a quality framework that aggregates external dependencies, characteristics of explanations, and evaluation methods to facilitate the analysis, operationalization, and evaluation of explainability requirements. We conducted a literature study to construct the framework and demonstrated its applicability by using it as a guideline for incorporating explanations into an existing navigation system. Finally, we evaluated the quality and effect of the explanations through an experiment within our case study. Our results show that the quality framework is applicable and beneficial in an industrial context and leads to the construction of explanations that increase usage frequency, system acceptance and user satisfaction.
KW - Case Study
KW - Explainability
KW - Explainable Systems
KW - Explanations
KW - NonFunctional Requirements
KW - Quality Aspects
UR - http://www.scopus.com/inward/record.url?scp=85140978973&partnerID=8YFLogxK
U2 - 10.1109/RE54965.2022.00019
DO - 10.1109/RE54965.2022.00019
M3 - Conference contribution
SN - 978-1-6654-7001-8
T3 - Proceedings of the IEEE International Conference on Requirements Engineering
SP - 140
EP - 152
BT - 2022 IEEE 30th International Requirements Engineering Conference (RE)
A2 - Knauss, Eric
A2 - Mussbacher, Gunter
A2 - Arora, Chetan
A2 - Bano, Muneera
A2 - Schneider, Jean-Guy
ER -