Details
| Original language | English |
|---|---|
| Title of host publication | REFSQ Co-Located Events 2024 |
| Subtitle of host publication | Joint Proceedings of REFSQ-2024 Workshops, Doctoral Symposium, Posters & Tools Track, and Education and Training Track co-located with the 30th International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2024) |
| Volume | 3672 |
| Publication status | Published - 2024 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR Workshop Proceedings |
| Volume | 3672 |
| ISSN (Print) | 1613-0073 |
Abstract
In a time of increasingly complex software systems, explainability is an emerging software quality aspect that can support users by increasing understandability and providing guidance. If the explanations provided by a system are not appropriate, or if there are too many explanations, users are obstructed rather than supported. The elicitation of explainability requirements is subject to confirmation bias and hypothetical bias, and it often relies on the tacit knowledge of stakeholders. Furthermore, there is a need to identify explainability needs during system runtime, as different users of the same system may have vastly different explainability needs. To address these biases and enable the detection of explainability needs, we propose the observation and analysis of user biometrics during runtime. For instance, we assumed that the need for explanations might correlate with an increased stress level, which could be detected via biometric sensors. In this paper, we report an experiment in which we had nine participants wearing a biometric watch while they navigated a software system that purposefully induced explainability needs. The preliminary results of our experiment indicate that explainability needs may be detected via physiological triggers. In particular, we identified electrodermal activity as a notable indicator for the need for explanations.
Keywords
- Biometric Sensors, Explainability, Physiological Triggers, Requirements Engineering
ASJC Scopus subject areas
- Computer Science(all)
- General Computer Science
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
REFSQ Co-Located Events 2024: Joint Proceedings of REFSQ-2024 Workshops, Doctoral Symposium, Posters & Tools Track, and Education and Training Track co-located with the 30th International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2024). Vol. 3672 2024. (CEUR Workshop Proceedings; Vol. 3672).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - On the Pulse of Requirements Elicitation
T2 - Physiological Triggers and Explainability Needs
AU - Deters, Hannah
AU - Droste, Jakob
AU - Schneider, Kurt
N1 - Publisher Copyright: © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2024
Y1 - 2024
N2 - In a time of increasingly complex software systems, explainability is an emerging software quality aspect that can support users by increasing understandability and providing guidance. If the explanations provided by a system are not appropriate, or if there are too many explanations, users are obstructed rather than supported. The elicitation of explainability requirements is subject to confirmation bias and hypothetical bias, and it often relies on the tacit knowledge of stakeholders. Furthermore, there is a need to identify explainability needs during system runtime, as different users of the same system may have vastly different explainability needs. To address these biases and enable the detection of explainability needs, we propose the observation and analysis of user biometrics during runtime. For instance, we assumed that the need for explanations might correlate with an increased stress level, which could be detected via biometric sensors. In this paper, we report an experiment in which we had nine participants wearing a biometric watch while they navigated a software system that purposefully induced explainability needs. The preliminary results of our experiment indicate that explainability needs may be detected via physiological triggers. In particular, we identified electrodermal activity as a notable indicator for the need for explanations.
AB - In a time of increasingly complex software systems, explainability is an emerging software quality aspect that can support users by increasing understandability and providing guidance. If the explanations provided by a system are not appropriate, or if there are too many explanations, users are obstructed rather than supported. The elicitation of explainability requirements is subject to confirmation bias and hypothetical bias, and it often relies on the tacit knowledge of stakeholders. Furthermore, there is a need to identify explainability needs during system runtime, as different users of the same system may have vastly different explainability needs. To address these biases and enable the detection of explainability needs, we propose the observation and analysis of user biometrics during runtime. For instance, we assumed that the need for explanations might correlate with an increased stress level, which could be detected via biometric sensors. In this paper, we report an experiment in which we had nine participants wearing a biometric watch while they navigated a software system that purposefully induced explainability needs. The preliminary results of our experiment indicate that explainability needs may be detected via physiological triggers. In particular, we identified electrodermal activity as a notable indicator for the need for explanations.
KW - Biometric Sensors
KW - Explainability
KW - Physiological Triggers
KW - Requirements Engineering
UR - http://www.scopus.com/inward/record.url?scp=85193067738&partnerID=8YFLogxK
M3 - Conference contribution
VL - 3672
T3 - CEUR Workshop Proceedings
BT - REFSQ Co-Located Events 2024
ER -