Towards Better User Requirements: How to Involve Human Participants in XAI Research
- Iris Nguyen,
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPublication milestones
- Published - 2022
Publication status
Published - 2022
Host publication title
Proceeding of the Human Centered AI workshop at NeurIPS 2022Abstract
Abstract
Human-Center eXplainable AI (HCXAI) literature identifies the need to address
user needs. This paper examines how existing XAI research involves human users
in designing and developing XAI systems and identifies limitations in current practices, especially regarding how researchers identify user requirements. Finally, we
propose several suggestions on how to derive better user requirements.
Human-Center eXplainable AI (HCXAI) literature identifies the need to address
user needs. This paper examines how existing XAI research involves human users
in designing and developing XAI systems and identifies limitations in current practices, especially regarding how researchers identify user requirements. Finally, we
propose several suggestions on how to derive better user requirements.
Access to documents
Proof, 77.77 KB
Related Event
Title
Workshop on Human-Centered AI Workshop at NeurIPS
Event type
WorkshopDegree of recognition
International eventDate
09/12/2022 Location
VIRTUALOnline
