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Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceeding of the Human Centered AI workshop at NeurIPS 2022 |
| Publication date | 2022 |
| Publication status | Published - 2022 |
Keywords
- Human-Centered AI
- Explainable AI (XAI)
- User Requirements
- Human-Computer Interaction (HCI)
- User-Centered Design
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ExPAI: Explainable Personalization AI for Health and Well-Being
Zhu, J. (PI), Malmborg, L. (CoI), Meyer, L. S. (CoI) & van der Maden, W. L. A. (CoI)
01/01/2021 → 31/12/2025
Project: Research