Towards Better User Requirements: How to Involve Human Participants in XAI Research

Iris Nguyen; Jichen Zhu

Towards Better User Requirements: How to Involve Human Participants in XAI Research

Iris Nguyen
, Jichen Zhu

Human-AI Interaction Lab

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

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.

Original language	English
Title of host publication	Proceeding of the Human Centered AI workshop at NeurIPS 2022
Publication date	2022
Publication status	Published - 2022
Event	Workshop on Human-Centered AI Workshop at NeurIPS - VIRTUAL, Online Duration: 9 Dec 2022 → … https://hcai-at-neurips.github.io/site/

Workshop

Workshop	Workshop on Human-Centered AI Workshop at NeurIPS
Location	VIRTUAL
City	Online
Period	09/12/2022 → …
Internet address	https://hcai-at-neurips.github.io/site/

Keywords

Human-Centered AI
Explainable AI (XAI)
User Requirements
Human-Computer Interaction (HCI)
User-Centered Design

Access to Document

2212.03186Proof, 77.8 KB

ExPAI: Explainable Personalization AI for Health and Well-Being
Zhu, J. (PI), Malmborg, L. (CoI), Meyer, L. S. (CoI) & Maden, W. L. A. V. D. (CoI)
Novo Nordisk Foundation
01/01/2021 → 01/05/2027
Project: Research

Cite this

@inproceedings{015d3cb27af0471eb174c482c0207347,

title = "Towards Better User Requirements: How to Involve Human Participants in XAI Research",

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. ",

keywords = "Human-Centered AI, Explainable AI (XAI), User Requirements, Human-Computer Interaction (HCI), User-Centered Design, Human-Centered AI, Explainable AI (XAI), User Requirements, Human-Computer Interaction (HCI), User-Centered Design",

author = "Iris Nguyen and Jichen Zhu",

year = "2022",

language = "English",

booktitle = "Proceeding of the Human Centered AI workshop at NeurIPS 2022",

note = "Workshop on Human-Centered AI Workshop at NeurIPS, HCAI ; Conference date: 09-12-2022",

url = "https://hcai-at-neurips.github.io/site/",

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AU - Nguyen, Iris

AU - Zhu, Jichen

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Human-Centered AI

KW - Explainable AI (XAI)

KW - User Requirements

KW - Human-Computer Interaction (HCI)

KW - User-Centered Design

KW - Human-Centered AI

KW - Explainable AI (XAI)

KW - User Requirements

KW - Human-Computer Interaction (HCI)

KW - User-Centered Design

M3 - Article in proceedings

BT - Proceeding of the Human Centered AI workshop at NeurIPS 2022

T2 - Workshop on Human-Centered AI Workshop at NeurIPS

Y2 - 9 December 2022

ER -

Towards Better User Requirements: How to Involve Human Participants in XAI Research

Abstract

Workshop

Keywords

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Projects

ExPAI: Explainable Personalization AI for Health and Well-Being

Cite this