Diversity Challenges in Recruiting for Human-Centered Explainable AI Studies

Recruiting participants is a pivotal yet challenging aspect of Human-Computer Interaction (HCI) research. In this position paper, we reflect on our experiences recruiting participants for multiple user studies within a human-centered Explainable AI project. Emphasizing the importance of participant diversity in terms of their AI knowledge and experiences, we discuss challenges, trade-offs, and strategies associated with recruiting for both in-person and remote participation.

Authors

Institutions

Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/vl/hcc60511.2024.00067
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.12
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diversity Challenges in Recruiting for Human-Centered Explainable AI Studies

Andrea Bunt, Ariful Islam Anik
1 citations
Artificial Intelligence in Healthcare and Education
0.12
article

Diversity Challenges in Recruiting for Human-Centered Explainable AI Studies

Andrea Bunt, Ariful Islam Anik
article en
1 citations

Abstract

Recruiting participants is a pivotal yet challenging aspect of Human-Computer Interaction (HCI) research. In this position paper, we reflect on our experiences recruiting participants for multiple user studies within a human-centered Explainable AI project. Emphasizing the importance of participant diversity in terms of their AI knowledge and experiences, we discuss challenges, trade-offs, and strategies associated with recruiting for both in-person and remote participation.

University of Manitoba (CA)
Openalex Percentile: Top 48%
Artificial Intelligence in Healthcare and Education
0.12
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Diversity Challenges in Recruiting for Human-Centered Explainable AI Studies — Andrea Bunt, Ariful Islam Anik · (2024) | TGRS Research Map | TGRS