EPIC: Enhanced Privacy and Integrity Considerations for Research

Tutorial on enhancing the privacy and integrity of human subjects research

Greenville, South Carolina, USA

18th March, 2024

A One-day Tutorial at IUI’ 24

The EPIC tutorial will give HCI and AI researchers fundamental knowledge on designing robust, privacy-preserving human subjects studies. Individuals who currently engage in or aspire to involve human subjects in their research are encouraged to participate. We welcome individuals with varying levels of expertise, particularly those interested in gaining knowledge about power analysis and sample sizes, data collection, and privacy considerations. Additionally, experts in the field are invited to join and contribute their insights as we aim to integrate diverse perspectives and established practices regarding research best practices and privacy concerns for human-centered AI studies.

Schedule

Time	Activity
8:45 AM	Check-in
Morning Sessions	Existing Practices, Challenges, and Opportunities for EPIC in HCAI Human Subjects Research
9:00 AM	Welcome & Introductions

9:20 AM	Group Activity: Identifying Barriers to Robust, Privacy-enhancing Human Subjects Research in HCAI
10:30 AM	Break
10:45 AM	Group Activity: Quick Question!
10:50 AM	Best Practices – How much data? Determining Sample Sizes that Balance Study Needs & Participant Privacy
11:10 AM	Best Practices – What data? Privacy-Preservation in Demographic Data Collection
11:30 AM	Ask an Expert: Hands-on Advice for Determining Sample Sizes and Developing Demographic Questionnaires
12:30 PM	Lunch
Afternoon Sessions	Opportunities for EPIC in HCAI Human Subjects Research
2:00 PM	Designing Privacy-Preserving Data Collection Tools
2:15 PM	Group Activity: Designing Tools for Enhanced Privacy and Integrity Considerations for HCAI
3:45 PM	Break
4:00 PM	Group Activity: Paths Forward for HCAI Research
4:45 PM	Concluding Remarks (EPIC Tutorial ends at 5:00 PM)

*The schedule may be subject to change depending on the circumstances

Organizers

Kelly Caine

Dr. Caine (caine@clemson.edu) co-authored the book on conducting human participant studies, and her CHI paper on sample sizes helps researchers choose best sample sizes.

Bart Knijnenburg

Dr. Knijnenburg (bartk@clemson.edu) specializes in scale development, statistical evaluation, usable privacy, and user-tailored online privacy solutions.

Emily Sidnam-Mauch

Dr. Sidnam-Mauch (sidnam@clemson.edu) specializes in computer-mediated communication and social media, with a curriculum on sample size, power analysis, and effect size.

Susan McGregor

Susan McGregor (sem2196@columbia.edu) is a Research Scholar at Columbia University’s Data Science Institute. Her research focuses on media organization security and privacy.