As a human-computer interaction (HCI) researcher, my goal is to understand and design tools that promote equity in the online gig economy and remote work. The world is going through immense changes in how people find and do paid work that involves neither 1) working physically around other coworkers (remote work), nor 2) working long-term for the same employer (freelancing). These rapid changes have the potential to reduce inequities in the workplace; for example, in Japan and the US, women continue to earn less than men in part due to norms that favor inflexible, face-to-face work that could be mitigated with options like remote work or freelancing. In my dissertation work under Dr. Elizabeth Gerber at Northwestern University, I found that women on Upwork, one of the largest online freelance marketplaces, ask for substantially lower pay than men, and factors like part-time status contribute to these rate gaps. I also collaborated with Adobe Research to design CrowdFolio, a crowdsourced feedback tool to help freelancers improve their portfolios. At Tokyo College, I am excited to continue this research with Dr. Hideaki Kuzuoka in the Cyber Interface Lab and design tools that keep coworkers connected to each other while mitigating gender differences online.
2020- Postdoctoral Fellow, Tokyo College
2020 PhD, Technology and Social Behavior (Computer Science and Communication Studies), Northwestern University
2019 User Experience Research Intern, Facebook
2018 Research Science Intern, Adobe
2014-2015 Lead User Experience Researcher, Piktochart
2014 BA Summa Cum Laude, Psychology (Minor: Media Studies), Linfield University
2014 American Psychological Association Summer Science Research Fellow
Eureka Foong and Elizabeth M. Gerber. 2021. Understanding Gender Differences in Pricing Strategies in Online Labor Marketplaces. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21). (forthcoming)
Eureka Foong, Joy Kim, Mira Dontcheva, and Elizabeth M. Gerber. 2021. CrowdFolio: Understanding How Holistic and Decomposed Workflows Influence Feedback on Online Portfolios. Proc. ACM Hum.-Comput. Interact. (forthcoming)
Eureka Foong, Nicholas Vincent, Brent Hecht, and Elizabeth M. Gerber. 2018. Women (Still) Ask For Less: Gender Differences in Hourly Rate in an Online Labor Marketplace. Proc. ACM Hum.-Comput. Interact. 2, CSCW, Article 53 (November 2018), 21 pages. DOI:https://doi.org/10.1145/3274322
Eureka Foong, Darren Gergle, and Elizabeth M. Gerber. 2017. Novice and Expert Sensemaking of Crowdsourced Design Feedback. Proc. ACM Hum.-Comput. Interact. 1, CSCW, Article 45 (December 2017), 18 pages. DOI: https://doi.org/10.1145/3134680
Eureka Foong, Steven P. Dow, Brian P. Bailey, and Elizabeth M. Gerber. 2017. Online Feedback Exchange: A Framework for Understanding the Socio-Psychological Factors. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI ’17). ACM, New York, NY, USA, 4454-4467. DOI: https://doi.org/10.1145/3025453.3025791
