Online Feedback Exchange and Career Development
Online feedback exchange (OFE) systems are an increasingly popular way to test concepts with millions of target users before going to market. Yet, we know little about how users make sense of this feedback and how this feedback could be used to support freelancers, who must constantly improve their online portfolios to develop successful careers. In my research, I developed a framework for thinking about the socio-psychological factors in OFE systems, highlighted novice-expert differences in making sense of online feedback, and designed a crowdsourced feedback tool, CrowdFolio, to help freelance designers’ understand how others’ view their work.
Publications
Eureka Foong, Joy O. 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 (CSCW) (Forthcoming)
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