• Media type: E-Article
  • Title: CrowdFolio : Understanding How Holistic and Decomposed Workflows Influence Feedback on Online Portfolios : Understanding How Holistic and Decomposed Workflows Influence Feedback on Online Portfolios
  • Contributor: Foong, Eureka; Kim, Joy O.; Dontcheva, Mira; Gerber, Elizabeth M.
  • imprint: Association for Computing Machinery (ACM), 2021
  • Published in: Proceedings of the ACM on Human-Computer Interaction
  • Language: English
  • DOI: 10.1145/3449096
  • ISSN: 2573-0142
  • Origination:
  • Footnote:
  • Description: <jats:p>Freelancers increasingly earn their livelihood through online marketplaces. To attract new clients, freelancers continuously curate their online portfolios to convey their unique skills and style. However, many lack access to rapid, regular, and inexpensive feedback needed to improve their portfolios. Existing crowd feedback systems, which collect feedback on individual creative projects (i.e., decomposed approach), could fill this need, but it is unclear how they might support feedback on multiple projects (i.e., holistic approach). In a between-subjects study with 30 freelancers, we compared decomposed and holistic feedback collection approaches using CrowdFolio, a crowd feedback system for portfolios. The holistic approach helped freelancers discover new ways to describe their work, while the decomposed approach provided detailed insight about the visual attractiveness of projects. This study contributes evidence that portfolio feedback systems, regardless of collection approach, can positively support professional development by impacting how freelancers portray themselves online and reflect on their identity.</jats:p>