CrowdFolio: Understanding How Holistic and Decomposed Workflows Influence Feedback on Online Portfolios

要旨

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.

著者
Eureka Foong
University of Tokyo, Tokyo, Japan
Joy O. Kim
Adobe Research, San Francisco, California, United States
Mira Dontcheva
Adobe Research, Seattle, Washington, United States
Elizabeth Gerber
Northwestern University, Evanston, Illinois, United States
論文URL

https://doi.org/10.1145/3449096

動画

会議: CSCW2021

The 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing

セッション: Crowds and Collaboration

Papers Room D
8 件の発表
2021-10-26 20:30:00
2021-10-26 22:00:00