English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Traditional employment usually provides mechanisms for workers to improvetheir skills to access better opportunities. However, crowd work platforms likeAmazon Mechanical Turk (AMT) generally do not support skill development (i.e.,becoming faster and better at work). While researchers have started to tacklethis problem, most solutions are dependent on experts or requesters willing tohelp. However, requesters generally lack the necessary knowledge, and expertsare rare and expensive. To further facilitate crowd workers' skill growth, wepresent Crowd Coach, a system that enables workers to receive peer coachingwhile on the job. We conduct a field experiment and real world deployment tostudy Crowd Coach in the wild. Hundreds of workers used Crowd Coach in avariety of tasks, including writing, doing surveys, and labeling images. Wefind that Crowd Coach enhances workers' speed without sacrificing their workquality, especially in audio transcription tasks. We posit that peer coachingsystems hold potential for better supporting crowd workers' skill developmentwhile on the job. We finish with design implications from our research.

Crowd Coach: Peer Coaching for Crowd Workers' Skill Growth