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20172024
most citedQuantifying the Invisible Labor in Crowd Work

88 citations · 120 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.HC2024

A Culturally-Aware Tool for Crowdworkers: Leveraging Chronemics to Support Diverse Work Styles

Carlos Toxtli, Christopher Curtis, Saiph Savage

Crowdsourcing markets are expanding worldwide, but often feature standardized interfaces that ignore the cultural diversity of their workers, negatively impacting their well-being…

cs.HC2021★ 88 cited

Quantifying the Invisible Labor in Crowd Work

Carlos Toxtli, Siddharth Suri, Saiph Savage

Crowdsourcing markets provide workers with a centralized place to find paid work. What may not be obvious at first glance is that, in addition to the work they do for pay, crowd wo…

cs.HC2020★ 16 cited

Reputation Agent: Prompting Fair Reviews in Gig Markets

Carlos Toxtli, Angela Richmond-Fuller, Saiph Savage

Our study presents a new tool, Reputation Agent, to promote fairer reviews from requesters (employers or customers) on gig markets. Unfair reviews, created when requesters consider…

cs.HC2020★ 16 cited

Becoming the Super Turker: Increasing Wages via a Strategy from High Earning Workers

Saiph Savage, Chun-Wei Chiang, Susumu Saito +2

Crowd markets have traditionally limited workers by not providing transparency information concerning which tasks pay fairly or which requesters are unreliable. Researchers believe…

cs.HC2018

Understanding Chatbot-mediated Task Management

Carlos Toxtli, Andrés Monroy-Hernández, Justin Cranshaw

Effective task management is essential to successful team collaboration. While the past decade has seen considerable innovation in systems that track and manage group tasks, these…