Crowdsourcing GO: Effect of Worker Situation on Mobile Crowdsourcing Performance
summary
This paper studies how mobile crowdsourcing workers' situations—busyness, fatigue, and being with companions—affect task acceptance, completion rate, price, and quality on mobile platforms. Using a three-week between-subjects field experiment, the authors find busyness reduces task completion rate by 30.1%, companions correlate with a 7.6% higher accepted task price, and fatigue reduces task quality by 37.4%.
AI-written summary · about
chapters (4)
- 0:00Introduction
- 5:21Device impact on productivity
- 12:37Experiment design and findings
- 17:21Performance differences
related talks
05mA Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the ...
06mCrowdAct: Achieving High-Quality Crowdsourced Datasets in Mobile Activity Recognition
25mCrowdsourcing platform engineering
20mBoomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms
06mUnderstanding User Contexts and Coping Strategies for Context-aware Phone Distraction Management ...
33mThe Wisdom of Crowds: Crowdsourcing Minimalism in an Open Organization
01h 21mSoftware Development - Mob Programming, Pair Programming or Fly Solo?
15mTalent in the Sharing Economy
