Inserting micro-breaks into crowdsourcing workflows

AAAI Workshop - Technical Report

Volumn WS-13-18, Issue , 2013, Pages 62-63

  Rzeszotarski, Jeffrey M ^a,b   Chi, Ed ^a   Paritosh, Praveen ^a   Dai, Peng ^a  

^a GOOGLE INC   (United States)

^b Human Computer Interaction Institute Carnegie Mellon University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMAZON'S MECHANICAL TURKS; CROWDSOURCING; HUMAN COMPUTATION; LONG SEQUENCES; RETENTION RATE; WORK QUALITY; WORK-FLOWS; WORKING HOURS;

EID: 84899582632     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Bernstein, M.S., Little, G., Miller, R.C., et al. 2010. Soylent: a word processor with a crowd inside. In Proc. UIST '10, 313-322.
2. Callison-Burch, C. Fast, cheap, and creative: Evaluating translation quality using Amazon's Mechanical Turk. 2009. In Proc. Conference on Empirical Methods in NLP, 286-295.
3. Dai, P., Mausam, and Weld, S. 2010. Decision-theoretic control of crowd-sourced workflows. In Proc. AIII '10.
4. Henning, R., Sauter, S., Salvendy, G., and Kreig, E. 1989. Microbreak length, performance, and stress in a data entry task. Ergonomics 32, 7, 855-864. (Pubitemid 19232567)
5. Krueger, G. 1989. Sustained work, fatigue, sleep loss and performance: A review of the issues. Work & Stress 3,2,129-141. (Pubitemid 19178483)
6. Wylie, G. and Allport, A. 2000. Task switching and the measurement of "switch costs". Psychological research 63, 3-4.