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Issue No.05 - Sept.-Oct. (2012 vol.16)
pp: 13-19
Robert R. Morris , Massachusetts Institute of Technology
Mira Dontcheva , Advanced Technology Labs, Adobe
Elizabeth M. Gerber , Northwestern University
ABSTRACT
Although microtask platforms are desirable for their speed, scalability, and low cost, task performance varies greatly. Many researchers have focused on improving the quality of the work performed on such platforms. Priming uses implicit mechanisms to induce observable changes in behavior. Although priming has been effective in the laboratory, its use hasn't been explored extensively in software design, perhaps because the effects are often short-lived. In the context of microtask crowdsourcing environments, however, where tasks are short and circumscribed, temporary priming effects can lead to significant performance gains.
INDEX TERMS
Internet, Context, Problem-solving, Laboratories, Scalability, Mood, TV, priming, crowdsourcing, emotion
CITATION
Robert R. Morris, Mira Dontcheva, Elizabeth M. Gerber, "Priming for Better Performance in Microtask Crowdsourcing Environments", IEEE Internet Computing, vol.16, no. 5, pp. 13-19, Sept.-Oct. 2012, doi:10.1109/MIC.2012.68
REFERENCES
1. S. Cooper et al., "Predicting Protein Structures with a Multiplayer Online Game," Nature, vol. 466, no. 7307, 2010, pp. 756–760.
2. A. Kittur, E. Chi, and B. Suh, "Crowdsourcing User Studies With Mechanical Turk," Proc. ACM Conf. Human Factors in Computing Systems (CHI 07), ACM, 2008.
3. M. Bernstein et al., "Soylent: A Word Processor with a Crowd Inside," Proc. 23rd ACM Symp. UIST, ACM, 2010, pp. 313–322.
4. J. Bargh and T.L. Chartrand, "Studying the Mind in the Middle: A Practical Guide to Priming and Automaticity Research," Handbook of Research Methods in Social and Personality Psychology, Cambridge Univ. Press, 2000, pp. 253–285.
5. L.E. Williams and J.A. Bargh, "Experiencing Physical Warmth Promotes Interpersonal Warmth," Science, vol. 322, no. 5901, 2008, pp. 606–607.
6. J. Bargh, M. Chen, and L. Burrows, "Automaticity of Social Behavior: Direct Effects of Trait Construct and Stereotype Activation on Action," J. Personality and Social Psychology, vol. 71, no. 2, 1996, pp. 230–244.
7. J.M. Ackerman, C.C. Nocera, and J.A. Bargh, "Incidental Haptic Sensations Influence Social Judgments and Decisions," Science, vol. 328, no. 5986, 2010, pp. 1712–1715.
8. J.L. Harris, J.A. Bargh, and K.D. Brownell, "Priming Effects of Television Food Advertising on Eating Behavior," Health Psychology, vol. 28, no. 4, 2009, pp. 404–413.
9. N. Valentino, V. Hutchings, and I. White, "Cues That Matter: How Political Ads Prime Racial Attitudes During Campaigns," Am. Political Science Rev., vol. 96, no. 1, 2002, pp. 75–90.
10. A. Erez and A. Isen, "The Influence of Positive Affect on the Components of Expectancy Motivation," J. Applied Psychology, vol. 87, 2002, pp. 1055–1067.
11. S. Lewis, M. Dontcheva, and E. Gerber, "Affective Computational Priming and Creativity," Proc. 2011 Ann. Conf. Human Factors in Computing Systems (CHI 11), ACM, 2011, pp. 735–744.
12. R.R. Morris, M. Dontcheva, and E. Gerber, Using Music-Evoked Affect to Enhance Performance on Microtask Crowdsourcing Platforms, tech. report, vol. 002, Segal Design Inst., Northwestern Univ., 2012.
13. G. Rowe, J.B. Hirsh, and K.A. Anderson, "Positive Affect Increases the Breadth of Attentional Selection," Proc. Nat'l Academy of Sciences of the United States of America, vol. 104, 2007, pp. 383–388.
14. G. Kauffman and S. Vosburg, "Paradoxical Effects of Mood on Creative Problem Solving," Cognition and Emotion, vol. 11, 1997, pp. 151–170.
15. D.O. Hebb, "Drives and the C.N.S. (Conceptual Nervous System)," Psychological Rev., vol. 62, 1955, pp. 243–254.
16. A. Kittur, "Crowdsourcing, Collaboration and Creativity," XRDS — Crossroads: The ACM Magazine for Students, vol. 17, no. 2, Dec. 2010, pp. 22–26.
17. N. Mandel and E.J. Johnson, "When Web Pages Influence Choice: Effects of Visual Primes on Experts and Novices," J. Consumer Research, vol. 29, no. 2, Sept. 2002, pp. 235–245.
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