The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Crowds in two seconds: enabling realtime crowd-powered interfaces
Open accessAbstract
Interactive systems must respond to user input within seconds. Therefore, to create realtime crowd-powered interfaces, we need to dramatically lower crowd latency. In this paper, we introduce the use of synchronous crowds for on-demand, realtime crowdsourcing. With synchronous crowds, systems can dynamically adapt tasks by leveraging the fact that workers are present at the same time. We develop techniques that recruit synchronous crowds in two seconds and use them to execute complex search tasks in ten seconds. The first technique, the retainer model, pays workers a small wage to wait and respond quickly when asked. We offer empirically derived guidelines for a retainer system that is low-cost and produces on-demand crowds in two seconds. Our second technique, rapid refinement, observes early signs of agreement in synchronous crowds and dynamically narrows the search space to focus on promising directions. This approach produces results that, on average, are of more reliable quality and arrive faster than the fastest crowd member working alone. To explore benefits and limitations of these techniques for interaction, we present three applications: Adrenaline, a crowd-powered camera where workers quickly filter a short video down to the best single moment for a photo; and Puppeteer and A|B, which examine creative generation tasks, communication with workers, and low-latency voting.
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Cites
Rational choice and the structure of the environment.
Simon, H. A. (1956) · Psychological Review · doi:10.1037/h0042769 · Cited by 5,919
Conducting behavioral research on Amazon’s Mechanical Turk
Mason, W., & Suri, S. (2012) · Behavior Research Methods · doi:10.3758/s13428-011-0124-6 · Cited by 3,172
Soylent: a word processor with a crowd inside
Bernstein, M. S., Little, G., Miller, R. C., Hartmann, B., Ackerman, M. S., Karger, D. R., Crowell, D., & Panovich, K. (2010) · Proceedings of the 23nd annual ACM symposium on User interface software and technology · doi:10.1145/1866029.1866078 · Cited by 686
Self-citationVizWiz: nearly real-time answers to visual questions
Bigham, J. P., Jayant, C., Ji, H., Little, G., Miller, A., Miller, R. C., Miller, R., Tatarowicz, A., White, B., White, S., et al. (2010) · Proceedings of the 23nd annual ACM symposium on User interface software and technology · doi:10.1145/1866029.1866080 · Cited by 601
Self-citationUtility of human-computer interactions: toward a science of preference measurement
Toomim, M., Kriplean, T., Pörtner, C., & Landay, J. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979277 · Cited by 64
Cited by
Kittur, A., Nickerson, J. V., Bernstein, M., Gerber, E., Shaw, A., Zimmerman, J., Lease, M., & Horton, J. (2013) · Proceedings of the 2013 conference on Computer supported cooperative work · doi:10.1145/2441776.2441923 · Cited by 1,034
Self-citationThe cultural work of microwork
Irani, L. (2015) · New Media & Society · doi:10.1177/1461444813511926 · Cited by 568
Morris, R. R., Schueller, S. M., & Picard, R. W. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4167 · Cited by 206
VizLens: A Robust and Interactive Screen Reader for Interfaces in the Real World
Guo, A., Chen, X. '., Qi, H., White, S., Ghosh, S., Asakawa, C., & Bigham, J. P. (2016) · Proceedings of the 29th Annual Symposium on User Interface Software and Technology · doi:10.1145/2984511.2984518 · Cited by 99
Twitch crowdsourcing: crowd contributions in short bursts of time
Vaish, R., Wyngarden, K., Chen, J., Cheung, B., & Bernstein, M. S. (2014) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2556996 · Cited by 95
Self-citation“Automatic spontaneous speech grading: a novel feature derivation technique using the crowd,”
Shashidhar, V., Pandey, N., & Aggarwal, V. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · doi:10.3115/v1/p15-1105 · Cited by 24
Metadata
- Authors
- Bernstein, M. S., Brandt, J., Miller, R. C., & Karger, D. R.
- Venue
- Proceedings of the 24th annual ACM symposium on User interface software and technology
- Publisher
- ACM
- Published
- 2011-10-16
- Pages
- 33-42
- OpenAlex
- W2036625304
- Cited by
- 302
- References
- 5
- FWCI
- 29.76
- Type
- conference paper
- Language
- en
- Open access
- green
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