The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Koala: capture, share, automate, personalize business processes on the web
Abstract
We present Koala, a system that enables users to capture, share, automate, and personalize business processes on the web. Koala is a collaborative programming-by-demonstration system that records, edits, and plays back user interactions as pseudo-natural language scripts that are both human- and machine-interpretable. Unlike previous programming by demonstration systems, Koala leverages sloppy programming that interprets pseudo-natural language instructions (as opposed to formal syntactic statements) in the context of a given web page's elements and actions. Koala scripts are automatically stored in the Koalescence wiki, where a community of users can share, run, and collaboratively develop their "how-to" knowledge. Koala also takes advantage of corporate and personal data stores to automatically generalize and instantiate user-specific data, so that scripts created by one user are automatically personalized for others. Our initial experiences suggest that Koala is surprisingly effective at interpreting instructions originally written for people.
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Cites
Principles of mixed-initiative user interfaces
Horvitz, E. (1999) · Proceedings of the SIGCHI conference on Human factors in computing systems the CHI is the limit - CHI '99 · doi:10.1145/302979.303030 · Cited by 1,490
Cited by
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-citationThe state of the art in end-user software engineering
Ko, A. J., Abraham, R., Beckwith, L., Blackwell, A., Burnett, M., Erwig, M., Scaffidi, C., Lawrance, J., Lieberman, H., Myers, B., et al. (2011) · ACM Computing Surveys · doi:10.1145/1922649.1922658 · Cited by 633
He, B., Patel, M., Zhang, Z., & Chang, K. C.-C. (2007) · Communications of the ACM · doi:10.1145/1230819.1241670 · Cited by 327
CoScripter: automating & sharing how-to knowledge in the enterprise
Leshed, G., Haber, E. M., Matthews, T., & Lau, T. (2008) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1357054.1357323 · Cited by 311
Self-citationFixing the program my computer learned: barriers for end users, challenges for the machine
Kulesza, T., Wong, W.-K., Stumpf, S., Perona, S., White, R., Burnett, M. M., Oberst, I., & Ko, A. J. (2009) · Proceedings of the 14th international conference on Intelligent user interfaces · doi:10.1145/1502650.1502678 · Cited by 83
Metadata
- Authors
- Little, G., Lau, T. A., Cypher, A., Lin, J., Haber, E. M., & Kandogan, E.
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2007-04-29
- Pages
- 943-946
- OpenAlex
- W2107387337
- Cited by
- 162
- References
- 1
- FWCI
- 13.57
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Little, G., Lau, T. A., Cypher, A., Lin, J., Haber, E. M., & Kandogan, E. (2007). Koala: capture, share, automate, personalize business processes on the web. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1240624.1240767
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