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TextTest++ for text entry experiments and Throughput calculation
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README.md

TextTestPP

TextTest++ for text entry experiments (using the T-seq model) and Throughput calculation

Try it!

This is a project associated with the paper Beyond the Input Stream: Making Text Entry Evaluations More Flexible with Transcription Sequences, with the Transcription Sequence Model (T-seq model). Also the paper Text Entry Throughput: Towards Unifying Speed and Accuracy in a Single Performance Metric for throughput calculation. This platform is used for conducting text entry experiments. The loggin file can be directly plugged into the throughput calculation.

For details about how to use, please go to the page and read the tutorial.

You can also host it offline, and customize the code according to your need.

Algorithms

For algorithm implementations, please refer to main.js.

  • INFER-ACTION algorithm: here

  • Extended Needleman-Wunsch alignment algorithm for deteremining IFc and IFe: here

Code Author

Citation

If you use the code in your paper, then please cite it as:

@inproceedings{Zhang:2019:BIS:3332165.3347922,
 author = {Zhang, Mingrui Ray and Wobbrock, Jacob O.},
 title = {Beyond the Input Stream: Making Text Entry Evaluations More Flexible with Transcription Sequences},
 booktitle = {Proceedings of the 32Nd Annual ACM Symposium on User Interface Software and Technology},
 series = {UIST '19},
 year = {2019},
 isbn = {978-1-4503-6816-2},
 location = {New Orleans, LA, USA},
 pages = {831--842},
 numpages = {12},
 url = {http://doi.acm.org/10.1145/3332165.3347922},
 doi = {10.1145/3332165.3347922},
 acmid = {3347922},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {error rates, input stream, presented string, text entry evaluation, text entry metrics, transcribed string, transcription sequence, words per minute},
} 

For throughput calculation, if you used this platform, please considering cite this:

@inproceedings{mingrui2019tp,
  author    = {Mingrui “Ray” Zhang, Shumin Zhai, Jacob O. Wobbrock.},
  title     = "{Text Entry Throughput: Towards Unifying Speed and Accuracy in a Single Performance Metric.}",
  booktitle = {Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems},
  year      = 2019,
  url 		= {http://doi.acm.org/10.1145/3290605.3300866},
  doi 		= {10.1145/3290605.3300866},
  publisher = {ACM},
  address 	= {New York, NY, USA},
}
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