/virtual_chinrest

JavaScript plug-in, data, and analysis code for Scientific Reports submission: Controlling for Participants’ Viewing Distance in Large-Scale, Psychophysical Online Experiments Using a Virtual Chinrest

Primary LanguageJupyter Notebook

The Virtual Chinrest

JavaScript plug-in, data, and analysis code for Scientific Reports submission: Controlling for Participants’ Viewing Distance in Large-Scale,Psychophysical Online Experiments Using a Virtual Chinrest

Citation

If you are interested in this work, please see our research paper on Scientific Reports and consider citing our work:

@article{Li2020,
  doi = {10.1038/s41598-019-57204-1},
  url = {https://doi.org/10.1038/s41598-019-57204-1},
  year = {2020},
  month = jan,
  publisher = {Springer Science and Business Media {LLC}},
  volume = {10},
  number = {1},
  author = {Qisheng Li and Sung Jun Joo and Jason D. Yeatman and Katharina Reinecke},
  title = {Controlling for Participants' Viewing Distance in Large-Scale,  Psychophysical Online Experiments Using a Virtual Chinrest},
  journal = {Scientific Reports}
}

Contact

Please feel free to email Qisheng (liqs@cs.washington.edu) if you have any questions regarding the research paper and the JavaScript library.