katherine-h / human_shape_texture_study

human_shape_texture_study

These scripts underlie an in-progress human behavioral experiment being conducted by Katherine Hermann (Stanford University) and Chaz Firestone (Johns Hopkins University).

Setup

• To enable running experiment, add a directory named jsPsych containing jsPsych==6.3.0 files (available at https://www.jspsych.org [1]) to experiment/js/.

• To enable running tests (written in Jest), navigate to generate_experiment_specs, install Node and npm, and run npm install. To run tests: npm test.

• To support running the experiment with the "gst" images, copy the stimuli from https://github.com/rgeirhos/texture-vs-shape (do not preserve the subdirectory structure).

• Gst scramble masks are available upon request.

Experiment

The main experiment script (experiment/main.html) supports 2 stimulus sets and 3 mask types, for a total of 6 possible experiments.

• Set the stimCondition to "gst" (Geirhos Style Transfer images) or "baker" (Baker images).

• Set the maskCondition to "pinknoise", "scramble" (scramble masks; will use scrambles corresponding to the stimCondition), or "nomask" (shows a red fixation cross during the response period).

• If running as experiment, replace redirectUrl with a valid Prolific study url.

Images

Baker images and scramble masks were generated from materials provided by Nicholas Baker [2], and are included here by permission of authors.

Geirhos Style Transfer images are from [3].

References

[1] De Leeuw, J. R. (2015). jsPsych: A JavaScript library for creating behavioral experiments in a Web browser. Behavior research methods, 47(1), 1-12.

[2] Baker, N., Lu, H., Erlikhman, G., & Kellman, P. J. (2018). Deep convolutional networks do not classify based on global object shape. PLoS computational biology, 14(12), e1006613.

[3] Geirhos, R., Rubisch, P., Michaelis, C., Bethge, M., Wichmann, F. A., & Brendel, W. (2018). ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. arXiv preprint arXiv:1811.12231.