Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis

This repository will contain the model code and the experimental framework for "Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis" by Eldon Schoop, Xin Zhou, Gang Li, Zhourong Chen, Bjoern Hartmann and Yang Li, which is to appear in CHI 2022.

The dataset used by the paper will be released at https://github.com/google-research-datasets/taperception.

BibTex for citation:

@InProceedings{taperception,
  title     = "Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis",
  booktitle = "Proceedings of the 2022 {CHI} Conference on Human Factors in
               Computing Systems",
  author    = "Schoop, Eldon and Zhou, Xin and Li, Gang and Chen, Zhourong and
               Hartmann, Bjoern and and Li, Yang",
  publisher = "Association for Computing Machinery",
  pages     = "1--13",
  month     =  may,
  year      =  2022,
  address   = "New Orleans, LA, USA",
  url = {https://doi.org/10.1145/3491102.3502042}
}