@inproceedings {pub4396pub4720,
	title = {A Mobile Tool that Helps Nonexperts Make Sense of Pretrained CNN by Interacting with Their Daily Surroundings},
	author = {Chao Wang AND Pengcheng An},
	year = {2021},
	abstract = {Convolutional Neural Network(CNN) is widely used for object recognition. However, it is very difficult for a human to understand the mechanism of CNN which is a deep learning algorithm. Class Activation Map is a promising technique to visualize the discriminative image regions used by CNN to identify an object. In this work, we present a mobile- and a web-based interactive game, which can compare human{\textquoteright}s perception of regional information for recognizing an object with CNN{\textquoteright}s. Through this game, people can have an intuitive understanding of the differences between AI and human capability.},
	publisher = {ACM},
	booktitle = {The ACM International Conference on Mobile Human-Computer Interaction}
}