Human Gaze Assisted Artificial Intelligence: A Review
Abstract
Human gaze reveals a wealth of information about internal cognitive state. Thus, gaze-related research has significantly increased in computer vision, natural language processing, decision learning, and robotics in recent years. We provide a high-level overview of the research efforts in these fields, including collecting human gaze data sets, modeling gaze behaviors, and utilizing gaze information in various applications, with the goal of enhancing communication between these research areas. We discuss future challenges and potential applications that work towards a common goal of human-centered artificial intelligence.
Cite
Text
Zhang et al. "Human Gaze Assisted Artificial Intelligence: A Review." International Joint Conference on Artificial Intelligence, 2020. doi:10.24963/IJCAI.2020/689Markdown
[Zhang et al. "Human Gaze Assisted Artificial Intelligence: A Review." International Joint Conference on Artificial Intelligence, 2020.](https://mlanthology.org/ijcai/2020/zhang2020ijcai-human/) doi:10.24963/IJCAI.2020/689BibTeX
@inproceedings{zhang2020ijcai-human,
title = {{Human Gaze Assisted Artificial Intelligence: A Review}},
author = {Zhang, Ruohan and Saran, Akanksha and Liu, Bo and Zhu, Yifeng and Guo, Sihang and Niekum, Scott and Ballard, Dana H. and Hayhoe, Mary M.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2020},
pages = {4951-4958},
doi = {10.24963/IJCAI.2020/689},
url = {https://mlanthology.org/ijcai/2020/zhang2020ijcai-human/}
}