IJCAI 2020poster0 citations
Human Gaze Assisted Artificial Intelligence: A Review
Ruohan Zhang, Akanksha Saran, Bo Liu, Yifeng Zhu, Sihang Guo, Scott Niekum, Dana Ballard, Mary Hayhoe
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.
Human aspects in AI: generalMachine Learning: generalVision: general
BibTeX
@inproceedings{ijcai2020p689,
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 and Hayhoe, Mary},
booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-20}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Christian Bessiere},
pages = {4951--4958},
year = {2020},
month = {7},
note = {Survey track},
doi = {10.24963/ijcai.2020/689},
url = {https://doi.org/10.24963/ijcai.2020/689},
}