Human Gaze Assisted Artificial Intelligence: A Review
Human Gaze Assisted Artificial Intelligence: A Review
复制标题
DOI：
10.24963/ijcai.2020/689
复制
发表时间：
2020-07
期刊：
影响因子：
--
通讯作者：
Ruohan Zhang;Akanksha Saran;Bo Liu-;Yifeng Zhu;Sihang Guo;S. Niekum;D. Ballard;M. Hayhoe
中科院分区：
文献类型：
--
作者：
Ruohan Zhang;Akanksha Saran;Bo Liu-;Yifeng Zhu;Sihang Guo;S. Niekum;D. Ballard;M. Hayhoe
人类的凝视揭示了关于内在认知状态的丰富信息。因此，近年来，计算机视觉、自然语言处理、决策学习和机器人学中与凝视相关的研究显著增加。我们对这些领域的研究工作进行了高层次的综述，包括收集人类凝视数据集，建模凝视行为，以及在各种应用中利用凝视信息，目的是加强这些研究领域之间的沟通。我们讨论了未来的挑战和潜在的应用，这些挑战和潜在的应用将朝着以人为中心的人工智能的共同目标努力。
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.