Human Gaze Assisted Artificial Intelligence: A Review.

Ruohan Zhang, Akanksha Saran, Bo Liu, Yifeng Zhu, Sihang Guo, Scott Niekum, Dana Ballard, Mary Hayhoe
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引用次数: 43

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.

人类凝视辅助人工智能:综述。
人类的凝视揭示了关于内部认知状态的丰富信息。因此,近年来,与凝视相关的研究在计算机视觉、自然语言处理、决策学习和机器人领域显著增加。我们对这些领域的研究工作进行了高层次的概述,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,以实现以人为中心的人工智能的共同目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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