计算机科学
BitTorrent跟踪器
许可证
眼动
软件
仿形(计算机编程)
多媒体
点(几何)
互联网
跟踪系统
跟踪(教育)
人机交互
源代码
万维网
人工智能
操作系统
心理学
教育学
几何学
数学
卡尔曼滤波器
作者
Anna Wolters,Arnold F. Arz von Straussenburg,Dennis M. Riehle
出处
期刊:Proceedings of the ... Annual Hawaii International Conference on System Sciences
日期:2024-01-01
被引量:3
标识
DOI:10.24251/hicss.2023.825
摘要
Building the Internet of Behaviors (IOB) obviously requires capturing human behavior. Sensor input from eye tracking has been widely used for profiling in market research, adaptive user interfaces, and other smart systems, but requires dedicated hardware. The wide spread of webcams in consumer devices like phones, tablets, notebooks, and smart TVs has fostered eye tracking with commodity cameras. In this paper, we present a systematic review across the IEEE and ACM databases -- complemented by snowballing and input from eye tracking experts at CHI 2021 -- to list and characterize publicly available webcam eye trackers that estimate the point-of-regard on devices with no additional hardware. Information from articles was supplemented by searching author websites and code repositories, and contacting authors. 16 eye trackers were found that can be used. The restrictions regarding license terms and technical performance are presented, enabling developers to choose an appropriate software for their IoB application.
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