Gaze-Based Moving Target Acquisition in Real-Time Full Motion Video

被引：8
|
作者：
Hild, Jutta [1 ]
Kuehnle, Christian [1 ]
Beyerer, Juergen [1 ,2 ]
机构：
[1] Fraunhofer Inst Optron Syst Technol & Image Explo, Karlsruhe, Germany
[2] Karlsruhe Inst Technol, Vis & Fus Lab, Karlsruhe, Germany
来源：
2016 ACM SYMPOSIUM ON EYE TRACKING RESEARCH & APPLICATIONS (ETRA 2016) | 2016年
关键词：
expert video analysis; moving target acquisition; input device; gaze input; evaluation; user study;
D O I：
10.1145/2857491.2857525
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Real-time moving target acquisition in full motion video is a challenging task. Mouse input might fail if targets move fast, unpredictably, or are only visible for a short period of time. In this paper, we describe an experiment with expert video analysts (N=26) which perform moving target acquisition by selecting targets in a full motion video sequence presented on a desktop computer. The results show that using gaze input (gaze pointing + manual key press), the participants were able to perform with significantly shorter completion times than with mouse input. Error rates (represented by target misses) and acquisition precision were similar. Subjective ratings of user satisfaction resulted in similar or even better scores for the gaze interaction.
引用
收藏
页码：241 / 244
页数：4
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