Inferring user action with mobile gaze tracking

被引：0
|
作者：
Toivanen, Miika [1 ]
Puolamaki, Kai [1 ]
Lukander, Kristian [1 ]
Hakkinen, Jukka [2 ]
Radun, Jenni [2 ]
机构：
[1] Finnish Inst Occupat Hlth, POB 40, FI-00251 Helsinki, Finland
[2] Univ Helsinki, Inst Behav Sci, Helsinki, Finland
来源：
PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION WITH MOBILE DEVICES AND SERVICES (MOBILEHCI 2016) | 2016年
基金：
芬兰科学院;
关键词：
Mobile gaze tracking; action inference; behavioral analysis; machine learning; natural environments; gaze tracking algorithms; augmented reality; virtual reality;
D O I：
10.1145/2957265.2965016
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Gaze tracking in psychological, cognitive, and user interaction studies has recently evolved toward mobile solutions, as they enable direct assessing of users' visual attention in natural environments, and augmented and virtual reality (AR/VR) applications. Productive approaches in analyzing and predicting user actions with gaze data require a multidisciplinary approach with experts in cognitive and behavioral sciences, machine vision, and machine learning. This workshop brings together a cross-domain group of individuals to (i) discuss and contribute to the problem of using mobile gaze tracking for inferring user action, (ii) advance the sharing of data and analysis algorithms as well as device solutions, and (iii) increase understanding of behavioral aspects of gaze-action sequences in natural environments and AR/VR applications.
引用
收藏
页码：1026 / 1028
页数：3
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