Exploiting eye gaze information for operating services in home network system
Ubiquitous Computing Systems: Third International Symposium, UCS 2006, Seoul …, 2006•Springer
This paper presents a system which extensively exploits user's eye gaze information for
operating services and appliances in the emerging home network system (HNS). We design
and implement the system called AXELLA, which captures user's gaze, then invokes a
service operation, and finally announces the response via voice. AXELLA interprets the
gaze information together with supplementary information as a gaze context, and triggers a
service module associated by a service rule. Thus, a simple gazing activity can be used for …
operating services and appliances in the emerging home network system (HNS). We design
and implement the system called AXELLA, which captures user's gaze, then invokes a
service operation, and finally announces the response via voice. AXELLA interprets the
gaze information together with supplementary information as a gaze context, and triggers a
service module associated by a service rule. Thus, a simple gazing activity can be used for …
Abstract
This paper presents a system which extensively exploits user’s eye gaze information for operating services and appliances in the emerging home network system (HNS). We design and implement the system called AXELLA, which captures user’s gaze, then invokes a service operation, and finally announces the response via voice. AXELLA interprets the gaze information together with supplementary information as a gaze context, and triggers a service module associated by a service rule. Thus, a simple gazing activity can be used for various service operations. Service developers (or even home users) can easily develop context-aware HNS services with the eye-gaze-based UI. We demonstrate a practical service called “See and Know” implemented using AXELLA, where a user can acquire the current status information of every appliance just by looking at the appliance. It was shown that the proposed system can reduce the artificial dependency significantly with respect to ease-of-learning and system scalability.
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