移动设备交互环境下的注视点感知计算方法

为了提高移动设备上眼动跟踪的精度和效率、降低硬件成本,提出基于注视点回忆的眼动数据感知计算方法.首先利用人的短时记忆特性建立注视点回忆和自我报告机制,要求用户点击移动设备屏幕来提交注视点位置数据;然后基于支持向量回归方法建立注视点数据误差补偿模型,对用户回忆和提交的注视点数据进行校正,进一步提高数据精度.为了验证数据误差补偿模型的效果,设计并开展了用户实验,结果表明,使用数据误差补偿模型后,对于不同类型的测试任务和测试图片,注视点回忆数据精度提高15%～40%.

Gaze Perception and Computation Method in the Environment of Mobile Device Interaction

To improve the accuracy and efficiency of eye tracking on mobile device,and to reduce the cost of hardware,an eye movement data perception and computing method based on gaze recall was proposed.Firstly,setup the mechanism of gaze recall and self reporting based on short-term memory of human being,and then asked users to tap the screen of mobile device,and submit the gaze position data.Proposed the model of gaze data error compensation based on support vector regression,and used this model to correct the gaze data users recalled and submitted,so as to improve the data accuracy.To validate the gaze data error compensation model,user study was designed and conducted,and the results showed that after using the gaze data error compensation model,for different test tasks and images,accuracy of the gaze recalled data was improved by 15 % to 40 %.