3D Attention Estimation Associated with Eye Movement for Unnoticed Behavior

Abstract

In recent years, the participation of robots in human society has become more practical. In order for robots to adapt to the society, we think that robots should not interfere with human activities. Human attention is one of the factors to estimate human intention so that robots can work unnoticed from people. Since humans visually tend to obtain the surrounding information, human attention distribution can be determined by analyzing eyes’movements. Then, Avoiding the estimated human attention distribution could contribute to the unnoticed behavior. In this paper, we proposed a method for estimating human attention distribution in three dimensions. The parameters of the proposed method include the idea that the spread of human attention distribution varies depending on the speed of the gaze shifting．An experiment was conducted to verify the calculated values of 3D Attention in places that the subject unnoticed. The results suggested that the proposed method can identify locations that are difficult to notice.