Estimating human interruptibility in the home for remote communication
Yoshinao Takemae, Takehiko Ohno, Ikuo Yoda, Shinji Ozawa · 2006
This paper presents a method for automatically estimating human interruptibility in home environments. To make online remote communication smoother, determining if it is appropriate to interrupt the remote partner is critical. As a first step in achieving this goal, several audio-visual features, extracted from data streams provided by a camera and a microphone, are correlated to human interruptibility. Based on these features, the level of interruptibility is estimated using the trained Support Vector Regression (SVR) technique. Finally, we discuss the potential of our method based on the results of several experiments.