Attention monitoring for music contents based on analysis of signal-behavior structures

Abstract

In this paper, we propose a method to estimate user attention to displayed content signals with temporal analysis of their exhibited behavior. Detecting user attention and controlling contents are key issues in our "networked interaction therapy system" that effectively attracts the attention of memory-impaired people. In our proposed method, user behavior, including body motions (beat actions), is detected with auditory/vision-based methods. This design is based on our observations of the behavior of memory-impaired people under video watching conditions. User attention to the displayed content is then estimated based on body motions synchronized to auditorial signals. Estimated attention levels can be used for content control to attract deeper attention of viewers to the display system. Experimental results suggest that the proposed method effectively extracts user attention to musical signals. © Springer-Verlag Berlin Heidelberg 2007.