Subjective Difficulty Estimation for Interactive Learning by Sensing Vibration Sound on Desk Panel
In this paper, we propose a method which estimates the student’s subjective difficulty with a vibration sound on a desk obtained by a microphone on the back of the desk panel. First, it classifies the student’s behavior into writing and non-writing by analyzing the obtained sound data. Next, the subjective difficulty is estimated based on an assumption that the duration of non-writing behavior becomes long if the student feels difficult because he (or she) would not have progress on answer sheet. As a result, the accuracy of the proposed so simple behavior classification reaches around 80%, and that of the subjective difficulty estimation is 60%.
Keywordssubjective difficulty estimation behavior classification
Unable to display preview. Download preview PDF.
- 3.Okubo, M., Fujimura, A.: Development of Estimation System for Concentrate Situation Using Acceleration Sensor. In: Human-Computer Interaction. New Trends, vol. 5610, pp. 131–140 (2009)Google Scholar
- 4.Lv, H., Lin, Z., Yin, W., Dong, J.: Emotion recognition based on pressure sensor keyboards. In: International Conference on Multimedia and Expo, pp. 1089–1092 (2008)Google Scholar
- 5.Luria, G., Rosenblum, S.: Comparing the handwriting behaviours of true and false writing with computerized handwriting measures. Applied Cognitive Psychology (2009), doi:10.1002/acp.1621Google Scholar
- 6.Harrison, C., Hudson, S.E.: Scratch Input: Creating Large, Inexpensive, Unpowered and Mobile Finger Input Surfaces. In: Symposium on User Interface Software and Technology, pp. 205–208 (2008)Google Scholar
- 7.Nakamura, K., Kakusho, K., Murakami, M., Minoh, M.: Estimating Learners’ Subjective Impressions of the Difficulty of Course Materials in e-Learning Environments. In: APRU 9th Distance Learning and the Internet Conference 2008, pp. 199–206 (2008)Google Scholar