Estimation of interruptibility during office work based on PC activity and conversation

Authors:
Satoshi Hashimoto;Takahiro Tanaka;Kazuaki Aoki;Kinya Fujita
Affiliations:
Graduate School, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan;Graduate School, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan;Graduate School, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan;Graduate School, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan
Venue:
HCI'13 Proceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction for learning, culture, collaboration and business - Volume Part III
Year:
2013

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Abstract

The chances of being interrupted by online communication systems, such as email, instant messenger, and micro-blog, are rapidly increasing. For the adequate control of interruption timing, the real-time estimation of the interruptibility of the user is required. In this study, we propose an interruptibility estimation method using PC activity and conversational voice detection based on the wavelet transform. The offline estimation was applied to a dataset of 50 hours obtained from 10 users. The results indicated the feasibility of improving the interruptibility estimation accuracy by the automatic detection of the existence and end of conversations.