Activity Inference for Constructing User Intention Model

Myunggwon Hwang1, Do-Heon Jeong1, Jinhyung Kim1, Sa-kwang Song1 and Hanmin Jung1

  1. Korea Institute of Science and Technology Information (KISTI)
    Daejeon, Republic of Korea
    {mgh, heon, jinhyung, esmallj, jhm}


User intention modeling is a key component for providing appropriate services within ubiquitous and pervasive computing environments. Intention modeling should be concentrated on inferring user activities based on the objects a user approaches or touches. In order to support this kind of modeling, we propose the creation of object´┐Żactivity pairs based on relatedness in a general domain. In this paper, we show our method for achieving this and evaluate its effectiveness.

Key words

Ubiquitous and pervasive computing, context awareness, user intention modeling, lexical cohesion

Digital Object Identifier (DOI)

Publication information

Volume 10, Issue 2 (April 2013)
Special Issue on Advances on Mobile Collaborative Systems
Year of Publication: 2013
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Hwang, M., Jeong, D., Kim, J., Song, S., Jung, H.: Activity Inference for Constructing User Intention Model. Computer Science and Information Systems, Vol. 10, No. 2, 767-778. (2013)