Effective appliance selection by complementary context feeding in smart home system

Taek Lee, Jiyong Park, Hoh In

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Smart Home System (SHS) is one of popular applications in ubiquitous computing, which provides convenient services for a user with userfriendly intelligent system interfaces. Among them, voice recognition is a popular interface. However, voice command statements given by users are often too unclear and incomplete for the devices in SHS to understand the original user intention. So, the devices become complicated and have no idea about whether to work or not. Therefore, we should make sure the proximate selection for the devices which will be eventually targeted and operated following user intention. In this paper, we propose an effective method to make a decision in electing a promising target device among candidates by taking advantage of complementary context feeding around user environment in SHS even with initial incomplete interface information. The proposed method is based on Bayes theorem using the way of empirical statistic inference.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages233-242
Number of pages10
Volume4761 LNCS
Publication statusPublished - 2007 Dec 1
Event5th IFIP WG 10.2 International Workshop on Software Technologies for Embedded and Ubiquitous Systems, SEUS 2007 - Santorini Island, Greece
Duration: 2007 May 72007 May 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4761 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other5th IFIP WG 10.2 International Workshop on Software Technologies for Embedded and Ubiquitous Systems, SEUS 2007
CountryGreece
CitySantorini Island
Period07/5/707/5/8

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Keywords

  • Bayes theorem
  • HCI
  • Situation-aware computing
  • Smart home

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Lee, T., Park, J., & In, H. (2007). Effective appliance selection by complementary context feeding in smart home system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4761 LNCS, pp. 233-242). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4761 LNCS).