TTI model: Model extracting individual's curiosity level in urban spaces

Chihiro Sato, Shigeyuki Takeuchi, Takuo Imbe, Shuichi Ishibashi, Masahiko Inami, Masa Inakage, Naohito Okude

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

4 Citations (Scopus)

Abstract

Recommendation systems have become widespread, however these systems only determine information inputted from the customers through a browser, and cannot be used when actually moving around outside. This paper presents TTI Model, a model extracting individual's curiosity level in urban spaces on their spare time by collecting behavior data from sensors. It calculates person's real time curiosity level by analyzing behavior depending on the walking speed within the city, such as window shopping or just hanging around by themselves. This paper evaluates this model with a sensor device prototype, and elaborates possibilities when understanding individuals in detail, by extracting the curiosity predicted from current behaviors using sensors.

Original languageEnglish
Title of host publicationDIS 2010 - Proceedings of the 8th ACM Conference on Designing Interactive Systems
Pages352-355
Number of pages4
DOIs
Publication statusPublished - 2010 Nov 15
Event8th ACM Conference on Designing Interactive Systems, DIS 2010 - Aarhus, Denmark
Duration: 2010 Aug 162010 Aug 20

Publication series

NameDIS 2010 - Proceedings of the 8th ACM Conference on Designing Interactive Systems

Other

Other8th ACM Conference on Designing Interactive Systems, DIS 2010
CountryDenmark
CityAarhus
Period10/8/1610/8/20

Keywords

  • Bayesian Networks
  • curiosity
  • urban experience
  • user analysis

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

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