Integrating signals for reasoning about visitors' behavior in cultural heritage

Tsvi Kuflik, Eyal Dim

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


This chapter presents and discusses the application of advanced, mobile and stationary technology for reasoning about visitors' behavior in cultural heritage sites. While museums are large indoors spaces, like shopping malls and different public buildings, they have unique characteristics. Visiting them is a leisure activity; people come as individuals and groups for different reasons. Museums study their visitors in order to provide them a better experience. While traditional museum studies involved manual observations and visitors tracking, nowadays technology enables one to do that automatically and non-obtrusively. However, while multimodal raw data can easily be gathered, reasoning about it and interpreting it has become a maor challenge. This chapter reviews some recent studies and techniques used for automatic tracking museum visitors and discusses how measured signals were fused and interpreted, and it suggests what may be done as mobile, wearable technology becomes a commodity.

Original languageAmerican English
Title of host publicationMultimodal Behavior Analysis in the Wild
Subtitle of host publicationAdvances and Challenges.
Number of pages11
ISBN (Electronic)9780128146026
ISBN (Print)9780128146019
StatePublished - 16 Nov 2018


  • Context awareness
  • Museum visitors guide
  • Social signal processing

All Science Journal Classification (ASJC) codes

  • General Computer Science


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