Smart survey tool: A multi device platform for museum visitor tracking and tracking data visualization

Paul Craig, Yiwen Wang, Joon Sik Kim, Gang Chen, Yu Liu, Jiabei Li, Zhiqiang Gao, Gao Du

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

This paper describes the Smart Survey Tool, a novel multi-device application for museum visitor tracking and tracking data visualization. The application allows museum staff to capture detailed information describing how visitors move around an exhibition and interact with individual exhibits. They can then visualize the results of tracking either on a single mobile device or with multiple mobile devices connected to a large display. The platform uses orthogonal views of the exhibition space for tracking and visualization, with a chess-piece icon to represent visitors during tracking, and curved semi-transparent lines with animated semi-circles to communicate the path and direction of visitor movement. Our visualization is novel in its use of an orthogonal projection for pedestrian tracking and animation to communicate the flow of visitors around the exhibition space, as well as allowing users to dynamically switch between views representing different groups of visitors. The design of our application was informed through an extensive requirements analysis study conducted with Nanjing Museum and evaluated by conducting expert interviews with museum managers who considered that the application allowed for more effective and efficient recording and analysis of visitor tracking data.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE Pacific Visualization Symposium, PacificVis 2019
PublisherIEEE Computer Society
Pages267-276
Number of pages10
ISBN (Electronic)9781538692264
DOIs
Publication statusPublished - Apr 2019
Event12th IEEE Pacific Visualization Symposium, PacificVis 2019 - Bangkok, Thailand
Duration: 23 Apr 201926 Apr 2019

Publication series

NameIEEE Pacific Visualization Symposium
Volume2019-April
ISSN (Print)2165-8765
ISSN (Electronic)2165-8773

Conference

Conference12th IEEE Pacific Visualization Symposium, PacificVis 2019
Country/TerritoryThailand
CityBangkok
Period23/04/1926/04/19

Keywords

  • Human-centered computing
  • Information visualization
  • Visualization
  • Visualization application domains

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