What are visitors up to? Helping museum facilitators know what visitors are doing

Vishesh Kumar, Mike Tissenbaum, Matthew Berland

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

Abstract

In this paper, we describe a tablet application designed around an interactive game-based science museum exhibit. It is aimed to help provide museum docents useful information about the visitors' actions, in a way that is actionable, and enables docents to provide assistance and prompts to visitors that are more meaningful, compared to what they are typically able to do without this interface augmentation.

Original languageEnglish (US)
Title of host publicationLAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference
Subtitle of host publicationUnderstanding, Informing and Improving Learning with Data
PublisherAssociation for Computing Machinery
Pages558-559
Number of pages2
ISBN (Electronic)9781450348706
DOIs
StatePublished - Mar 13 2017
Externally publishedYes
Event7th International Conference on Learning Analytics and Knowledge, LAK 2017 - Vancouver, Canada
Duration: Mar 13 2017Mar 17 2017

Publication series

NameACM International Conference Proceeding Series

Other

Other7th International Conference on Learning Analytics and Knowledge, LAK 2017
CountryCanada
CityVancouver
Period3/13/173/17/17

Keywords

  • Engineering
  • Markov models
  • Museum
  • Real-time analysis
  • Scaffolding
  • Tablet
  • Tinkering

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Kumar, V., Tissenbaum, M., & Berland, M. (2017). What are visitors up to? Helping museum facilitators know what visitors are doing. In LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data (pp. 558-559). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3027385.3029456