A Mixed Reality Museum Guide: The Challenges and its Realization

  • Werner Hartmann
  • , Michael Haller
  • , Kalle Huhtala
  • , Marjaana Träskbäck
  • , Jose Luis Los Arcos
  • , Daniel F. Abawi

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

Abstract

Mixed Reality (MR) is an enabling technology for a much more interactive and intuitive experience of museum exhibits, that allows museum visitors to interact with pieces of art, without using complex virtual interaction metaphors. But MR applications for the museum domain must cope with a complex area of conflicts, which covers user acceptance, usability, copyright issues and technical feasibility. This paper describes the whole development process of a MR museum guide application for the Guggenheim Museum of contemporary art in Bilbao. An authoring-based production process, tailored to the specific requirements of MR is proposed, and its utilization for the realization of the Guggenheim MR museum guide is described. The presented authoring process is based on the AMIRE toolset, which comprises a set of tools to support the MR specific authoring tasks for authors who are not familiar with MR methodologies. The conventional programming based development process of MR applications is compared with the concepts proposed in this paper, in terms of cost efficiency, development time and maintainability. The problems arisen during the production process, discovered pitfalls and their mitigation are documented and discussed. These lessons learned during the production of the application found a basis for a set of “best practices” for authoring MR applications, especially when applying the MR technology to explore art exhibits.
Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Virtual Systems and Multimedia (VSMM2004) Softopia, Ogaki City, Japan
Editors H. Thwaites
Place of PublicationAmsterdam
PublisherIOSPress
Number of pages10
ISBN (Print)1-58603-481-2
Publication statusPublished - 2004

Fields of science

  • 102001 Artificial intelligence
  • 102006 Computer supported cooperative work (CSCW)
  • 102010 Database systems
  • 102014 Information design
  • 102015 Information systems
  • 102016 IT security
  • 102028 Knowledge engineering
  • 102019 Machine learning
  • 102022 Software development
  • 102025 Distributed systems
  • 502007 E-commerce
  • 505002 Data protection
  • 506002 E-government
  • 509018 Knowledge management
  • 202007 Computer integrated manufacturing (CIM)
  • 102033 Data mining
  • 102035 Data science

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