An augmented reality interface to contextual information

  • Authors:

  • Antti Ajanki;Mark Billinghurst;Hannes Gamper;Toni Järvenpää;Melih Kandemir;Samuel Kaski;Markus Koskela;Mikko Kurimo;Jorma Laaksonen;Kai Puolamäki;Teemu Ruokolainen;Timo Tossavainen

  • Affiliations:

  • Aalto University, Department of Information and Computer Science, Espoo, Finland;University of Canterbury, The Human Interface Technology Laboratory New Zealand (HIT Lab NZ), Christchurch, New Zealand;Aalto University, Department of Media Technology, Espoo, Finland;Nokia Research Center, Tampere, Finland;Aalto University, Department of Information and Computer Science, Espoo, Finland;Helsinki Institute for Information Technology HIIT, Aalto University and University of Helsinki, Helsinki, Finland;Aalto University, Department of Information and Computer Science, Espoo, Finland;Aalto University, Department of Information and Computer Science, Espoo, Finland;Aalto University, Department of Information and Computer Science, Espoo, Finland;Aalto University, Department of Media Technology, Espoo, Finland;Aalto University, Department of Information and Computer Science, Espoo, Finland;Aalto University, Department of Media Technology, Espoo, Finland

  • Venue:
  • Virtual Reality - Special Issue on Augmented Reality
  • Year:
  • 2011

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Abstract

In this paper, we report on a prototype augmented reality (AR) platform for accessing abstract information in real-world pervasive computing environments. Using this platform, objects, people, and the environment serve as contextual channels to more information. The user’s interest with respect to the environment is inferred from eye movement patterns, speech, and other implicit feedback signals, and these data are used for information filtering. The results of proactive context-sensitive information retrieval are augmented onto the view of a handheld or head-mounted display or uttered as synthetic speech. The augmented information becomes part of the user’s context, and if the user shows interest in the AR content, the system detects this and provides progressively more information. In this paper, we describe the first use of the platform to develop a pilot application, Virtual Laboratory Guide, and early evaluation results of this application.