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PhotoPrompter: a framework of photography encouragement in a strolling trip using ambiguous information

Published:11 November 2014Publication History

ABSTRACT

This paper introduces a smartphone-based system that encourages photography by enhancing a user's awareness of the surrounding environment during a stroll in a city. When a user approaches a pre-registered location for photography, the system notifies the user by vibrating the smartphone. The system only displays the distance to the location and a photograph of the location on the smartphone screen; it does not provide detailed information, such as that given by a map. A user study performed during a stroll in a city confirmed the application of this system. The results demonstrate that ambiguous information provided by the system increased the opportunity for photography and fortuitous discovery.

References

  1. D'Argembeau, A. and Van der Linden, M. Individual differences in the phenomenology of mental time travel: The effect of vivid visual imagery and emotion regulation strategies, Consciousness and Cognition, 15 (2006), 342--350.Google ScholarGoogle ScholarCross RefCross Ref
  2. Tanaka, K. and Nakatani, Y. Sightseeing navigation system that promotes interaction with environment by restricting information, In Proc. IEEE SMC 2010 (2010), 453--458.Google ScholarGoogle ScholarCross RefCross Ref
  3. Panoramio. www.panoramio.com/.Google ScholarGoogle Scholar

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  1. PhotoPrompter: a framework of photography encouragement in a strolling trip using ambiguous information

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    • Published in

      cover image ACM Other conferences
      ACE '14: Proceedings of the 11th Conference on Advances in Computer Entertainment Technology
      November 2014
      422 pages
      ISBN:9781450329453
      DOI:10.1145/2663806

      Copyright © 2014 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 11 November 2014

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      • research-article

      Acceptance Rates

      ACE '14 Paper Acceptance Rate36of90submissions,40%Overall Acceptance Rate36of90submissions,40%

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