I see you there!: developing identity-preserving embodied interaction for museum exhibits

  • Authors:
  • Francesco Cafaro;Alessandro Panella;Leilah Lyons;Jessica Roberts;Josh Radinsky

  • Affiliations:
  • University of Illinois at Chicago, Chicago, Illinois, USA;University of Illinois at Chicago, Chicago, Illinois, USA;University of Illinois at Chicago, Chicago, Illinois, USA;University of Illinois at Chicago, Chicago, Illinois, USA;University of Illinois at Chicago, Chicago, Illinois, USA

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2013

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Abstract

Museums are increasingly embracing technologies that provide highly-individualized and highly-interactive experiences to visitors. With embodied interaction experiences, increased localization accuracy supports greater nuance in interaction design, but there is usually a tradeoff between fast, accurate tracking and the ability to preserve the identity of users. Customization of experience relies on the ability to detect the identity of visitors, however. We present a method that combines fine-grained indoor tracking with robust preservation of the unique identities of multiple users. Our model merges input from an RFID reader with input from a commercial camera-based tracking system. We developed a probabilistic Bayesian model to infer at run-time the correct identification of the subjects in the camera's field of view. This method, tested in a lab and at a local museum, requires minimal modification to the exhibition space, while addressing several identity-preservation problems for which many indoor tracking systems do not have robust solutions.