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Investigating Interactions for Text Recognition using a Vibrotactile Wearable Display

Published:05 March 2018Publication History

ABSTRACT

Vibrotactile skin-reading uses wearable vibrotactile displays to convey dynamically generated textual information. Such wearable displays have potential to be used in a broad range of applications. Nevertheless, the reading process is passive, and users have no control over the reading flow. To compensate for such drawback, this paper investigates what kind of interactions are necessary for vibrotactile skin reading and the modalities of such interactions. An interaction concept for skin reading was designed by taking into account the reading as a process. We performed a formative study with 22 participants to assess reading behaviour in word and sentence reading using a six-channel wearable vibrotactile display. Our study shows that word based interactions in sentence reading are more often used and preferred by users compared to character-based interactions and that users prefer gesture-based interaction for skin reading. Finally, we discuss how such wearable vibrotactile displays could be extended with sensors that would enable recognition of such gesture-based interaction. This paper contributes a set of guidelines for the design of wearable haptic displays for text communication.

References

  1. Henrik Birk, Thomas B. Moeslund, and Claus B. Madsen. 1997. Real-Time Recognition of Hand Alphabet Gestures Using Principal Component Analysis. In 10th Scandinavian Conference on Image Analysis.Google ScholarGoogle Scholar
  2. J. C. Bliss, M. H. Katcher, C. H. Rogers, and R. P. Shepard. 1970. Optical-to-Tactile Image Conversion for the Blind. IEEE Transactions on Man-Machine Systems 11, 1 (March 1970), 58--65.0.1145/2742647.2745922Google ScholarGoogle ScholarCross RefCross Ref

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  1. Investigating Interactions for Text Recognition using a Vibrotactile Wearable Display

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      • Published in

        cover image ACM Conferences
        IUI '18: Proceedings of the 23rd International Conference on Intelligent User Interfaces
        March 2018
        698 pages
        ISBN:9781450349451
        DOI:10.1145/3172944

        Copyright © 2018 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 5 March 2018

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        Acceptance Rates

        IUI '18 Paper Acceptance Rate43of299submissions,14%Overall Acceptance Rate746of2,811submissions,27%

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