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Passive haptic learning of typing skills facilitated by wearable computers

Published:26 April 2014Publication History

ABSTRACT

Passive Haptic Learning (PHL) allows people to learn "muscle memory" through vibration stimuli without devoting attention to the stimulus. PHL can be facilitated by wearable computers such as gloves with an embedded tactile interface. Previous work on PHL taught users rote patterns of finger movements corresponding to piano melodies. Expanding on this research, we are currently exploring the capabilities and limits of Passive Haptic Learning as we investigate whether more complex skills and meaning can be taught through wearable, tactile interfaces. We are creating and studying a system for passively teaching typing skills, with the ultimate goal of passively teaching Braille typing. Our initial studies in perception and learning provide key information for system development including the importance of visual feedback in learning to type; while our pilot study using the current system for Passive Haptic Learning of typing on an unfamiliar keyboard shows passive learning in all participants.

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References

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    • Published in

      cover image ACM Conferences
      CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing Systems
      April 2014
      2620 pages
      ISBN:9781450324748
      DOI:10.1145/2559206

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 26 April 2014

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      CHI EA '14 Paper Acceptance Rate1,000of3,200submissions,31%Overall Acceptance Rate6,164of23,696submissions,26%

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