Optimising the Encoding for Vibrotactile Skin Reading

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Abstract

This paper proposes methods of optimising alphabet encoding for skin reading in order to avoid perception errors. First, a user study with 16 participants using two body locations serves to identify issues in recognition of both individual letters and words. To avoid such issues, a two-step optimisation method of the symbol encoding is proposed and validated in a second user study with eight participants using the opti-mised encoding with a seven vibromotor wearable layout on the back of the hand. The results show signiicant improvements in the recognition accuracy of letters (97%) and words (97%) when compared to the non-optimised encoding.
Original languageEnglish
Title of host publicationACM CHI Conference on Human Factors in Computing Systems (CHI'19)
PublisherAssociation of Computing Machinery
DOIs
Publication statusPublished - 9 May 2019
Event2019 ACM CHI Conference on Human Factors in Computing Systems - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019

Conference

Conference2019 ACM CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2019
CountryUnited Kingdom
CityGlasgow
Period4/05/199/05/19

Keywords

  • haptic feedback
  • tactile feedback

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  • Cite this

    Luzhnica, G., & Veas, E. (2019). Optimising the Encoding for Vibrotactile Skin Reading. In ACM CHI Conference on Human Factors in Computing Systems (CHI'19) Association of Computing Machinery. https://doi.org/10.1145/3290605.3300465