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 language | English |
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Title of host publication | ACM CHI Conference on Human Factors in Computing Systems (CHI'19) |
Publisher | Association of Computing Machinery |
DOIs | |
Publication status | Published - 9 May 2019 |
Event | 2019 ACM CHI Conference on Human Factors in Computing Systems: CHI 2019 - Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019 |
Conference
Conference | 2019 ACM CHI Conference on Human Factors in Computing Systems |
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Abbreviated title | CHI 2019 |
Country/Territory | United Kingdom |
City | Glasgow |
Period | 4/05/19 → 9/05/19 |
Keywords
- haptic feedback
- tactile feedback