Abstract
This paper investigates the communication of natural language messages using a wearable haptic display. Our research spans both the design of the haptic display, as well as the methods for communication that use it. First, three wearable configurations are proposed basing on haptic perception fundamentals. To encode symbols, we devise an overlapping spatiotemporal stimulation (OST) method, that distributes stimuli spatially and temporally with a minima gap. An empirical study shows that, compared with spatial stimulation, OST is preferred in terms of recall. Second, we propose an encoding for the entire English alphabet and a training method for letters, words and phrases. A second study investigates communication accuracy. It puts four participants through five sessions, for an overall training time of approximately 5 hours per participant. Results reveal that after one hour of training, participants were able to discern 16 letters, and identify two- and three-letter words. They could discern the full English alphabet (26 letters, 92% accuracy) after approximately three hours of training, and after five hours participants were able to interpret words transmitted at an average duration of 0.6s per word.
Original language | English |
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Title of host publication | ISWC '16 Proceedings of the 2016 ACM International Symposium on Wearable Computers |
Place of Publication | New York |
Publisher | Association of Computing Machinery |
Pages | 148-155 |
Number of pages | 8 |
ISBN (Electronic) | 978-1-4503-4460-9 |
DOIs | |
Publication status | Published - 2016 |
Event | ACM International Symposium on Wearable Computers: ISWC 2016 - Heidelberg, Germany Duration: 12 Sept 2016 → 16 Sept 2016 |
Conference
Conference | ACM International Symposium on Wearable Computers |
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Country/Territory | Germany |
City | Heidelberg |
Period | 12/09/16 → 16/09/16 |
Keywords
- haptic interfaces
- Experimental evaluation
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Dive into the research topics of 'Skin Reading: encoding text in a 6-channel haptic display'. Together they form a unique fingerprint.Prizes
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Best Paper Honorable Mention
Luzhnica, Granit (Recipient), Veas, Eduardo Enrique (Recipient) & Pammer-Schindler, Viktoria (Recipient), 2016
Prize: Prizes / Medals / Awards