short-paper

Passive haptic learning for vibrotactile skin reading

Authors:

Granit Luzhnica,

Caitlyn SeimAuthors Info & Claims

ISWC '18: Proceedings of the 2018 ACM International Symposium on Wearable Computers

Pages 40 - 43

https://doi.org/10.1145/3267242.3267271

Published: 08 October 2018 Publication History

Abstract

This paper investigates the effects of using passive haptic learning to train the skill of comprehending text from vibrotactile patterns. The method of transmitting messages, skin-reading, is effective at conveying rich information but its active training method requires full user attention, is demanding, time-consuming, and tedious. Passive haptic learning offers the possibility to learn in the background while performing another primary task. We present a study investigating the use of passive haptic learning to train for skin-reading.

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References

[1]

Robert H Gault. 1924. Progress in experiments on tactual interpretation of oral speech. The Journal of Abnormal Psychology and Social Psychology 19, 2 (1924), 155.

[2]

Frank A. Geldard. 1957. Adventures in tactile literacy. American Psychologist 12, 3 (1957), 115--124.

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Yi-Chi Liao, Yi-Ling Chen, Jo-Yu Lo, Rong-Hao Liang, Liwei Chan, and Bing-Yu Chen. 2016. EdgeVib: Effective Alphanumeric Character Output Using a Wrist-Worn Tactile Display. In UIST '16.

Digital Library

[5]

Granit Luzhnica, Sebastian Stein, Eduardo Veas, Viktoria Pammer, John Williamson, and Roderick Murray Smith. 2017. Personalising Vibrotactile Displays Through Perceptual Sensitivity Adjustment. In ACM International Symposium on Wearable Computers (ISWC '17). ACM, 8.

Digital Library

[6]

Granit Luzhnica and Eduardo Veas. 2017. Vibrotactile Patterns using Sensitivity Prioritisation. In Proceedings of the 2017 ACM International Symposium on Wearable Computers (ISWC '17). ACM, New York, NY, USA.

Digital Library

[7]

Granit Luzhnica and Eduardo Veas. 2018. Investigating Interactions for Text Recognition Using a Vibrotactile Wearable Display. In 23rd International Conference on Intelligent User Interfaces (IUI '18). 453--465.

Digital Library

[8]

Granit Luzhnica, Eduardo Veas, and Viktoria Pammer. 2016. Skin Reading: Encoding Text in a 6-channel Haptic Display. In ACM International Symposium on Wearable Computers (ISWC '16). ACM.

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Hugo Nicolau, João Guerreiro, Tiago Guerreiro, and Luís Carriço. 2013. UbiBraille: Designing and Evaluating a Vibrotactile Braille-reading Device. In ASSETS '13.

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Scott D. Novich and David M. Eagleman. 2015. Using space and time to encode vibrotactile information: toward an estimate of the skin's achievable throughput. Experimental Brain Research 10 (2015).

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Caitlyn Seim, John Chandler, Kayla DesPortes, Siddharth Dhingra, Miru Park, and Thad Starner. 2014. Passive Haptic Learning of Braille Typing. In ACM International Symposium on Wearable Computers (ISWC '14).

Digital Library

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Caitlyn Seim, Nick Doering, Yang Zhang, Wolfgang Stuerzlinger, and Thad Starner. 2017. Passive Haptic Training to Improve Speed and Performance on a Keypad. IMWUT 1, 3, Article 100 (Sept. 2017), 13 pages.

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C. Seim, T. Estes, and T. Starner. 2015a. Towards Passive Haptic Learning of piano songs. In 2015 IEEE World Haptics Conference (WHC).

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Caitlyn Seim, James Hallam, Shashank Raghu, Tri-An Le, Greg Bishop, and Thad Starner. 2015b. Perception in Hand-Worn Haptics: Placement, Simultaneous Stimuli, and Vibration Motor Comparisons. Technical Report. Georgia Institute of Technology.

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Caitlyn Seim, Saul Reynolds-Haertle, Sarthak Srinivas, and Thad Starner. 2016. Tactile Taps Teach Rhythmic Text Entry: Passive Haptic Learning of Morse Code. In Proceedings of the 2016 ACM International Symposium on Wearable Computers (ISWC '16). ACM.

Digital Library

Cited By

Chu SGarcia BRani N(2023)Research on wearable technologies for learning: a systematic reviewFrontiers in Education10.3389/feduc.2023.12703898Online publication date: 9-Nov-2023
https://doi.org/10.3389/feduc.2023.1270389
Peters HMatz SCerf M(2023)Sensory substitution can improve decision-makingComputers in Human Behavior10.1016/j.chb.2023.107797146:COnline publication date: 26-Jul-2023
https://dl.acm.org/doi/10.1016/j.chb.2023.107797
Luzhnica GKrajnc AVeas E(2022)Exploring Feedback-based Testing Effects for Skin ReadingProceedings of the Augmented Humans International Conference 202210.1145/3519391.3519393(212-217)Online publication date: 13-Mar-2022
https://dl.acm.org/doi/10.1145/3519391.3519393
Show More Cited By

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Published In

cover image ACM Conferences

ISWC '18: Proceedings of the 2018 ACM International Symposium on Wearable Computers

October 2018

307 pages

ISBN:9781450359672

DOI:10.1145/3267242

General Chairs:
Kai Kunze
Keio University
,
Rajesh K. Balan
Singapore Management University
,
Youngki Lee
Singapore Management University
,
Program Chairs:
Michael Beigl
Karlsruhe Institute of Technology
,
Roshan Peiris
Keio University

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 October 2018

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Short-paper

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UbiComp '18

Sponsor:

UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing

October 8 - 12, 2018

Singapore, Singapore

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Overall Acceptance Rate 38 of 196 submissions, 19%

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Cited By

Chu SGarcia BRani N(2023)Research on wearable technologies for learning: a systematic reviewFrontiers in Education10.3389/feduc.2023.12703898Online publication date: 9-Nov-2023
https://doi.org/10.3389/feduc.2023.1270389
Peters HMatz SCerf M(2023)Sensory substitution can improve decision-makingComputers in Human Behavior10.1016/j.chb.2023.107797146:COnline publication date: 26-Jul-2023
https://dl.acm.org/doi/10.1016/j.chb.2023.107797
Luzhnica GKrajnc AVeas E(2022)Exploring Feedback-based Testing Effects for Skin ReadingProceedings of the Augmented Humans International Conference 202210.1145/3519391.3519393(212-217)Online publication date: 13-Mar-2022
https://dl.acm.org/doi/10.1145/3519391.3519393
Luzhnica GVeas E(2022)A Visualisation Driven Training for Vibrotactile Skin ReadingIEEE Transactions on Haptics10.1109/TOH.2021.313877315:1(103-108)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TOH.2021.3138773
Nyasulu TDu SSteyn NDong E(2021)A Study of Cutaneous Perception Parameters for Designing Haptic Symbols towards Information TransferElectronics10.3390/electronics1017214710:17(2147)Online publication date: 3-Sep-2021
https://doi.org/10.3390/electronics10172147
PALA FMIHCI TÜRKER PKILINÇER Ö(2021)The effectiveness of the haptic glove for piano educationPiyano eğitiminde haptik eldivenin etkililiğiKocaeli Üniversitesi Eğitim Dergisi10.33400/kuje.9510154:2(556-574)Online publication date: 30-Nov-2021
https://doi.org/10.33400/kuje.951015
Dunkelberger NSullivan JBradley JManickam IDasarathy GBaraniuk RO'Malley M(2021)A Multisensory Approach to Present Phonemes as Language Through a Wearable Haptic DeviceIEEE Transactions on Haptics10.1109/TOH.2020.300958114:1(188-199)Online publication date: 1-Jan-2021
https://doi.org/10.1109/TOH.2020.3009581
Luzhnica GVeas EFarrahi KHarle RLane N(2019)Boosting word recognition for vibrotactile skin readingProceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341163.3347715(135-144)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3341163.3347715
Pescara EPolly TSchankin ABeigl MFarrahi KHarle RLane N(2019)Reevaluating passive haptic learning of morse codeProceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341163.3347714(186-194)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3341163.3347714
Luzhnica GVeas EFu WPan SBrdiczka OChau PCalvary G(2019)Background perception and comprehension of symbols conveyed through vibrotactile wearable displaysProceedings of the 24th International Conference on Intelligent User Interfaces10.1145/3301275.3302282(57-64)Online publication date: 17-Mar-2019
https://dl.acm.org/doi/10.1145/3301275.3302282
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