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An Assistive Haptic System Towards Visually Impaired Computer Science Learning

Published: 26 June 2018 Publication History

Abstract

Our goal is to present an initial concept of a novel haptic system to aid the learning of visual impairment in the context of computer science, with a focus on the representation and contextualization of digital images. Our system is divided in three stages, being: a software that receives the input images; an intermediate interface that creates an alternative representation for the visually impaired; and output devices for tactile and auditory representation. As proof of concept, an initial prototype of recognition of geometric shapes was developed, in which the haptic system was represented by a matrix of LEDs. Empirical evaluations were carried out of the prototype. The preliminary results show that the prototype achieves satisfactory representations, even though some points must be reviewed, such as a suitable display size. With this work, the proof of concept obtained indicates that the proposed system has potential to assist the visually impaired in computer science learning.

References

[1]
Mrim Alnfiai and Srinivas Sampalli. 2017. BrailleEnter: A Touch Screen Braille Text Entry Method for the Blind. Procedia Computer Science 109 (2017), 257--264.
[2]
Anke Brock and Christophe Jouffrais. 2015. Interactive audio-tactile maps for visually impaired people. ACM SIGACCESS Accessibility and Computing 113 (2015), 3--12.
[3]
Vitor Carvalho and Diamantino Freitas. 2015. Automatic Description of SVG Images for the Visually Impaired: A Gestaltic Approach. Procedia Computer Science 67, Supplement C (2015), 2 - 11. Proceedings of the 6th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion.
[4]
Christin Engel and Gerhard Weber. 2017. Analysis of Tactile Chart Design. In Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '17). ACM, New York, NY, USA, 197--200.
[5]
Joan M. Francioni and Ann C. Smith. 2002. Computer Science Accessibility for Students with Visual Disabilities. In Proceedings of the 33rd SIGCSE Technical Symposium on Computer Science Education (SIGCSE '02). ACM, New York, NY, USA, 91--95.
[6]
Timo Götzelmann. 2016. LucentMaps: 3D printed audiovisual tactile maps for blind and visually impaired people. In Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility. ACM, 81--90.
[7]
Timo Götzelmann, Lisa Branz, Claudia Heidenreich, and Markus Otto. 2017. A Personal Computer-based Approach for 3D Printing Accessible to Blind People. In Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments. ACM, 1--4.
[8]
Christian Hatzfeld and Thorsten A. Kern. 2014. Engineering Haptic Devices (2nd. ed.). Springer, London, UK.
[9]
Shun Kakehashi, Tatsuo Motoyoshi, Ken'ichi Koyanagi, Toru Oshima, Hiroyuki Masuta, and Hiroshi Kawakami. 2014. Improvement of P-CUBE: Algorithm education tool for visually impaired persons. In Robotic Intelligence In Informationally Structured Space (RiiSS), 2014 IEEE Symposium on. IEEE, 1--6.
[10]
Jeeeun Kim and Tom Yeh. 2015. Toward 3d-printed movable tactile pictures for children with visual impairments. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, 2815--2824.
[11]
Valère Lounnas, Henry B Wedler, Timothy Newman, Gijs Schaftenaar, Jason G Harrison, Gabriella Nepomuceno, Ryan Pemberton, Dean J Tantillo, and Gert Vriend. 2014. Visually impaired researchers get their hands on quantum chemistry: application to a computational study on the isomerization of a sterol. Journal of computer-aided molecular design 28, 11 (2014), 1057--1067.
[12]
Kouhei Ohnishi. 2010. Real world haptics and telehaptics for medical applications. In Industrial Electronics (ISIE), 2010 IEEE International Symposium on. IEEE, 11--14.
[13]
Rana S.M. Saad, Randa I. Elanwar, N. S. Abdel Kader, Samia Mashali, and Margrit Betke. 2016. BCE-Arabic-v1 Dataset: Towards Interpreting Arabic Document Images for People with Visual Impairments. In Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '16). ACM, New York, NY, USA, Article 25, 8 pages.
[14]
Roy Shilkrot, Jochen Huber, Wong Meng Ee, Pattie Maes, and Suranga Chandima Nanayakkara. 2015. FingerReader: A Wearable Device to Explore Printed Text on the Go. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 2363--2372.
[15]
Abigale Stangl, Chia-Lo Hsu, and Tom Yeh. 2015. Transcribing across the senses: community efforts to create 3D printable accessible tactile pictures for young children with visual impairments. In Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility. ACM, 127--137.
[16]
Saiganesh Swaminathan, Thijs Roumen, Robert Kovacs, David Stangl, Stefanie Mueller, and Patrick Baudisch. 2016. Linespace: A sensemaking platform for the blind. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 2175--2185.
[17]
Jan BF van Erp, Lars Eriksson, Britta Levin, Otto Carlander, JA Veltman, and Wouter K Vos. 2007. Tactile cueing effects on performance in simulated aerial combat with high acceleration. Aviation, space, and environmental medicine 78, 12 (2007), 1128--1134.
[18]
Jan BF Van Erp and HAHC Van Veen. 2003. A multi-purpose tactile vest for astronauts in the international space station. In Proceedings of eurohaptics, Vol. 2003. Dublin, Ireland: ACM, Press, 405--408.
[19]
EB Vander Poorten, Eric Demeester, Piet Lammertse, EVB Vander Poorten, E Demeester, and P Lammertse. 2012. Haptic feedback for medical applications, a survey. In Proc. Actuator. 519--525.
[20]
Limin Zeng and Gerhard Weber. 2016. Exploration of location-aware you-are-here maps on a pin-matrix display. IEEE Transactions on Human-Machine Systems 46, 1 (2016), 88--100.

Cited By

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  • (2024)Designing Unobtrusive Modulated Electrotactile Feedback on Fingertip Edge to Assist Blind and Low Vision (BLV) People in Comprehending ChartsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642546(1-20)Online publication date: 11-May-2024

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  1. An Assistive Haptic System Towards Visually Impaired Computer Science Learning

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    cover image ACM Other conferences
    PETRA '18: Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference
    June 2018
    591 pages
    ISBN:9781450363907
    DOI:10.1145/3197768
    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 ACM 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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    • NSF: National Science Foundation

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 June 2018

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    Author Tags

    1. Computer Science
    2. accessibility
    3. haptics
    4. visually impaired

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    • (2024)Designing Unobtrusive Modulated Electrotactile Feedback on Fingertip Edge to Assist Blind and Low Vision (BLV) People in Comprehending ChartsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642546(1-20)Online publication date: 11-May-2024

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