extended-abstract

BlindNavi: A Navigation App for the Visually Impaired Smartphone User

Authors:

Hsuan-Eng Chen,

Yi-Ying Lin,

Chien-Hsing Chen,

I-Fang WangAuthors Info & Claims

CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

Pages 19 - 24

https://doi.org/10.1145/2702613.2726953

Published: 18 April 2015 Publication History

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Abstract

These days, many of us frequently use mobile apps to help us navigate. However, these apps with touch screens are not user-friendly for visually impaired people who are eager to be able to leave their homes independently. Moreover, the most widely used apps are not specially made for the visually impaired, so they create much confusion and result in a problematic user experience. The main purpose of this research is to provide a new mobility-aid solution in the form of a navigation app that remembers meaningful information over the journey and makes the trip safer and smoother. Unlike those applications that provide visual guides, we want to refer to the way blind people recognize and remember their route, and provide multi-sensory messages combining familiar reference points that they have learned from O&M training. "BlindNavi" is an app prototype with a 3-step simple search, flat flow design, voice feedback consisting of multi-sensory clues, combined with micro-location technology, to assist visually impaired people leave their homes and safely explore the outside world on their own.

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J. Ranjithkumar Dr. Lipsa Nayak (2024)Heterogeneous Social Network Location Aware Multi Party Data Protection and Privacy SystemInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJETIR-1223(122-127)Online publication date: 10-Jul-2024
https://doi.org/10.48175/IJETIR-1223
Rosiak MKawulok MMaćkowski M(2024)The Effectiveness of UWB-Based Indoor Positioning Systems for the Navigation of Visually Impaired IndividualsApplied Sciences10.3390/app1413564614:13(5646)Online publication date: 28-Jun-2024
https://doi.org/10.3390/app14135646
Pundlik SShivshanker PTraut-Savino TLuo G(2024)Field Evaluation of a Mobile App for Assisting Blind and Visually Impaired Travelers to Find Bus StopsTranslational Vision Science & Technology10.1167/tvst.13.1.1113:1(11)Online publication date: 15-Jan-2024
https://doi.org/10.1167/tvst.13.1.11
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Index Terms

BlindNavi: A Navigation App for the Visually Impaired Smartphone User
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

April 2015

2546 pages

ISBN:9781450331463

DOI:10.1145/2702613

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

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Extended-abstract

Funding Sources

National Science Council

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CHI '15

Sponsor:

SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

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CHI EA '15 Paper Acceptance Rate 379 of 1,520 submissions, 25%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

View all

J. Ranjithkumar Dr. Lipsa Nayak (2024)Heterogeneous Social Network Location Aware Multi Party Data Protection and Privacy SystemInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJETIR-1223(122-127)Online publication date: 10-Jul-2024
https://doi.org/10.48175/IJETIR-1223
Rosiak MKawulok MMaćkowski M(2024)The Effectiveness of UWB-Based Indoor Positioning Systems for the Navigation of Visually Impaired IndividualsApplied Sciences10.3390/app1413564614:13(5646)Online publication date: 28-Jun-2024
https://doi.org/10.3390/app14135646
Pundlik SShivshanker PTraut-Savino TLuo G(2024)Field Evaluation of a Mobile App for Assisting Blind and Visually Impaired Travelers to Find Bus StopsTranslational Vision Science & Technology10.1167/tvst.13.1.1113:1(11)Online publication date: 15-Jan-2024
https://doi.org/10.1167/tvst.13.1.11
Kubota MKuribayashi MKayukawa STakagi HAsakawa CMorishima S(2024)Snap&Nav: Smartphone-based Indoor Navigation System For Blind People via Floor Map Analysis and Intersection DetectionProceedings of the ACM on Human-Computer Interaction10.1145/36765228:MHCI(1-22)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676522
Kaniwa YKuribayashi MKayukawa SSato DTakagi HAsakawa CMorishima S(2024)ChitChatGuide: Conversational Interaction Using Large Language Models for Assisting People with Visual Impairments to Explore a Shopping MallProceedings of the ACM on Human-Computer Interaction10.1145/36764928:MHCI(1-25)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676492
Abidi MNoor Siddiquee AAlkhalefah HSrivastava V(2024)A Comprehensive Review of Navigation Systems for Visually Impaired IndividualsHeliyon10.1016/j.heliyon.2024.e31825(e31825)Online publication date: May-2024
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Pandithurai ODhiyaneswaran PRaj SSriman B(2024)Design and Development of Human Identification and Obstacle Detection System for Blind Using Machine LearningDeep Sciences for Computing and Communications10.1007/978-3-031-68905-5_20(219-227)Online publication date: 29-Sep-2024
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Galimberti G(2023)On the independent and sustainable mobility of people with visual impairmentsProceedings of the 20th International Web for All Conference10.1145/3587281.3587705(158-161)Online publication date: 30-Apr-2023
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