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This paper is in the following e-collection/theme issue:

Assistive Technology for Vision Loss/Impairment (41) Human Factors and Usability Case Studies (1301) Formative Studies and eHealth/mHealth Development (702) Equity and Digital Divide (516) Health Services in Resource-Poor Settings and LMICs (678) Artificial Intelligence (4742) Disabilities (185) Theme Issue: Participatory Methods in Rehab Interventions and Assistive Technologies (27)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70694, first published .
Two men in outdoor social distancing markers, one wearing a mask.

Challenges and Opportunities of the Human-Centered Design Approach: Case Study Development of an Assistive Device for the Navigation of Persons With Visual Impairment

Challenges and Opportunities of the Human-Centered Design Approach: Case Study Development of an Assistive Device for the Navigation of Persons With Visual Impairment

Authors of this article:

Mario Andres Chavarria1, 2, 3 Author Orcid Image ;   Luisa María Ortiz-Escobar2, 4 Author Orcid Image ;   Bladimir Bacca-Cortes5 Author Orcid Image ;   Victor Romero-Cano6 Author Orcid Image ;   Isabella Villota2 Author Orcid Image ;   Jhon Kevin Muñoz Peña5 Author Orcid Image ;   José Roberto Londoño Sánchez2 Author Orcid Image ;   Oscar Campo2 Author Orcid Image ;   Silvan Suter1 Author Orcid Image ;   Jhon Jairo Cabrera-López2 Author Orcid Image ;   Maria Fernanda Sanchez Patiño7 Author Orcid Image ;   Eduardo Francisco Caicedo-Bravo5 Author Orcid Image ;   Michael Stein8 Author Orcid Image ;   Samia Hurst4 Author Orcid Image ;   Klaus Schönenberger1 Author Orcid Image ;   Minerva Rivas Velarde3, 4 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Noor A, Almukhalfi H, Souza A, Noor T. Towards a Real-Time Indoor Object Detection for Visually Impaired Users Using Raspberry Pi 4 and YOLOv11: A Feasibility Study. Computer Modeling in Engineering & Sciences 2025;144(3):3085 View
  2. Amici C, Buraschi R, Dragusanu M, Gobbo M, Logozzo S, Malvezzi M, Pollet J, Tiboni M, Valigi M. Design Criteria for Robotic Rehabilitation Medical Devices: The PICO-Driven Approach. Machines 2026;14(3):303 View
  3. Fu Y, Jin R, Yang Z, Li Y, Zhang Z, Zhu Y, Zheng L. Design for educational equity: a collaborative remote Braille learning system and tactile intervention for visually impaired children. Universal Access in the Information Society 2026;25(3) View
  4. Kaboré S, Annan D, Puri P, Mejia Romero S, Gingras‑Royer N, Gauthier J, Nhung H, Nguyen P, Pelletier B, Nguyen K, Alami H, Nemargut J. Indoor Navigation for People With Visual Impairment in Canada: Participatory Co-Design and Interdisciplinary Study of the Edge A-Eye Platform. JMIR Rehabilitation and Assistive Technologies 2026;13:e81347 View

Conference Proceedings

  1. Bairwa B, Reddy B, Janali A, Ambrish , M C. 2025 International Conference on Electrical, Electronics, and Computer Science with Advance Power Technologies - A Future Trends (ICE2CPT). Deep Learning-Powered Visual Aid System for Blind Navigation View