We introduce VisionAI, a mobile application designed to enhance the in-store shopping experience for individuals with vision impairments.
Understanding the Information Needs of People Who Are Blind or Visually Impaired
The goal of this project is to obtain a nuanced understanding of the strategies that people who are blind or visually impaired (BVI) employ to perform different instrumental activities of daily living (iADLs).
Identifying useful and relevant visual cues that could support these iADLs, especially when the task involves some level of scene understanding, orientation, and mobility, will be essential to the success of near-future visual accessibility aids.
Project Leads:
PhD Student
PhD Student
Principal Investigator:
Assistant Professor
Publications
VisionAI - Shopping Assistance for People with Vision Impairments
Anika Arora, Lucas Nadolskis, Michael Beyeler, Misha Sra 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
Aligning visual prosthetic development with implantee needs
Our interview study found a significant gap between researcher expectations and implantee experiences with visual prostheses, underscoring the importance of focusing future research on usability and real-world application.
Lucas Nadolskis, Lily M. Turkstra, Ebenezer Larnyo, Michael Beyeler Translational Vision Science & Technology (TVST)
(Note: LN and LMT contributed equally to this work.)
Information needs and technology use for daily living activities at home by people who are blind
We present a mixed-methods approach that combines semi-structured interviews with a follow-up behavioral study to understand current and potential future use of technologies for daily activities around the home, especially for cooking.
Lily M. Turkstra, Lexie Van Os, Tanya Bhatia, Michael Beyeler arXiv:2305.03019
A systematic review of extended reality (XR) for understanding and augmenting vision loss
We present a systematic literature review of 227 publications from 106 different venues assessing the potential of XR technology to further visual accessibility.
Justin Kasowski, Byron A. Johnson, Ryan Neydavood, Anvitha Akkaraju, Michael Beyeler Journal of Vision 23(5):5, 1–24
(Note: JK and BAJ are co-first authors.)
