A Universal Design Framework of Employment Accessibility Standards for Supporting Visually Impaired Community by Social Robots

This project aims to employ a universal design framework to employ a social robot-aided training system to support the visually impaired community in attaining an inclusive job interview process. The universal design framework advocates that any given environment is accessible by persons with disabilities, to the greatest extent possible, without the need for adaptation or specialized design. The research will take an evidence-based approach by adopting qualitative data collection strategies for the visually impaired community, such as conducting interviews and focus group sessions. Data collection will include persons with different visual processing disabilities, successful and unsuccessful experiences in the job interview process, and hiring managers and human resource professionals. The goal is to establish guidelines for implementing inclusive employment and accessibility standards while providing practical tools to break barriers in the recruitment process for the visually impaired community.

Faculty Supervisor:

Patrick Hung

Student:

Partner:

Canadian National Institute for the Blind

Discipline:

Computer science

Sector:

Accommodation and food services; Health and Related Sciences & Technology

University:

University of Ontario Institute of Technology

Program: