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Low Vision Mode

Understanding the impact of connected and automated vehicles for pedestrians with sight loss

Informed Consent

Introduction

An "Electric Vehicle (EV)" uses one or more electric motors for propulsion. These vehicles consume electricity as their major fuel. A "self-driving" car (sometimes called an autonomous vehicle/ driverless vehicle/ automated vehicle) is a vehicle that uses a combination of technologies to travel and guide itself without human conduction. To qualify as fully autonomous, a vehicle must be able to navigate without human intervention to predetermined destinations over roads that are or are not designed for these vehicles.

Next step will be "Connected Automated Vehicles" which are vehicles that can use any of a number of different communication technologies to communicate with the driver, other cars on the road (vehicle-to-vehicle [V2V]), roadside infrastructure (vehicle-to-infrastructure [V2I]), and the "Cloud" [V2C]. Both "self-driving" and "connected automated vehicles" are supposed to be run entirely on electricity.

Consent Form

With partial funding support from the Government of Canada, Transport Canada, Advance Connectivity and Automation in the Transportation System (ACATS), CNIB, in collaboration with the University of Toronto, is undertaking a project to understand the perceptions about connected and automated vehicles for pedestrians with sight loss. Your responses will help form CNIB's policy recommendations as to how to ensure that when implemented, connected and autonomous vehicles enhance the mobility experience of pedestrians with sight loss.

Responses are captured in aggregate meaning that individuals participating in the survey cannot be identified. We are not asking for personally identifiable information and as such, your candid and honest responses are greatly appreciated. The postal code data will be used in aggregate not individual for the analysis purposes.

Once you have successfully completed the survey, your answers will be saved. We will then invite you to provide contact details should you wish to receive a copy of either the survey analysis or CNIB's final report which we will submit late in 2019.
 
As a part of the project, the research team is conducting a survey to accurately identify the level of understanding about using navigational aids/tools, smartphones' applications, perceptions about connected and automated vehicles, and areas where people who are blind or partially sighted feel higher risks for ground transportation. This research will provide up-to-date data on technology use and navigation skills for pedestrians with visual impairment to better inform our program development and advocacy efforts. To achieve our goal of better understanding levels of perceptions for persons with sight loss, we are asking that you complete this survey. All data collected will be kept anonymous and confidential. Results will be reported in aggregate, without any identifying features associated with any individual. Data will not be shared except in aggregate, summary form with outside parties.

This survey should take approximately 35 minutes to complete. Please note that participation in this survey is entirely voluntary and confidential. Decisions you make around participation will have absolutely no impact on the services you receive from CNIB, either now or in the future. You can end the interview at any time, and you can choose not to answer certain questions. And, of course, there are no consequences to you if you choose not to participate.

If you have any questions about this survey, or have difficulty accessing or completing the survey, please contact Sina Soldouz by email at sina.azizisoldouz@mail.utoronto.ca or Professor Khandker Nurul Habib at khandker.nurulhabib@utoronto.ca.

This survey has been approved in accordance with the University of Toronto Research Ethics Board, which can be contacted at ethics.review@utoronto.ca or 416-946-3273.
1. By clicking "Yes I agree to participate in this survey" below, I acknowledge that I understand the purpose of the survey, and how my responses to the survey questions will be managed, analyzed, and used by the researchers.