Data Capture Methods for Studying Fully Autonomous Vehicles (FAVs) for Visually Impaired People (VIPs)

Table of Contents
  1. Outcome
  2. Project Goal
  3. Overview
  4. The Team
  5. About Autonomous Vehicles
  6. Gathering Insights
    1. Initial Research
    2. Transportation Accessibility in Newcastle
    3. Contextual Inquiry
    4. Three Key Factors for Improving Travel Accessibility for VIPs
    5. Brainstorming Data Capture Methods
  7. Conclusion
  8. Skills Learned

Outcome

Project Goal

Overview

The Team

About Autonomous Vehicles

An Example of an autonomous bus in Edinburgh.
A Sunderland Advanced Mobility Shuttle (SAM) shuttle.

Gathering Insights

Initial Research

Transportation Accessibility in Newcastle

A map of the Newcastle metro system.
A tactile map at Newcastle Central allows VIPs to more easily navigate Newcastle’s train station.

Contextual Inquiry

Peter Hayden using a white cane to Navigate a bridge near Northumbria University.

Three Key Factors for Improving Travel Accessibility for VIPs

Brainstorming Data Capture Methods

A sketch of our proposed cane redesign.

Conclusion

Skills Learned