An inclusive design framework for autonomous vehicles to create valuable experience for elderly

Autonomous vehicles are approaching the market faster than we imagined and the ageing population is growing year after year. Today the world is facing several challenges related to personal mobility like traffic congestion, pollution, road accidents, and many more. The autonomous vehicle is a promising technology that has the potential to address some of these challenges. While we consider personal mobility, there is an opportunity to introduce autonomous vehicles for the ageing population. Right now, we are designing the technology keeping potential users in mind, which may not include the older persons. Since this technology is at the initial stage, we could intervene and design a better inclusive technology irrespective of age and health conditions. In this research, we are applying human-centered design approach to study autonomous vehicles and elderly people of tomorrow. We have leveraged various qualitative research methodologies and a human-centered design approach to better understand the domain. As a result, we are proposing a novel framework which might help us design a better inclusive technology for the future.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Integrated Design and Management Program

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Jain, Samip.

Advisor dc:contributor.advisor

• Maria Yang.

• Integrated Design and Management Program.
• Engineering and Management Program.
• System Design and Management Program.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/132829

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/132829