top of page

Socialising Autonomy

Project Type - Academic Thesis

Timeline  - 1 Year (Jan 2019 - May 2020)

Role - Independent Project (Researcher and UX Designer)

Aim

Socialising Autonomy is a research thesis that investigates the safety and comfort of the passengers through a lens of proxemics in cross cultural context, when travelling in self-driving vehicles.  

hallzone.png

"Humans have an innate distancing mechanism, modified by culture, that helps to regulate contact in social situations - Edward T Hall

Journey & Why

Hall's Proximity Zones

Physical Gap

Drivers have different driving patterns based on where they are, broadly based on their culture. The proximity difference between the vehicles can be clearly seen in the two extreme cultures - India & the USA.

Concern

How the personal proximity zones will be affected when travelling in automated vehicles?

Will the proximity zones be standard all across the globe?

Process

Primary Research

Generative Research Method - 32 User Journey's with participants in real driving scenarios

Participants Category in The United States/ India

Private vehicle owners

Participants visiting USA/India

Shared Vehicle

Experienced Drivers

New Drivers

Vehicle Type - Sedan's

Vehicle Type - Suv's

Uber/Lyft

Buses/Metro

Rented Vehicle

Sociopetal Spaces as vehicle interiors

Designed to bring people together and promote interaction

Sociofugal Spaces as Other vehicles

 

Designed to maintain individual’s privacy in an environment

 

Primary Research - India

 

Primary Research - USA

Screenshot 2020-03-16 at 16.04.17.png

Insights - India

Insights - USA

Ideation

Screenshot 2020-03-17 at 01.36.52.png
Screenshot 2020-04-23 at 23.33.29.png
Screenshot 2020-04-23 at 23.33.40.png

Focus Area

Design Concept

Designing invisible proximity zones which impacts individuals comfort and safety level.

 

Developed a model that quantifies proximity zones for autonomous vehicles in India and the USA.

 

Communicating that model through VR and other designed assets.

Prototyping - Intersections

Replicated scaled intersection and traffic flow - designed in Unity

Screenshot 2020-03-17 at 02.12.54.png

ITO Intersection- Delhi, India

Screenshot 2020-04-24 at 00.38.30.png

Raymond/Colorado Intersection - Pasadena, USA

Scenario - USA

 

Participants - 20 (6F/14M)

Age group - 21 - 64 years

Time - 40 - 45 minutes/participant

Scenario - India

 

Participants - 12 (4F/8M)

Age group - 22 - 35 years

Time - 50 - 60 minutes/participant

 

Dynamic proximity zones for the United States

Screenshot 2020-04-30 at 01.22.00.png
Screenshot 2020-04-30 at 01.22.41.png
Screenshot 2020-04-30 at 01.22.26.png
vr5.png
vr3.png

Dynamic proximity zones for India

Screenshot 2020-04-30 at 01.22.00.png
Screenshot 2020-04-30 at 01.22.34.png
vr5.png
vr3.png
bottom of page