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Trust & Safety in Autonomy

It is clear that we will be surrounded by autonomous vehicles. There are many reasons why, hence we dive into those and solve for specific use cases to leverage contextual interactions to increase the trust while keeping human safety in mind.

Iris Autonomous Ride-Hailing

UX Research
Product Design
Design Strategy

We conducted exploratory research on Autonomous Vehicles and design implications of trust and safety. We interviewed nearly a dozen experts working in the industry and conducted user research and testing with our target audiences - to understand the AV space, rider pain points, needs and safety requirements along the ride. This led us to strategize on ride-hailing of AVs and designing for multiple use cases for the most equitable access and utilization.

Client

Self Initiated Project

Year

2022

 

Duration

3 months

Location

San Francisco, CA, USA

Tools

Figma & FigJam

Adobe Photoshop

Rhino 3D & KeyShot 11

Team

Product Designer

Rakshit Khilnani

UX Designer

Hinal Chheda

Advisor

Neil Torrefiel

Phase I

Exploratory Scenario Research

There are more cars on the road today than ever before, more than the road systems in urban areas can manage.


Public transportation is not adequate and people rely on personal vehicles.



A lot of other factors, including cost, accessibility, safety and productivity.

Majority of the accidents are chalked up to human error. Top causes of crashes, ordered by number of fatalities:

Setting Stage

Estimated

42,915

people died in motor vehicle traffic crashes last year in USA.*

An increase of over

18%

in less than 2 years, 36,096 deaths in 2019.*

Estimated

$277 billion

estimated annual cost of motor vehicle crashes.*

Of the 6.5 million reported accidents

98%

were caused by human error in USA, 2021.*

*Source: NHTSA

Lets go through the journey of a ride, designed for a person with mobility issues.

Onboard
 
Increasing awareness by showing technology related information & instilling trust.
Setup
Booking the ride-  hailing or rental and scheduled or recurring options.

The are trust and safety issues won't go away completely.

But it is imperative to solve for them as ultimately the autonomous vehicle system will be much safer.

Next Steps

Reflection
  • More research & interviews with people facing commute and mobility issues.

  • Work on prototypes working around other accessibilities e.g vision impairment.

  • Explore emergency scenario outcomes in depth.

  • Think about vulnerable population of the society for financial equity and balance with business goals.

  • Testing with users for feedback.

  • Detail the child's onboarding process.

  • Learn more about the tech stack and experiment, prototype and test these experiences.

1

Desk research & Competitive Analysis

Primary Research & Immersion

Analogous Research

Affinity & Journey Mapping

Exploration

2

Scenario Evocation

Archetypes, User Personas

Product Journey & Prioritization

Experience Principles

Strategy

3

Meet Iris - System Design

Ride 1: Busy Parent

Ride 2: Mobility Access

Reflections & Next Steps

Prototyping

THE PROCESS

Due to the speculative nature of the design space, we looked through a broad scope at a wicked problem.

THE CHALLENGE

The vastness of the challenge is daunting. The challenge autonomous vehicles face can be broken down into thinking this way - human lives, interacting with and within a smart metal container full of complicated futuristic tech stack, functionally moving in a dynamic and complex environment of the chaotic unsafe road system. 

THE PURPOSE

There are tangible and intangible interactions to solve for - internally riders with vehicle and vice versa, and vehicle with external stakeholders and systems. These intricacies are worth solving for - considering the scale at which the wicked problem is being solved at. Speculating and solving for these pain points in interactions are for the riders would be imperative for the adoption and growth of AVs in the world.

HOW MIGHT WE

  • Create human interactions with autonomous vehicles

SO THAT

  • it increases trust and safety while sharing contextual information

THIS IMPACTS

  • vehicle passengers

  • autonomous vehicle OEMs

  • other cars and pedestrians

  • road safety & traffic policy makers

Capability deficit: When the vehicle isn't capable but the rider trusts the vehicle.

Trust deficit: When the vehicle is capable but the rider is still mistrusting and jumpy.

Users’ trust in the vehicle and evaluations of the vehicle reliability are often misaligned. Such misalignment may be mitigated by acting on user interactions in the HMI, contextual information and the vehicle’s behavioral dynamics.

Desk Research

Insights

  • Measured with Positive Risk Balance - adoption when autonomy is safer than a human driving a car.

  • Communicate values of the AV experience - visual, auditory and haptic. Communicate to passengers in both subtle and explicit ways.

  • Create a personalized experience.

  • Acknowledge user preferences.

  • Help passengers engage safely with their vehicle.

  • Assist passengers in anticipating what’s next.

  • Clearly message vehicle actions before they occur.

Breakdown of Trust

  • Predictability

  • Dependability

  • Faith

Trust Considerations

  • Accuracy

  • Reliability

  • Understandability

  • Message Framing

  • Message Coordination

  • Familiarity

Primary Research - Qualitative Interviews

Key Takeaways

  • Safety - a lot of AV OEMs are very close to a disengagement rate that would make them safer than manually driven vehicles.

  • Trust is subjective - to person and to situation, long building process. 

  • There would definitely be an increase in accessibility in mobility for persons with disabilities.

  • Interactions would be of 2 types - inside and outside the vehicle. External include intangible forms of communication were used to.

  • There are hundreds of scenarios to design and solve for - hence the delay in release and trust deficit in adoption.

  • Humans would still need to feel control despite giving up key operations.

  • Accessibility - Recognize the need to make this technology available to the disabled ASAP, in order to allow their emancipation.

  • Need to reduce learning curve & make people aware.

10 Industry Expert Interviews

1 Hour (avg.)

UI Designer (Tesla)
Internal Designer Experiences Lead (Waymo)

UX Designer (Waymo)
Experience Designer (Cruise)

Industrial Designer (Aurora)
UX Designer (Zoox)
Prototyping & Interaction Designer (ex Nio)
Experience Designer (ex Uber ATG)

Car Designer (Kia)

AV Racing Club (CMU Autonomous Racing Club)

Topics of conversation

"HUMAN LIVES, WITHIN A COMPLICATED SYSTEM, IN TURN WITHIN A COMPLEX & DYNAMIC ENVIRONMENT"

Primary Research - Quantitative Survey

31 responses - 14 Questions​

Primary Research - Immersion

Our Mentor, Professor Neil Torrefiel was able to arrange for us to get a ride in a Waymo to experience Autonomous Vehicles first hand.

The most interesting part was the Product Lead for in-car experiences was testing the new features and safety affordances during our ride. It led us to learn how Waymo was iteratively prototyping incremental evolution of the interactions and features in the AVs.

Insights
Finding the patterns - Affinity Map

Human Behavior

Design for pseudo-control and personalized experiences in free time


Onboarding and Learning Curve

Awareness crucial for adoption and it's incremental over time


Business Models

Private, hailing, sharing, goods, delivery


Trust

Sincerity, competence, reliability, within tolerance of risk


Safety

Competence testing, physical affordances, support, control outcomes

Interactions

Internal with vehicle and external with stakeholders on the road

HMI & Communication

Transparency, intent, utility, multi-modal

Standardization

Homogeneous experiences and expectations

Accessibility

Possibilities to improve mobility and caregiving, and be very equitable

Progress - Miles Tested

Competitive Teardown

Competitive Analysis 2X2

Archetypes

We started looking at who we are designing for, and some archetypes stood out as the the problems solved for them are more inclusive and impactful.

The Commuter and the disabled are use cases which would solve for a lot of edge cases as well as structure a lot of the general uses.

Stakeholder Mapping

Industry Trends

Residual, Dominant & Emergent Industry Trends

Key Takeaway

The important aspect to look at here is that the Autonomous Vehicles are at the cusp of emergent trends, while being backed by industry dominant tech companies and car manufacturers. Other tends in that zone are mobility access, smart HMI and evolution of road systems using networked communication. These are indicators for where the business investments and scientific innovation are headed in the present for development in next decade.

Scenarios

Scenario Evocation

Storyboarding

We listed down the numerous scenarios along the ride worth solving for. At one point we listed over 150 scenarios across a dozen touch-points. We categorized them based on whether the interactions were internal and external to the vehicle.

We started looking at the story of a rider. How we could solve for the pain points of the riders through al the phases of the ride and empathize with the users.

Vehicle Strategy

Ride-Hailing

This wasn't a simple decision. We could be designing for privately owned vehicles but our advisor and industry experts broke down the logic for us - if there aren't human drivers then there could potentially be carparks full of autonomous vehicles waiting to service anywhere within minutes and they would be cheaper than owning a vehicle at scale as it's not dependent on paying humans for driving.

1. Accessibility

Based on our research we realized that most autonomous vehicle companies are currently either in prototype stage or focused on early adopters and have not started designing for accessibility as a core function of the autonomous vehicles.

Vehicle Behaviors

Business Model

User Strategy

2. Busy Parent

 

We see a surge of ridesharing services for parents to help them with mobility for their children. We realized this is a gap - potentially saving hours of travel time daily for the parent. And also, a parent using a service for their child's mobility would be the epitome of trust.

Personas

Key Takeaways

The vehicles aren't capable of door to door mobility, but that doesn't mean that there aren't issues to solve for while getting in and out, and during the ride to ease the life of people with disabilities.

Key Takeaway

The most important part of this journey is that a service designed to alleviate their pain points and helping them gain back their time would help them spend more time with family - the right way.

Experience Principles

How might we

Create an enhanced autonomous riding experience that is accessible

So that

it increases trust and confidence while sharing contextual control and information

Empowered

To augment the user in more effortless craft. Insights and Information bring confidence to users actions.

Convenience

To be available to all user types, at any time, any place to promote independence.

Productivity

Take control of your time. Work, play, or sleep.
Customize as per your preferences.

Safety

Action and reassurance before data. Ongoing support provided by the operator.

“MAKE YOUR LIFE EASIER WITH IRIS”

We identify and deliver moments that matter most on your travel journey to create utility, convenience, value and effortlessness.

Experience Principles

Phase III
Prototype - 2

Accessibility in a scheduled rental trip

Meet Iris

Vehicle Renders by Nitin Sauran

Scenarios

Product Strategy

Service Map

We divided up the product experience based on the phases of the ride. Across these phases we looked at the numerous scenarios worth designing for with goals and insights in mind, while also thinking of outcomes based on the designed touch-points.

Board​
Face detection and unlock for easy access and opening of Wheelchair ramp.
Identify
 
Directed Sound
AR Windshield
External lights
AR Wayfinder on app
Safety
 
Communicating onboarding safety precautions for that type of ride.
Book
Different services for different users.
Accessibility features and booking adoptions.
Personalize
Customizing vehicle behaviors, controls and interior modes.
Ride
Home screens housing ride status, infotainment, control options.
Intention
 
Communicating vehicle behaviors, intent and status in case of hiccups along the way.
Emergency​
Emergency controls and protocols.
Ride End
End of trip safety and feedback options.
Setup​
Getting the family's (especially the children's) details for ease of use in multiple cases and then looking at types of rides that can be booked.
Phase III
Prototype - 1

Unaccompanied child & family scheduled multi-stop ride

Now lets go through the journey of a ride, designed for a parent to help their unaccompanied child in transit.

Onboard
 
Increasing awareness by educating riders about the service features and the tech behind it.
Book​
Different types of rides for different use cases.
Family options to add custom trip specifications like unaccompanied child, bike rack, etc.
Board​
Different services for different users
Identify
 
Helping the child identify and board the vehicle.
Personalize
Customizing vehicle behaviors, controls and interior modes for parent to monitor remotely. Home screens housing ride status, infotainment, control options.
Board​
Communicating onboarding safety precautions for that type of ride.
Emergency​
Emergency controls and protocols for parents monitoring remotely.
Intention
 
Communicating vehicle behaviors, intent and status in case of hiccups along the way. AR windows to show information of landmarks around to intrigue the children.
Ride End
End of trip safety and feedback options.
Arrival​
Ride arrival status with child mode options like child monitor.
Analogous Research
Phase II

Strategy

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