Bridging the Automated Vehicle Gap: Consumer Trust, Technology and Liability

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Bridging the Automated Vehicle Gap: Consumer Trust, Technology and Liability Tina Georgieva Senior Attorney, Product Safety Group Miller Canfield Kristin Kolodge Executive Director, Driver Interaction and HMI J.D. Power

Integrating the Consumer into the Automated Driving System (ADS) Development Process Consumer Expectations Legal Practitioners 2

Trust or Experience First? 2018 J.D. Power and Miller Canfield. All Rights Reserved. Automated Vehicles Symposium 2018 3

Trust is Centric to ADS Success LIABILITY FRAMEWORK Transparency Responsibility Just resolution SAFETY STANDARDS Industry, Government, Insurance Assurance Standardization CONSUMER EXPERIENCE Actual usage vs. Expected usage Satisfaction CONSUMER INTEREST ADS TRUST ECOSYSTEM Trust drives interest in automation Purchase intention UNDERSTANDABILITY Naming convention Education / Training Industry / Media messaging PERFORMANCE EXPERIENCE False positives / False negatives Humanistic behavior Consistency of performance Predictability 4

Willingness to Ride in ADS How likely would you be to ride in a fully autonomous, self-driving vehicle without a human driver s input? 33% 29% 14% 17% 6% Definitely Would Probably Would Probably Would Not Definitely Would Not Don't Know Source: 2018 Miller Canfield/J.D. Power Automated Vehicles: Liability Crash Course 5

Willingness to Ride in ADS How likely would you be to ride in a fully autonomous, self-driving vehicle without a human driver s input? 14% 33% 29% Definitely Would Probably Would Probably Would Not 17% Definitely Would Not 6% Don't Know Assuming the self-driving vehicle met ALL government safety standards, how likely would you be to ride in one? 52% 26% 2% 16% 5% Definitely Would Probably Would Probably Would Not Definitely Would Not Don't Know Source: 2018 Miller Canfield/J.D. Power Automated Vehicles: Liability Crash Course 6

Our Communication Influences Consumer Perception, Acceptance and Trust of ADS http:// gigazine.net/gsc_news/en/20171109-self-driving-shuttle-bus-crash 2018 J.D. Power and Miller Canfield. All Rights Reserved. Automated Vehicles Symposium 2018 7

Self-Driving Consideration Factors Change Over Time January 2017 Largest Concern of Self-Driving Vehicle September 2017 I do not see any concerns 80% Possible technology All of the above failures/errors 60% All of the above I do not see any concerns 80% 60% Possible technology failures/errors Safety 40% 20% Legal liabilities if an accident occurred Safety 40% 20% Legal liabilities if an accident occurred Accidents 0% Possibility of vehicles being hacked Accidents 0% Possibility of vehicles being hacked Giving up the fun of driving Ability for driver to do other things while vehicle is driving Learning how to operate an autonomous vehicle More driver stress from vehicle self-driving Giving up the fun of driving Ability for driver to do other things while vehicle is driving Learning how to operate an autonomous vehicle More driver stress from vehicle self-driving J.D. Power defines the generations as Pre-Boomers (born before 1946); Baby Boomers (1946-1964); Gen X (1965-1976); Gen Y (1977-1994); Gen Z (1995-2004). Gen Z Gen Y Gen X Baby Boomers Pre-Boomers Sources: 2017 J.D. Power U.S. Tech Choice Study and 2018 Miller Canfield/J.D. Power Automated Vehicles: Liability Crash Course 8

Self-Driving Consideration Factors Change Over Time January 2017 Largest Benefit of Self-Driving Vehicle September 2017 Helpful for senior citizens or disabled Ability for drivers to do other things while vehicle is driving I do not see any benefits 50% 40% 30% 20% 10% 0% Fewer accidents Lower insurance premiums Helpful for senior citizens or disabled Ability for drivers to do other things while vehicle is driving I do not see any benefits 50% 40% 30% 20% 10% 0% Fewer accidents Lower insurance premiums Less driver stress Less traffic congestion Less driver stress Less traffic congestion Inproved fuel economy J.D. Power defines the generations as Pre-Boomers (born before 1946); Baby Boomers (1946-1964); Gen X (1965-1976); Gen Y (1977-1994); Gen Z (1995-2004). Gen Z Gen Y Gen X Baby Boomers Pre-Boomers Inproved fuel economy Sources: 2017 J.D. Power U.S. Tech Choice Study and 2018 Miller Canfield/J.D. Power Automated Vehicles: Liability Crash Course 9

Consumer ADS Intended Learning Process How do you intend to learn about how to properly operate a self-driving vehicle? Willing to Take Additional Training for ADS Designation on Driver s License? 49% 47% 38% 31% 27% 20% 10% 8% 25% Definitely Would Probably Would Probably Would Not 3% 1% 1% 37% Definitely Would Not Don't Know Dealer explanation or Driver's education Training videos demonstration course for selfdriving vehicles Owner's manual Self-taught, Do not plan to learn by doing learn/not interested* Other* Don't know / None of the Above* Source: 2018 Miller Canfield/J.D. Power Automated Vehicles: Liability Crash Course 10

ADS Dispute Resolution Patterns Voice of the Consumer A crash occurring at a higher automation level increased respondents : Willingness to litigate Desire to seek dispute resolution options with a longer duration for resolution Expectation of no crashes, especially for Level 5 Clarity of fault (i.e., consumer perception: fully automated self-driving vehicle (Level 5) inherently means the vehicle is at fault) Emotional state Desire to bring public awareness Source: 2018 Miller Canfield/J.D. Power Automated Vehicles: Liability Crash Course 11

Many Consumers Expect No ADS crashes Perception that crashes should not occur with ADS Consumers hold ADS to a higher safety standard Emotions increase as the level of automation increase mainly due to the driver becoming a passenger Critical to align consumer expectations to the product s capability Level 5, Full Automation Verbatim I d expect the car to be safer and tested and would blame the company for any accident. Should never happen. B/c of car is supposed to be good shouldn't be in an accident. Because it is supposed to be a safe vehicle & there was a serious injury need to know why it happened & to prevent it from happening again. I would be MAD and HORRIFIED and would want to make a spectacle of the case. Source: 2018 Miller Canfield/J.D. Power Automated Vehicles: Liability Crash Course 2018 J.D. Power and Miller Canfield. All Rights Reserved. Automated Vehicles Symposium 2018 12

Consumers are willing to share their ADS vehicle data after a crash. The most common motivation: to help the greater good Willingness to Share ADS Vehicle Data After A Crash 8% 17% Definitely / Probably Would Not Definitely / Probably Would Don't know 74% Source: 2018 Miller Canfield/J.D. Power Automated Vehicles: Liability Crash Course 2018 J.D. Power and Miller Canfield. All Rights Reserved. Automated Vehicles Symposium 2018 13

Legal Practitioners Voice Both sides agree: Costs to litigate product liability for ADS will increase dramatically ADS provides an opportunity for legal claims to be resolved out of court through ADR Availability of additional crash data would accelerate resolution and support ADR Most focus is on Level 5 with little consideration given to the complexities of shared control (Level 3) Opportunity: Create a workable ADR framework to bridge the gap, creating stronger relationships between manufacturers and consumers by means of transparency and equity 14

Severity of Injury is the Primary Factor Alternative Dispute Resolution (ADR) Preference Non-Life Threatening Injury Death or Serious Injury Don't know Would not pursue a legal claim 50% 40% 30% 20% 10% 0% Claim resolved quickly (1-3 months) in an out of court, private proceeding with lower financial recovery Don't know Would not pursue a legal claim 50% 40% 30% 20% 10% 0% Claim resolved quickly (1-3 months) in an out of court, private proceeding with lower financial recovery Claim resolved slower (24 months or more) in a public hearing or trial with opportunity for larger financial recovery Claim resolved (4-12 months) in an out of court, private proceeding with one-time lump sum settlement Claim resolved slower (24 months or more) in a public hearing or trial with opportunity for larger financial recovery Claim resolved (4-12 months) in an out of court, private proceeding with one-time lump sum settlement Level 0 Level 3 Level 5 Source: 2018 Miller Canfield/J.D. Power Automated Vehicles: Liability Crash Course 15

Trust is Centric to ADS Success LIABILITY FRAMEWORK Transparency Responsibility Just resolution SAFETY STANDARDS Industry, Government, Insurance Assurance Standardization CONSUMER EXPERIENCE Actual usage vs. Expected usage Satisfaction CONSUMER INTEREST ADS TRUST ECOSYSTEM Trust drives interest in automation Purchase intention UNDERSTANDABILITY Naming convention Education / Training Industry / Media messaging PERFORMANCE EXPERIENCE False positives / False negatives Humanistic behavior Consistency of performance Predictability 16

Thank You Tina Georgieva georgieva@millercanfield.com Kristin Kolodge kristin.kolodge@jdpa.com 2018 J.D. Power and Miller Canfield. All Rights Reserved. Automated Vehicles Symposium 2018 17