/Unique Immersive Simulator Tests ‘Trust’ Between Humans and Self-driving Cars

Unique Immersive Simulator Tests ‘Trust’ Between Humans and Self-driving Cars

Credit: Alex Dolce, Florida Atlantic University
(From left): FAU graduate student Shervin Shahrdar and Mehrdad Nojoumian, Ph.D., an assistant professor in FAU’s Department of Computer and Electrical Engineering and Computer Science, test human trust in the immersive simulator.

Summary: Researchers in FAU’s College of Engineering and Computer Science have developed a unique immersive simulator that provides a convincingly lifelike virtual reality simulation to test trust between humans and self-driving cars.

Original author and publication date: Florida Atlantic University – January 9, 2020

Futurizonte Editor’s Note: Do we (humans) really trust self-driving cars? Should we trust them? After all, they are self-driving devices made by humans.

From the article:

Mass production of autonomous vehicles is expected to soar by the early 2020s. Consumers have high expectations and a high degree of skepticism when it comes to self-driving cars. According to a World Economic Forum study, consumers are very reluctant to consider purchasing, or even trying autonomous vehicles because of safety, control, and faulty behavior concerns. The issue of trust is a primary challenge for industry professionals trying to popularize the use of fully autonomous systems.

Research on the physiological responses and fluctuations in trust levels of passengers of self-driving cars is sparse and most research to date has used online surveys and primitive simulations for their experiments rather than realistic, immersive simulations.

Researchers from Florida Atlantic University’s College of Engineering and Computer Science have introduced a new approach to measure trust between passengers and self-driving cars in real-time. Their unique, immersive virtual reality (VR) simulation combines visual, audio and movement engagement that provides a convincingly realistic simulation. The simulator they have developed provides a safe platform to expose human subjects to any trust-damaging incidents such as sharp turns, sudden stops, stoplight violations, speeding, tailgating, unexpected accidents, among others. The simulation incorporates a VR headset with a motion chair using 360-degree videos of actual driving scenarios recorded in South Florida’s roads and highways.

“The sequential and structured data collection, various trust states, and the realistic simulation platform we have developed are what makes our research methodology so novel,” said Mehrdad Nojoumian, Ph.D., an assistant professor in FAU’s Department of Computer and Electrical Engineering and Computer Science. “Our simulation approach is helping us to understand how the human mind goes from one specific trust-state to another one in a sequence of events as we gauge various levels of trust and distrust in real-time.”

Nojoumian’s first research project, in collaboration with FAU graduate students Shervin Shahrdar and Corey Park, was an empirical experiment on 50 human subjects, which demonstrated efficacy for collecting real-time data utilizing this simulation method.

“Results from our first experiment indicated that trust levels of humans change depending on the self-driving style. The majority of study participants were able to moderately rebuild their trust in the simulated self-driving car after faulty and erratic behaviors,” said Shahrdar.

“The autonomous driving style directly influences the trust of the passengers in the system. For example, aggressive driving diminishes trust, and defensive, predictable driving increases and builds trust.”

READ the complete original story here.