Human Factors in the Coming Age of Driverless Vehicle Jibo He, - - PowerPoint PPT Presentation

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Human Factors in the Coming Age of Driverless Vehicle Jibo He, - - PowerPoint PPT Presentation

Apr 27, 2023 265 likes •569 views

Human Factors in the Coming Age of Driverless Vehicle Jibo He, Ph.D., Associate Professor Department of Psychology Investment Partner, iBeeHub Incubator Jibo.He@Wichita.edu 1 2 2 About Jibo He 3 4 4 About Human Automation Interaction

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Human Factors in the Coming Age of Driverless Vehicle

Jibo He, Ph.D., Associate Professor Department of Psychology Investment Partner, iBeeHub Incubator Jibo.He@Wichita.edu

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About Jibo He

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  • Eye-trackers
  • Tobii, SMI eye-tracker, and SR Research Eyelink-eye tracker
  • Advanced driving simulator
  • Advanced flight simulator
  • Microsoft HoloLens
  • Smartphones & smartwatches
  • Google Glass
  • NeuroSky EEG sensors

About Human Automation Interaction Lab

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Driving Pleasure and Survival Needs

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Driving Pains

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Driving Difficulty

Telescopes Low Vision Driving Drunk Driving Distracted Driving Drowsy Driving

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“to err is human ”

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Driving Casualty

23 22 19 6 6 3 3 211

Top 10 global causes of liability loss by total value of claims (2011-2016)

Human Error Defective product/work Collision/crash

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Driverless Vehicle

“ A robotic vehicle that is designed to travel between destinations without a human

  • perator ”
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Sensors in Driverless Vehicle

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Sensors in Driverless Vehicle

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Brands of driverless vehicle

❖ General Motors ❖ Ford ❖ Mercedes Benz ❖ Volkswagen ❖ Chang An ❖ Tesla ❖ Baidu ❖ Google ❖ Audi ❖ Nissan ❖ BMW ❖ Volvo ❖ Didi ❖ Uber ❖ Toyota

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Automation levels of driverless vehicles

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“ to err is machine ”

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To err is machine,e.g. driverless vehicle

“ Telsa explained that the vehicle's sensors, which help to steer the car by identifying

  • bstructions, had failed to

recognize the white side of the tractor trailer against a brightly lit sky.”

Tesla driver killed in first fatal crash using Autopilot

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To err is machine,e.g. driverless vehicle

Google’s Self-Driving Car Caused Its First Crash

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Human Factors Issues for Driverless Vehicles

Situational Awareness

➢ Computer Vision Algorithms lack Situational Awareness (Level 3): project

the future actions of the elements in the environment

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Human Factors Issues for Driverless Vehicles

Trust & Complacency

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Human Factors Issues for Driverless Vehicles

Insurance and Legal Issues

➢ Federal Automated Vehicles Policy ❖Who must carry motor vehicle insurance ? ❖How to allocate liability when a crash occurs ? ➢ Insurance Information Institute ❖Liability laws might evolve to ensure autonomous vehicle technology advances are not brought to a halt.

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Human Factors Issues for Driverless Vehicles

➢ An Insurance Information Institute Pulse survey (2016) ❖ 55 percent of consumers: “would not ride in an autonomous

  • vehicle. ”

❖ 50 percent: “manufacturer should bear responsibility for an

accident”

❖ Only 25 percent : “willing to pay more for a driverless car to

cover the manufacturer’s liability in case of an accident.”

Customers Acceptance

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Human Factors Issues for Driverless Vehicles

“The hackers can take control

  • f the brakes, engine or other

components of a person's car remotely.” The Guardian (2016)

Security and Privacy

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Human Factors Issues for Driverless Vehicles

Control Take-Over

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Human Sensing Technologies

Fatigue Detection

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Human Sensing Technologies

✓Face recognition ✓Head tracking ✓Gaze tracking ✓Lip reading

Nvidia’s AI Co-Pilot at CES’2017

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Take-Home Message: Driverless Vehicle

“ A robotic vehicle that is designed to travel between destinations by integrating human factors & technology ”

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References

➢ He, J., Choi, W., Yang, Y., Lu, J., Wu, X., & Peng, K. (2017). Detection of driver drowsiness using wearable

devices: A feasibility study of the proximity sensor. Applied Ergonomics.

➢ He, J., Roberson, S., Fields, B., Peng, J., Cielocha, S., & Coltea, J. (2013). Fatigue detection using

  • smartphones. Journal of Ergonomics, 3(03), 1-7.

➢ Ren, Z., Wang, C., & He, J. (2013, June). Vehicle detection using Android smartphones. In Proceedings of

the Seventh International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Bolton Landing New York.

➢ Fields, B. M., He, J., Nepomuceno, J. A., Roberson, S., Plummer, B. A., Houdek, K. C., & Jain, N. (2014). U.S.

Patent No. 8,876,535. Washington, DC: U.S. Patent and Trademark Office.

➢ Seppelt, B. D., & Lee, J. D. (2007). Making adaptive cruise control (ACC) limits visible. International

journal of human-computer studies, 65(3), 192-205.