PROJECT TITLE

Examination of the Effectiveness of Knowledge and Skill-based Training Methods on Supporting Drivers’ Better Understanding and Towards Level 2 and 3 Automated In-vehicle Control Systems

PRIMARY INVESTIGATOR

Shan Bao, PhD
Assistant Research Scientist, Human Factors Group, U-M Transportation Research Institute

PROJECT DATES

May 2016 – April 2018

PROJECT TEAM

Fred Feng, PhD
Research Fellow, U-M Transportation Research Institute

Bochen Jia, PhD
Assistant Professor, Industrial and Systems Manufacturing Engineering, U-M Dearborn

Anuj Pradhan, PhD
Assistant Research Scientist, Human Factors Group, U-M Transportation Research Institute

John Sullivan, PhD
Associate Research Scientist, Head, Human Factors Group, U-M Transportation Research Institute

OBJECTIVE

The proposed study aims to examine the efficacy of multiple knowledge and skill-based training strategies on drivers’ safe operation and trust calibration when interacting with in-vehicle systems of varying degrees of automation.

APPROACH

Both knowledge and skill-based training strategies regarding different levels of automation controls will be developed and evaluated by using both the UMTRI automated simulator and the Mcity track.  Both objective performance and subjective rating data from a total of twenty driver participants will be collected and compared.  The analytic design of the experiment employs a mixed model design.

OUTCOMES

Four main outcomes are expected from this study:

  1. Development of knowledge-based text and video training materials on the functionalities and limitations of level 2 and level 3 automated in-vehicle systems.
  2. Development of a skill-based training platform on a driving simulator with an intelligent tutoring system that allows the driver to interact with a simulated automated in-vehicle system.
  3. Measurement of driver’s performance and trust towards level 2 and level 3 automated vehicle control systems, and development of scientific testing methods that could compare the different training methods.
  4. Recommendation of training requirements that may be needed for other emerging automated driving concepts.

|