To See or Not To See – The Effect of Object Recognition on Users’ Trust for "Automated Vehicles"
Paper in proceedings, 2016

While automated vehicle technology progresses, potentially leading to a safer, more efficient traffic environment, many challenges remain within the area of human factors, such as user trust for Automated Driving (AD) vehicle systems. Previous research has focused on creating a guiding framework for implementing trust-related factors into the Human-Machine-Interaction (HMI) interface in automated vehicles. This paper presents the result of a first validation test of the trust framework. To test the factor “feedback” in the form of Object Recognition, three OR-concepts with different levels of system transparency were tested in a level 3 (NHTSA) Wizard of Oz vehicle. Results indicate that presenting feedback through OR can increase the level of trust for the system, and that users prefer moderation – neither too much nor too little feedback. The paper also demonstrates the framework’s usefulness in guiding HMI designers in the trust-based development process with the help of a well-defined design-space.

Object Recognition

Framework

Human-Machine Interaction (HMI)

Validation Test

Trust

Automated Vehicles/Systems

User

Author

Fredrick Ekman

Chalmers, Product and Production Development, Design and Human Factors

Mikael Johansson

Chalmers, Product and Production Development, Design and Human Factors

Jana Sochor

Chalmers, Product and Production Development, Design and Human Factors

Proceedings of the 9th Nordic Conference on Human-Computer Interaction – NordiCHI’16, Gothenburg, October 23-27, 2016

a42

Areas of Advance

Transport

Subject Categories

Transport Systems and Logistics

Human Computer Interaction

Other Social Sciences not elsewhere specified

DOI

10.1145/2971485.2971551

ISBN

978-1-4503-4763-1

More information

Created

10/8/2017