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To See or Not To See – The Effect of Object Recognition on Users’ Trust for "Automated Vehicles"

Fredrick Ekman (Institutionen för produkt- och produktionsutveckling, Design and Human Factors) ; Mikael Johansson (Institutionen för produkt- och produktionsutveckling, Design and Human Factors) ; Jana L. Sochor (Institutionen för produkt- och produktionsutveckling, Design and Human Factors)
Proceedings of the 9th Nordic Conference on Human-Computer Interaction – NordiCHI’16, Gothenburg, October 23-27, 2016 (2016)
[Konferensbidrag, refereegranskat]

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.

Nyckelord: Human-Machine Interaction (HMI), Automated Vehicles/Systems, Trust, Framework, User, Validation Test, Object Recognition



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Denna post skapades 2016-07-04. Senast ändrad 2016-07-04.
CPL Pubid: 238864