The potential of gamification for user education in partial and conditional driving automation: A driving simulator study
The potential of gamification for user education in partial and conditional driving automation: A driving simulator study
By Sophie Feinauer, Lea Schuller, Irene Groh, Lynn Huestegge, and Tibor Petzoldt
Abstract
“Drivers must establish adequate mental models to ensure safe driver-vehicle interaction in combined partial and conditional driving automation. To achieve this, user education is considered crucial. Since gamification has previously shown positive effects on learning motivation and performance, it could serve as a measure to enhance user education on automated vehicles. We developed a tablet-based instruction involving gamified elements and compared it to instruction without gamification and a control group receiving a user manual. After instruction, participants (N = 57) experienced a 30-minute automated drive on a motorway in a fixed-base driving simulator. Participants who received the gamified instruction reported a higher level of intrinsic motivation to learn the provided content. The results also indicate that gamification promotes mental model formation and trust during the automated drive. Taken together, including gamification in user education for automated driving is a promising approach to enhance safe driver-vehicle interaction.”
Reference
Feinauer, S., Schuller, L., Groh, I., Huestegge, L., & Petzoldt, T. (2022, October). The potential of gamification for user education in partial and conditional driving automation: A driving simulator study. Retrieved November 1, 2022, from https://www.sciencedirect.com/science/article/abs/pii/S1369847822001760
Keyword
Automated driving, gamification, mental model, motivation, mode awareness, research