Author(s)

Trevor Hyman^*, Wayne Li

Human-Machine Interaction Lab, School of Industrial Design, College of Design, Georgia Institute of Technology, Atlanta, USA.

The automotive seat market is positioned to significantly grow over the next five years. Research into how sensor implementation in every day driver cars can enhance driver wellness is becoming increasingly popular and visible in the automotive seat industry. However, in the competitive race car industry, drivers prioritize driving ability over wellness. To further examine this phenomenon, the Human-Machine Interaction Lab at the Georgia Institute of Technology took a unique approach to developing strong use cases for implementing sensor technology to improve driving ability for race car drivers by combining qualitative and quantitative research data obtained through modern design research and planning methodology. Following a process relying heavily on user-centered design methods, the authors developed a business case concept for a sensor-based seat accessory that acts as a competitive racer’s driving coach that is able to identify the mechanics of braking, turning, and accelerating through pressure sensors in the driver’s seat pan surface. This technology allows drivers to precisely understand when and how hard to brake, turn, or accelerate out of turns, thus reducing heat times and financial burden for drivers.

Design Research, Design Planning, Automotive, Engineering Design, Racing Accessories, Seat Design, Georgia Tech, Industrial Design, HMI Lab

Hyman, T. and Li, W. (2018) Engineering Intelligent Racing Concepts Using Design Research Methods. World Journal of Engineering and Technology, 6, 420-440. doi: 10.4236/wjet.2018.62026.