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The Psychological and Statistical Design Method for Co-Creation HMI Applications in the Chinese Automotive Market
ISSN: 0148-7191, e-ISSN: 2688-3627
Published March 28, 2017 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
The automotive industry is dramatically changing. Many automotive Original Equipment Manufacturers (OEMs) proposed new prototype models or concept vehicles to promote a green vehicle image. Non-traditional players bring many latest technologies in the Information Technology (IT) industry to the automotive industry. Typical vehicle’s characteristics became wider compared to those of vehicles a decade ago, and they include not only a driving range, mileage per gallon and acceleration rating, but also many features adopted in the IT industry, such as usability, connectivity, vehicle software upgrade capability and backward compatibility. Consumers expect the latest technology features in vehicles as they enjoy in using digital applications in laptops and mobile phones. These features create a huge challenge for a design of a new vehicle, especially for a human-machine-interface (HMI) system.
A typical New Product Introduction (NPI) cycle in the automotive industry may range between two and five years, but rapidly changing technologies in the IT industry may evolve into a next generation in just three to six months. The traditional design methodologies in the automotive industry usually require clear boundary conditions before a team can develop a device or system in a vehicle. The definition of boundary conditions is based on empirical data or market survey results. For example, Many OEMs utilize Quality Function Deployment (QFD) to transform customer needs into the design of engineering functions and detailed parameters. However, due to the intersection of the automotive industry and the IT industry, the boundary conditions for a human-machine-interface (HMI) system become unstable, and it is risky to design a HMI system based on the assumption that the boundary conditions will not change during a NPI cycle. With the fast growing autonomous technologies, a modern vehicle may have a totally different HMI system compared to that of traditional cars.
With more and more disruptive technologies are introduced in the automotive industry, customers’ voices also became blurring. Sometimes, the majority of customers do not know a future trend and whether they will like these changes. If a development team design a HMI system purely based on the history data or market surveys, the team may lose a foresight. This paper discusses a design method for a modern vehicle’s HMI system. A persona is introduced in the design process and co-creation is utilized to generate design options. A final solution is selected based on psychological and statistical analysis. A design case for the Chinese Automotive market is also elaborated in the paper as an example.
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CitationLi, X., Ge, X., and Wang, Y., "The Psychological and Statistical Design Method for Co-Creation HMI Applications in the Chinese Automotive Market," SAE Technical Paper 2017-01-0650, 2017, https://doi.org/10.4271/2017-01-0650.
Data Sets - Support Documents
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- Automotive Revolution-Perspective towards 2030 Mckinsey&Company Jan 2016
- Wetzel , R. Technology and Trends on HMI for Vehicle Information SAE Technical Paper 2013-36-0497 2013 10.4271/2013-36-0497
- G , V. State of the Art Technologies in Automotive HMI SAE Technical Paper 2014-01-0258 2014 10.4271/2014-01-0258
- Shimizu , T. , Nanbu , T. , and Sunda , T. An Exploratory Study of the Driver Workload Assessment by Brain Functional Imaging Using Onboard fNIRS SAE Technical Paper 2011-01-0592 2011 10.4271/2011-01-0592
- Gheorghe , L. and Sunda , T. Brain Waves Measurement Based Evaluation of Mental Workload Related to Visual Information While Driving SAE Int. J. Passeng. Cars - Mech. Syst. 4 1 578 585 2011 10.4271/2011-01-0593
- Hofstede , G. Cultures and Organizations: Software of the Mind McGraw-Hill New York 1997
- Hofstede , G. Culture’s Consequences: Comparing Values, Behaviors, Institutions, and Organizations Across Nations Second Thousand Oaks CA Sage Publications 2001
- Khan , T. and Williams , M. A Study of Cultural Influence in Automotive HMI: Measuring Correlation between Culture and HMI Usability SAE Int. J. Passeng. Cars - Electron. Electr. Syst. 7 2 430 439 2014 10.4271/2014-01-0263
- Kahneman , Daniel 2011 Introduction Thinking, Fast and Slow. Farrar, Straus and Giroux 978-1-4299-6935-2
- Akao , Y. 1990 Quality Function Deployment Productivity Press Cambridge MA
- Ziolek , S. , Smythe , L. , and O’Bannon , T. Alternative Statistical and Psychological Methods for Interpreting Large-scale Seat Comfort Surveys SAE Technical Paper 2009-01-1159 2009 10.4271/2009-01-1159
- Alcazar , J. Consumer Sensitivity to Vehicle Interior Component Adjustments SAE Technical Paper 2012-01-0075 2012 10.4271/2012-01-0075
- Sheridan , T. , Meyer , J. , Roy , S. , Decker , K. et al. Physiological and Psychological Evaluations of Driver Fatigue During Long Term Driving SAE Technical Paper 910116 1991 10.4271/910116
- Competing for the connected customer-perspectives on the opportunities created by car connectivity and automation Mckinsey&Company Sep 2015
- Nagamachi , M. Kansei Engineering and its Applications in Automotive Design SAE Technical Paper 1999-01-1265 1999 10.4271/1999-01-1265
- Webpage of Hasso Plattner Institute of Design at Stanford University http://dschool.stanford.edu/use-our-methods/
- CBi China Bridge Case Study- Improvement of the Design and Process of New Product Introduction via Innovative Solutions May 2015
- Regev , I. and Ku , J. HMI Design for Increasing Vehicle Energy Efficiency by Affecting Driving Habits SAE Technical Paper 2013-01-0570 2013 10.4271/2013-01-0570