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Interdisciplinary research methods bring about more opportunities for designers to understand the users and predict some problems that hard to clarify by traditional methods. This study takes the elder-friendly low-speed vehicles design as an example, discussing the rationality of some quantitative methods introduced from other fields. By means of protocol analysis (PA), low-speed vehicles that are suited for elder drivers are checked out. After calculating and T-testing the results, two kinds of driving styles are sorted out for the experiment. The collected data include the subjects' heart-rate, finger moving times and operations' finishing time. By means of multiple linear regression and logistic regression, senior people's driving behavioral model is built to clarify their physical and mental characteristics. According to the results, a prototype design is proposed. The set of feasible methods used in the research process is sorted out for solving other similar issues targeting relative product design.
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