Methodology of Interactive Design and Study Using Driving Simulator C1932

Topics: Advanced Technologies

Driving simulator is a key component of automotive interactive design, which can provide objective data to support both the effectiveness of design and user experience. On the other hand, driving simulator and the design of its experiments are major challenges, as improper experiment design will lead to consequences such as failure in identifying designing errors of the interactive design itself. Therefore, this course will mainly introduce the technological approaches of driving simulators such as experimental methods, process, design and data analysis, and try to achieve the best learning results through actual experiments on driving simulators.

Learning Objectives

By attending this seminar, you will be able to:

  • Understand the basic theories and methods of experimenting on driving simulators
  • Explain the design and process of driving simulators
  • Analyze data generated from driving simulators
  • Understand the international standards and test methods of driving simulators
  • Master the actual process and operation of driving simulators

Who Should Attend

Industrial design engineer, automotive electronics engineer, interactive design, intelligent cockpit, intelligent network, intelligent driving, industrial design, automotive electronics


Front-line staff and middle-level managers engaged in the design and verification of interactive functions of active safety and automated driving interface

  • The basics of the simulator theory
  • Introduction of driving simulators
    • The concept and basic introduction of simulators
    • Software and hardware requirements of driving simulator
    • Limitations of driving simulator and how to break limitations by using experimental methodology
    • Driving simulator demonstration
  • Methodology of simulator experiment
    • Methods and concepts
  • Study of user demand and experiment design
    • Study of user demand
    • Designing questionnaires
    • Translating demand into experiment design
  • Experiment design
    • Classic scenario
    • Experiment process
  • Simulator experience
    • How to be a proper experimenter
    • Subject experience
  • Designing simulator experiment
    • Autopilot and ADAS system
    • In-vehicle infotainment system
  • Analysis and evaluation of data generated from simulators
    • Methods of data analysis – how to organize and observe data?
    • Evaluation method - how to explain the phenomenon from the data?
    • How the experimental results affect the design?
Chen Fang

Doctoral Supervisor, Interactive Design Major, Department of Computer Science, Chalmers University of Technology in Sweden

Chen Fang graduated from the Department of Biology in Peking University in 1983. Since then, she has been working in Sweden on studies of human-machine interaction and ergonomics. Her research covers a wide range of fields, including the interactive design of fighter cockpit, the interactive design of public safety facilities, websites, APPs, games and so on. For the past 14 years, her main focus has shifted to the interactive design in vehicles. She has published more than 100 articles in international magazines and conferences, and holds a tenure position as professor in Chalmers University of Technology. As a world expert in the field of automotive interaction, she has also participated in developing several EU standards in the field

Part of her international positions

  • Member of Advisory Board, SAFER (Vehicle and Traffic Safety Centre at Chalmers) (since 2006)
  • Member of Expert Panel, Sweden National Program OPTIVe (2005-2009)
  • Member of Expert Panel, Sweden National Program EFESOS (since 2009)
  • Member of International Expert Panel, APCHI (since 2006)
  • Member of International Expert Panel, HCI (2006-2007)
  • Member of International Expert Panel, ISCRAM (since 2010)


Duration: 2 Days

Fees: $1299.00

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