OPTIMIZING THE EVALUATION OF EYE TRACKING DATA TO VALIDATE REQUIREMENTS IN VIRTUAL SPACE TO IMPROVE CUSTOMER SATISFACTION

Christian ESSER, Robert REFFLINGHAUS

Abstract


This paper describes a concept to support the validation of customer requirements in the early phases of the product development process. Change requests or product malfunctions therefore can be identified earlier and resolved more cost-effectively. The advantages of the early requirements validation will be discussed. The differences between real prototypes and virtual prototypes will be discussed and elaborated on. The special features of eye tracking in stereoscopic virtual space will be shown. A small study will be presented, which helps to analyze the perception in virtual space. Thereby it will be dealt with the planning, implementation and evaluation. In addition, measures for optimizing data filtering are presented and explained exemplarily.


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