Abstract
Eye tracking is the process of recording a person’s eye movement for the better understanding of his/her’s visual perception. Due to low costs and highly accurate systems the process of eye tracking is used in devices and applications to increase computer interaction and to study human behavior. Eye tracking is used in a wide range of applications but is almost absent in the engineering domain.
The cause could be that engineering is an exact science and product design is based on a rigorous set of physical, functional and legal constraints. This study deals with the usage of the Eye tracking technique in the automotive environment. In particular it will be used to optimize the quality assurance of paint and the manufacturing of head-up displays in automotive manufacturing. The objective of the studies is to examine the quality assurance cycles with regard to optimized working conditions and improved production quality.
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Niemann, J., Fussenecker, C., Schlösser, M. (2019). Eye Tracking for Quality Control in Automotive Manufacturing. In: Walker, A., O'Connor, R., Messnarz, R. (eds) Systems, Software and Services Process Improvement. EuroSPI 2019. Communications in Computer and Information Science, vol 1060. Springer, Cham. https://doi.org/10.1007/978-3-030-28005-5_22
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DOI: https://doi.org/10.1007/978-3-030-28005-5_22
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