Systematic review on using biofeedback (eeg and infrared thermography) to evaluate emotion and user perception acquired by kansei engineering

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Abstract

KANSEI Engineering (KE) [1] was created at Hiroshima University about 30 year ago and it is well known in the world at present as an ergonomic customer-oriented product development technology. It is a method for translating sensations and impressions into product parameters. The objective of KE is to study the relationship between product forms and KANSEI images. However, the KE method is based on the analysis of human subjective factors, customer’s psychological feelings and needs, which is transformed in product design parameters. The customer’s psychological feelings and needs are usually acquired by subjective tools. The questions which arises is if these subjective tools reflect the real customer needs. Nowadays, some scholars have recently started using biofeedback to evaluate the emotions of human interaction with products. Some studies have shown that EEG and Infrared Thermography measurements can help reduce subjective interpretation in data and improve user perception in their interactions with products. This systematic literature review aims to search the references on EEG, Infrared Thermography, Kansei Engineering and emotion. It will serve as a support for further researches to check if is possible to include biofeedback tools to contribute to subjective analyzes.

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Zeng, J., Soares, M. M., & He, R. (2020). Systematic review on using biofeedback (eeg and infrared thermography) to evaluate emotion and user perception acquired by kansei engineering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12200 LNCS, pp. 582–593). Springer. https://doi.org/10.1007/978-3-030-49713-2_40

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