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TECHNOLOGY 29
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as Medical Science, Psychology, and Biology, particularly for Aesthetic computation is an important branch of computational
emotion evaluation. The GSR reflects the conductivity of the aesthetics that emphasises the use of computers and algorithms
skin and correlates with emotional arousal, especially in the to understand, simulate, and enhance the human process of
domain of user aesthetic experience design. EKG refers to perceiving and appreciating beauty.

the heart’s electrical activity. In the research of aesthetic computation, designers usually
EEG research found that humans continuously generate adopt the method based on subjective quantification, i.e.,
brainwaves. The electrical potential changes in the brain subjective scoring based on personal aesthetic preferences or
caused by the spontaneous activity of groups of brain cells questionnaires, and then compensating quantitative assessment
are called spontaneous electrical potentials and form the basis of the scoring results through various mathematical methods.
for generating Event-Related Potentials (ERPs). In order to more accurately measure the aesthetic
ERPs denote brain electrical activity changes when subjected properties of quantified products, the scientific foundations
to or removed from external stimuli. Most EEG responses of computational aesthetics and aesthetic computing need
and emotional ERPs are induced by complex visual stimuli. to be further explored and developed.

ERPs are mainly applied in neurological research, such This includes the construction of more accurate, scientific
as the study of ERPs in patients with epilepsy and the brain models of aesthetics that capture and quantify aspects of
mechanisms induced by face recognition. Its application in beauty more comprehensively. This may require interdisciplinary
the design field is relatively limited, and research is sparse, collaborations covering fields such as mathematics, psychology,
mainly focusing on industrial products and clothing design. and computer science to develop more reliable theoretical
As for the multimodal measurement method, Scherer frameworks and assessment methods.
pointed out that it could be utilised to measure people’s For products with complex or irregular image forms, new

emotions because of the complex components. Additionally, methods of measurement and quantification need to be
Guo, Cao, Ding, Liu, and Zhang stated that this method can explored. This may involve more advanced image processing
evaluate users’ emotional experiences. techniques, machine learning algorithms, and computer vision
Generally, there have been few studies on emotional methods to more accurately analyse and assess the aesthetic
measurements using multiple techniques, particularly in furniture characteristics of these products.
design. This study aimed to determine the physiological There is also a need to strengthen research on the
mechanisms evoked by preferences and the relationship relationship between the objective and the subjective in order
between emotional evaluation and design elements. to understand the link between individual aesthetic preferences
Moreover, this study will help optimise product design,

promote the development of the entire material and furniture
production industry, and improve the quality of people’s lives.

Aesthetic Evaluation
Computational aesthetics is an interdisciplinary field involving
the disciplines of computer science, artificial intelligence,
cognitive science, and aesthetics, and aims to study computer-

generated art and design, as well as human perceptions and
evaluations of their aesthetic experiences.