EEG-Based Evaluation of Aesthetic Experience Using BiLSTM Network

• Published in: International journal of human-computer interaction Vol. 40; no. 23; pp. 8166 - 8179
• Main Authors: Wang, Peishan, Feng, Haibei, Du, Xiaobing, Nie, Rui, Lin, Yudi, Ma, Cuixia, Zhang, Liang
• Format: Journal Article
• Language: English
• Published: Norwood Taylor & Francis 01.12.2024; Lawrence Erlbaum Associates, Inc
• Subjects: Aesthetic design; aesthetic experience; Aesthetics; Algorithms; Arousal; deep learning; EEG; Electroencephalography; Entropy (Information theory); Machine learning; physical product evaluation; Product development

Evaluation of aesthetic design fulfills a pivotal function in product development, which urges for an efficacious objective method to measure customers' experience. The stability and effectiveness of electroencephalography (EEG) make it a suitable tool for aesthetic experience measurement. Neve...