@inproceedings{7b7c098db89c4505b9a1620b13da4b8b,
title = "Characterizing the EEG features of inspiring designers with functional terms",
abstract = "This paper constructed an inspiring database containing functional terms, which was taken as the source of external stimuli provided to designers. We obtained EEG of two groups of designers based on design experiment. One group is provided with closely related functional terms, while another group is provided without stimuli. After processing these EEG, we found that there are different characteristics in the EEG for the two groups of designers. Our experimental results provide a basis for the study of design thinking using EEG.",
keywords = "EEG features, Functional term, Inspiring designer",
author = "Qian Zhang and Jia Hao and Qing Xue and Yu Yan",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 20th International Conference on Human-Computer Interaction, HCI 2018 ; Conference date: 15-07-2018 Through 20-07-2018",
year = "2018",
doi = "10.1007/978-3-319-91238-7_30",
language = "English",
isbn = "9783319912370",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "371--381",
editor = "Masaaki Kurosu",
booktitle = "Human-Computer Interaction. Theories, Methods, and Human Issues - 20th International Conference, HCI International 2018, Proceedings",
address = "Germany",
}