2023年度 人工知能学会全国大会（第37回）
2023年6月6日〜6月9日熊本城ホール(熊本県熊本市) ＋ オンライン
2023年度 人工知能学会全国大会（第37回）
2023年6月6日〜6月9日熊本城ホール(熊本県熊本市) ＋ オンライン
[2U5-IS-5-01]Investigation of a method for measuring affection and aversion by electroencephalography using images and odor stimuli
〇Nao Enoki1, Yukako Ito2, Yusuke Yokota3, Yasushi Naruse3, Ikuko Yairi1(1. Sophia University, 2. Graduate School of Science and Technology, Sophia University, 3. National Institute of Information and Communications Technology)
[[Online, Regular]]
This research had EEG measurement experiment using images and odor stimuli with the aim of establishing method for reading affection and aversion from brain information. In an odorless state, affection is distinguishable by existence of P600. It may be difficult to distinguish between indifference and aversion in an odorless state. N200 appeared more clearly when a bad odor was presented than in an odorless state or when presented with an aroma. This suggests the possibility of distinguishing preferences by looking at N200. It is thought to be possible to discriminate preferences by pattern matching by looking at N400 and P600. When presenting an aroma, only affection can be distinguished by looking at P600. This result is expected to be applied to marketing. In this research, N400 which had not been focused on in previous studies was observed. The possibility that N400 was some kind of reaction related to preference was found.