To evaluate the Kansei of interactive systems, such subjective evaluation methods as questionnaire are usually used, even though they have some demerits. We objectively evaluate a system by quantifying its sensation of excitement using biological signals when one feels something interesting, because such signals can supplement the demerits of questionnaires. Thus, by focusing on excitement to derive a wakuwaku model, in this study we built various wakuwaku systems and evaluated them. Based on the biological signals measured during evaluation experiments, we derived a model using a neural network, and concluded that we can evaluate a system by the derived model.

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