Evaluation method of human-vehicle tactile interaction experience based on EEG
| Autor: | Zhigao Lei, Qijie Zhao, Shuhang Han, Yaohui Kong |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
medicine.diagnostic_test Computer science media_common.quotation_subject Process (computing) 02 engineering and technology Electroencephalography Touchpad Affect (psychology) 03 medical and health sciences Qualitative analysis Feeling Human–computer interaction 020204 information systems Frequency domain Evaluation methods 0202 electrical engineering electronic engineering information engineering medicine 030304 developmental biology media_common |
| Zdroj: | 2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). |
| Popis: | Aiming at the problem of human-vehicle tactile interaction experience evaluation, this paper proposed a method based on the combination of EEG signals and subjective scoring evaluation. Generally, the evaluation method of human-machine interaction experience is based on the user's subjective evaluation. This kind of method causes the inaccuracy of the evaluation because different people have different judgments on feelings. This paper built a simulated driving environment, collects the EEG signals of the subjects in the interaction process of a car touchpad in different modes, and preprocesses, extracts and analyzes the signals. Then combining the user's subjective score evaluation to achieve an effective combination of quantitative analysis and qualitative analysis. The experimental results show that different modes of the tactile interaction system will affect users to generate EEG signals with different characteristics. The method of subjective and objective fusion can make the evaluation of human-vehicle tactile interaction experience more comprehensive. |
| Databáze: | OpenAIRE |
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