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Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) 2/2020

20.01.2020 | Original Paper

Research on the construction method of kansei image prediction model based on cognition of EEG and ET

verfasst von: Mingqing Yang, Li Lin, Zhiang Chen, Ling Wu, Zhuen Guo

Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) | Ausgabe 2/2020

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Abstract

In order to more accurately predict kansei image of user when they interact with a product, and help designer to design a product that meets user’s emotional appeal from a user-centric perspective, a method for constructing kansei image prediction model from a more objective perspective of eye–brain physiological cognition was presented in this paper. Firstly, deconstructing product shape to obtain form design elements, and then recombining those elements in different ways to get experimental samples. Next, EEG and ET techniques were introduced to obtain bioelectric data of eye–brain physiological cognition when subjects view the experimental samples, and a space containing user kansei needs was established. Finally, the kansei image value of the product, the form design elements, and eye–brain physiological data were associated together to establish a kansei image prediction model. To verify the effectiveness of this model, smartphones were used as validation cases in this research. User’s kansei prediction model for smartphones was established based on subjects’ evaluation of 30 experimental samples, and the model’s performance was evaluated by a comparison verification method. The research results showed that the kansei image prediction model based on eye–brain physiological cognition can more accurately predict kansei image in the process of user interaction with product, thus helping the designer to find out the key product from that trigger kansei image, and design a product that was more in line with the user’ kansei experience.

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Literatur
2.
Zurück zum Zitat Nagamachi, M.: Kansei/Affective Engineering. CRC Press, Boca Raton (2016)CrossRef Nagamachi, M.: Kansei/Affective Engineering. CRC Press, Boca Raton (2016)CrossRef
3.
Zurück zum Zitat Nagamachi, M., Lokman, A.M.: Innovations of Kansei Engineering. CRC Press, Boca Raton (2016)CrossRef Nagamachi, M., Lokman, A.M.: Innovations of Kansei Engineering. CRC Press, Boca Raton (2016)CrossRef
4.
Zurück zum Zitat Mahut, T., Bouchard, C., Omhover, J.F., Favart, C., Esquivel, D.: Interdependency between user experience and interaction: a Kansei design approach. Int. J. Interact. Des. Manuf. 12, 105–132 (2018)CrossRef Mahut, T., Bouchard, C., Omhover, J.F., Favart, C., Esquivel, D.: Interdependency between user experience and interaction: a Kansei design approach. Int. J. Interact. Des. Manuf. 12, 105–132 (2018)CrossRef
5.
Zurück zum Zitat Izquierdo-Reyes, J., Ramirez-Mendoza, R.A., Bustamante-Bello, M.R., Pons-Rovira, L., Gonzalez-Vargas, J.E.: Emotion recognition for semi-autonomous vehicles framework. Int. J. Interact. Des. Manuf. 12, 1447–1454 (2018)CrossRef Izquierdo-Reyes, J., Ramirez-Mendoza, R.A., Bustamante-Bello, M.R., Pons-Rovira, L., Gonzalez-Vargas, J.E.: Emotion recognition for semi-autonomous vehicles framework. Int. J. Interact. Des. Manuf. 12, 1447–1454 (2018)CrossRef
6.
Zurück zum Zitat Mele, M., Campana, G.: Prediction of Kansei engineering features for bottle design by a knowledge based system. Int. J. Interact. Des. Manuf. 12, 1201–1210 (2018)CrossRef Mele, M., Campana, G.: Prediction of Kansei engineering features for bottle design by a knowledge based system. Int. J. Interact. Des. Manuf. 12, 1201–1210 (2018)CrossRef
7.
Zurück zum Zitat Osgood, C.E.: Psycholinguitic relativity and universality. Acta Physiol. (Oxf) 19, 671–678 (1961) Osgood, C.E.: Psycholinguitic relativity and universality. Acta Physiol. (Oxf) 19, 671–678 (1961)
21.
Zurück zum Zitat Chen, M., Xue, C., Wang, H., Chen, Y., Li, J.: Study of the product color’s image based on the event-related potentials. In: 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Presented at the 2014 IEEE International Conference on Systems, Man and Cybernetics—SMC, IEEE, San Diego, CA, USA, pp. 2837–2842 (2014). https://doi.org/10.1109/SMC.2014.6974359 Chen, M., Xue, C., Wang, H., Chen, Y., Li, J.: Study of the product color’s image based on the event-related potentials. In: 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Presented at the 2014 IEEE International Conference on Systems, Man and Cybernetics—SMC, IEEE, San Diego, CA, USA, pp. 2837–2842 (2014). https://​doi.​org/​10.​1109/​SMC.​2014.​6974359
22.
Zurück zum Zitat Luo, Y.L., Luo, Y.J.: Research status of brain mechanism of visual motion perception. Adv. Psychol. Sci. 11, 132–135 (2003) Luo, Y.L., Luo, Y.J.: Research status of brain mechanism of visual motion perception. Adv. Psychol. Sci. 11, 132–135 (2003)
25.
Zurück zum Zitat Guo, F., Cao, Y., Ding, Y., Liu, W., Zhang, X.: A multimodal measurement method of users’ emotional experiences shopping online: users’ emotional experiences shopping online. Hum. Factors Ergon. Manuf. Serv. Ind. 25, 585–598 (2015). https://doi.org/10.1002/hfm.20577 CrossRef Guo, F., Cao, Y., Ding, Y., Liu, W., Zhang, X.: A multimodal measurement method of users’ emotional experiences shopping online: users’ emotional experiences shopping online. Hum. Factors Ergon. Manuf. Serv. Ind. 25, 585–598 (2015). https://​doi.​org/​10.​1002/​hfm.​20577 CrossRef
27.
Zurück zum Zitat López-Gil, J.-M., Virgili-Gomá, J., Gil, R., Guilera, T., Batalla, I., Soler-González, J., García, R.: Method for improving EEG based emotion recognition by combining it with synchronized biometric and eye tracking technologies in a non-invasive and low cost way. Front. Comput. Neurosci. 10, 85 (2016). https://doi.org/10.3389/fncom.2016.00085 CrossRef López-Gil, J.-M., Virgili-Gomá, J., Gil, R., Guilera, T., Batalla, I., Soler-González, J., García, R.: Method for improving EEG based emotion recognition by combining it with synchronized biometric and eye tracking technologies in a non-invasive and low cost way. Front. Comput. Neurosci. 10, 85 (2016). https://​doi.​org/​10.​3389/​fncom.​2016.​00085 CrossRef
31.
Zurück zum Zitat Rojas, J.-C., Contero, M., Camba, J.D., Castellanos, M.C., García-González, E., Gil-Macián, S.: Design perception: combining semantic priming with eye tracking and event-related potential (ERP) techniques to identify salient product visual attributes. In: Volume 11: Systems, Design, and Complexity. Presented at the ASME 2015 International Mechanical Engineering Congress and Exposition, ASME, Houston, Texas, USA, p. V011T14A035 (2015). https://doi.org/10.1115/IMECE2015-50956 Rojas, J.-C., Contero, M., Camba, J.D., Castellanos, M.C., García-González, E., Gil-Macián, S.: Design perception: combining semantic priming with eye tracking and event-related potential (ERP) techniques to identify salient product visual attributes. In: Volume 11: Systems, Design, and Complexity. Presented at the ASME 2015 International Mechanical Engineering Congress and Exposition, ASME, Houston, Texas, USA, p. V011T14A035 (2015). https://​doi.​org/​10.​1115/​IMECE2015-50956
34.
Zurück zum Zitat Steven, J.L.: An Introduction to the Event-Related Potential Technique (Cognitive Neuroscience), 1st edn. MIT Press, Cambridge (2005) Steven, J.L.: An Introduction to the Event-Related Potential Technique (Cognitive Neuroscience), 1st edn. MIT Press, Cambridge (2005)
37.
Zurück zum Zitat George, D., Mallery, P.: IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference. Routledge, London (2016)CrossRef George, D., Mallery, P.: IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference. Routledge, London (2016)CrossRef
Metadaten
Titel
Research on the construction method of kansei image prediction model based on cognition of EEG and ET
verfasst von
Mingqing Yang
Li Lin
Zhiang Chen
Ling Wu
Zhuen Guo
Publikationsdatum
20.01.2020
Verlag
Springer Paris
Erschienen in
International Journal on Interactive Design and Manufacturing (IJIDeM) / Ausgabe 2/2020
Print ISSN: 1955-2513
Elektronische ISSN: 1955-2505
DOI
https://doi.org/10.1007/s12008-020-00651-2

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