Abstract
Quantifying the human emotional experience for product modeling design has been a research hotspot. Focusing on the personalized design of small assistant robots, the relationship between individual's perceived feature needs and satisfaction is studied. Five experiments were designed, including perceptual image vocabulary selection, image mood board eye movement experiment, satisfaction survey, perceptual imagery feature demand survey, and experiment on scoring the conformity of modeling samples on different perceptual imagery vocabularies. Forty subjects participated in the experiment. The results show that due to the diversity of individual needs and the different degrees of perceived features, the satisfaction with the same product modeling design is different. In addition, based on the Kano model, a quantitative relationship between perceived features and overall satisfaction was found. This study provides new ideas for further research on the needs of different people for external modeling and the quantitative relationship between feature needs and satisfaction.
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This study was supported by the project SYFD160091812 and 61400040103.
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The study was approved by the Logistics Department for Civilian Ethics Committee of China Astronaut Research and Training Center.
All subjects who participated in the experiment were provided with and signed an informed consent form.
All relevant ethical safeguards have been met with regard to subject protection.
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Yang, Y., Wang, B., Jiang, C., Cui, Y., Song, L., Ma, X. (2020). Relationship Between Individual Perceptual Feature Demand and Satisfaction in the Small Assistant Robot Modeling Design. In: Long, S., Dhillon, B.S. (eds) Man-Machine-Environment System Engineering. MMESE 2020. Lecture Notes in Electrical Engineering, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-15-6978-4_50
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DOI: https://doi.org/10.1007/978-981-15-6978-4_50
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