Innovative Design of Color Extraction Products from Leftover Flowers Using Virtual Reality with Big Data

Boonchom Sudjit, Kamontus Chawna

Abstract


This Innovative Design of Color Extraction Products from Leftover Flowers Using Virtual Reality with Big Data research aims to study the factors effecting product design innovations in order to (1) extract colors from leftover flowers using real-world simulations with big data, (2) create new technological knowledge in virtual reality, (3) produce alternative commercial prototype products. The data collected using in-depth interviews with five related experts with an online questionnaire for a specific sampling of 320 people. After the study, it was found that 1) the overall average of 4.40 with a standard deviation of 0.72. 2) The most obtained process of color extraction product design from leftover flowers as prototype products, 3) the overall knowledge of virtual reality technology was at average of 4.40 and a standard deviation of 0.78 which made the study an appropriate average of 4.45 and a standard deviation of 0.63 and 4) the design of color extraction products obtained five commercial prototypes.


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