分类
任务(项目管理)
分类
计算机科学
判别式
人工智能
统计
数学
情报检索
工程类
程序设计语言
系统工程
作者
Céline Marque,Caroline Motta,Thibaud J. C. Richard
摘要
Abstract A free sorting task was applied to sort chocolate proteins bars by trained and untrained panelists. Trained and untrained panelists sorted the nine chocolate proteins bars samples into groups. They were then asked to describe in their own words after the sorting was done. Multidimensional Scaling and Correspondence Analysis were performed on these data. Results showed that trained and untrained panels sorted the chocolate proteins bars in a similar way (RV coefficient value). The results also show that the trained panel was significantly more objective than the untrained panel. However, comparable terms were used similarly by both panels and statistical results indicated that untrained and trained panels could be used for free sorting tasks as both panels were able to perform the test being discriminative. Practical Applications The free sorting task method was used for the first time to differentiate a complex food product with trained and untrained panelists. This task associated with word association was a success and enable the use of this sensory method to potentially understand a strategic local market with consumer feedback.
科研通智能强力驱动
Strongly Powered by AbleSci AI