Michel Visalli , Benjamin Mahieu , Caroline Peltier , Sylvie Cordelle , Pascal Schlich
{"title":"消费者使用的 TDS 和 TCATA 的时间精度和分辨率","authors":"Michel Visalli , Benjamin Mahieu , Caroline Peltier , Sylvie Cordelle , Pascal Schlich","doi":"10.1016/j.foodqual.2024.105172","DOIUrl":null,"url":null,"abstract":"<div><p>Temporal Dominance of Sensations (TDS) and Temporal Check-All-That-Apply (TCATA) make it possible to capture temporal changes in the perception of sensory attributes within a product. However, temporal measurements bring new sources of uncontrolled variability that can make them imprecise, particularly with consumer panels. This article aims to demonstrate the importance of considering this imprecision when interpreting temporal data. First, the levels of imprecision due to non-repeatability or disagreement were assessed. The precision of TDS and TCATA was shown to be low, mainly due to disagreement caused by high heterogeneity in total durations of perception. Then, a new framework of analysis has been introduced. It allowed testing of differences in the median times of selection or unselection of attributes. A new representation of TDS and TCATA data has been proposed to visualize and objectify uncertainty in periods of perception. The conclusions obtained with the new framework were compared to those obtained with the usual analyses based on the evolution of citation rates over time. It was shown that the interpretation of TDS/TCATA curves and difference curves can be tricky without guidelines regarding the minimum size of differences that can be considered significant and interpretable. Finally, it was shown that the temporal resolution of the methods was about 10% of the total duration of the perception. These findings question the ability of TDS and TCATA to capture subtle temporal differences. Therefore, recommendations were made for interpreting temporal data in a way that robust conclusions can be drawn.</p></div>","PeriodicalId":322,"journal":{"name":"Food Quality and Preference","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0950329324000740/pdfft?md5=2c29f69854d787e46d4c0fc8e9bfa04f&pid=1-s2.0-S0950329324000740-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Temporal precision and resolution of TDS and TCATA used with consumers\",\"authors\":\"Michel Visalli , Benjamin Mahieu , Caroline Peltier , Sylvie Cordelle , Pascal Schlich\",\"doi\":\"10.1016/j.foodqual.2024.105172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Temporal Dominance of Sensations (TDS) and Temporal Check-All-That-Apply (TCATA) make it possible to capture temporal changes in the perception of sensory attributes within a product. However, temporal measurements bring new sources of uncontrolled variability that can make them imprecise, particularly with consumer panels. This article aims to demonstrate the importance of considering this imprecision when interpreting temporal data. First, the levels of imprecision due to non-repeatability or disagreement were assessed. The precision of TDS and TCATA was shown to be low, mainly due to disagreement caused by high heterogeneity in total durations of perception. Then, a new framework of analysis has been introduced. It allowed testing of differences in the median times of selection or unselection of attributes. A new representation of TDS and TCATA data has been proposed to visualize and objectify uncertainty in periods of perception. The conclusions obtained with the new framework were compared to those obtained with the usual analyses based on the evolution of citation rates over time. It was shown that the interpretation of TDS/TCATA curves and difference curves can be tricky without guidelines regarding the minimum size of differences that can be considered significant and interpretable. Finally, it was shown that the temporal resolution of the methods was about 10% of the total duration of the perception. These findings question the ability of TDS and TCATA to capture subtle temporal differences. Therefore, recommendations were made for interpreting temporal data in a way that robust conclusions can be drawn.</p></div>\",\"PeriodicalId\":322,\"journal\":{\"name\":\"Food Quality and Preference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0950329324000740/pdfft?md5=2c29f69854d787e46d4c0fc8e9bfa04f&pid=1-s2.0-S0950329324000740-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food Quality and Preference\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0950329324000740\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Quality and Preference","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0950329324000740","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Temporal precision and resolution of TDS and TCATA used with consumers
Temporal Dominance of Sensations (TDS) and Temporal Check-All-That-Apply (TCATA) make it possible to capture temporal changes in the perception of sensory attributes within a product. However, temporal measurements bring new sources of uncontrolled variability that can make them imprecise, particularly with consumer panels. This article aims to demonstrate the importance of considering this imprecision when interpreting temporal data. First, the levels of imprecision due to non-repeatability or disagreement were assessed. The precision of TDS and TCATA was shown to be low, mainly due to disagreement caused by high heterogeneity in total durations of perception. Then, a new framework of analysis has been introduced. It allowed testing of differences in the median times of selection or unselection of attributes. A new representation of TDS and TCATA data has been proposed to visualize and objectify uncertainty in periods of perception. The conclusions obtained with the new framework were compared to those obtained with the usual analyses based on the evolution of citation rates over time. It was shown that the interpretation of TDS/TCATA curves and difference curves can be tricky without guidelines regarding the minimum size of differences that can be considered significant and interpretable. Finally, it was shown that the temporal resolution of the methods was about 10% of the total duration of the perception. These findings question the ability of TDS and TCATA to capture subtle temporal differences. Therefore, recommendations were made for interpreting temporal data in a way that robust conclusions can be drawn.
期刊介绍:
Food Quality and Preference is a journal devoted to sensory, consumer and behavioural research in food and non-food products. It publishes original research, critical reviews, and short communications in sensory and consumer science, and sensometrics. In addition, the journal publishes special invited issues on important timely topics and from relevant conferences. These are aimed at bridging the gap between research and application, bringing together authors and readers in consumer and market research, sensory science, sensometrics and sensory evaluation, nutrition and food choice, as well as food research, product development and sensory quality assurance. Submissions to Food Quality and Preference are limited to papers that include some form of human measurement; papers that are limited to physical/chemical measures or the routine application of sensory, consumer or econometric analysis will not be considered unless they specifically make a novel scientific contribution in line with the journal''s coverage as outlined below.