How to measure consumer's inconsistency in sensory testing?
Consumer sensory testing is the basis for determining directions of product development in the food industry. However, while compliance assessment by trained and expert assessors is well developed, few information is available on testing consumer consistency. Therefore, we provide a statistical fram...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Current Research in Food Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665927125000139 |
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| author | László Sipos Kolos Csaba Ágoston Péter Biró Sándor Bozóki László Csató |
| author_facet | László Sipos Kolos Csaba Ágoston Péter Biró Sándor Bozóki László Csató |
| author_sort | László Sipos |
| collection | DOAJ |
| description | Consumer sensory testing is the basis for determining directions of product development in the food industry. However, while compliance assessment by trained and expert assessors is well developed, few information is available on testing consumer consistency. Therefore, we provide a statistical framework to rank assessors and attributes according to the level of inconsistency, as well as to identify inconsistent assessors, based on Kendall rank correlation coefficients. The detection of (in)consistency requires evaluations on two connected scales. The suggested approach is illustrated by data from sensory tests of biscuits enriched with three pollens at different levels. 100 consumers evaluated the samples on two different scales (nine category monotonic ascending hedonic response scale, five-category just about right (JAR) intensity scale). The 88 consistent assessors are found using a wider range of both the liking scale and JAR scale than the 12 inconsistent assessors whose evaluations do not have a significantly negative rank correlation. Future consumer tests are recommended to include multiple scales. The proposed framework aims to identify and even filter out the potentially biasing inconsistent evaluations. Questions on attributes leading to highly inconsistent responses should be reconsidered in future sensory tests on the same food product. |
| format | Article |
| id | doaj-art-02a9692014b343469d6e6032a81f9da5 |
| institution | Kabale University |
| issn | 2665-9271 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Current Research in Food Science |
| spelling | doaj-art-02a9692014b343469d6e6032a81f9da52025-02-02T05:29:18ZengElsevierCurrent Research in Food Science2665-92712025-01-0110100982How to measure consumer's inconsistency in sensory testing?László Sipos0Kolos Csaba Ágoston1Péter Biró2Sándor Bozóki3László Csató4Department of Postharvest, Commercial and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Budapest, Hungary; HUN-REN Institute of Economics, Centre for Economic and Regional Studies (HUN-REN KRTK), Budapest, Hungary; Corresponding author. Department of Postharvest, Commercial and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Budapest, Hungary.Department of Operations Research and Actuarial Sciences, Institute of Operations and Decision Sciences, Corvinus University of Budapest, HungaryHUN-REN Institute of Economics, Centre for Economic and Regional Studies (HUN-REN KRTK), Budapest, Hungary; Department of Operations Research and Actuarial Sciences, Institute of Operations and Decision Sciences, Corvinus University of Budapest, HungaryDepartment of Operations Research and Actuarial Sciences, Institute of Operations and Decision Sciences, Corvinus University of Budapest, Hungary; HUN-REN Institute for Computer Science and Control (HUN-REN SZTAKI), Laboratory on Engineering and Management Intelligence, Research Group of Operations Research and Decision Systems, Budapest, HungaryDepartment of Operations Research and Actuarial Sciences, Institute of Operations and Decision Sciences, Corvinus University of Budapest, Hungary; HUN-REN Institute for Computer Science and Control (HUN-REN SZTAKI), Laboratory on Engineering and Management Intelligence, Research Group of Operations Research and Decision Systems, Budapest, HungaryConsumer sensory testing is the basis for determining directions of product development in the food industry. However, while compliance assessment by trained and expert assessors is well developed, few information is available on testing consumer consistency. Therefore, we provide a statistical framework to rank assessors and attributes according to the level of inconsistency, as well as to identify inconsistent assessors, based on Kendall rank correlation coefficients. The detection of (in)consistency requires evaluations on two connected scales. The suggested approach is illustrated by data from sensory tests of biscuits enriched with three pollens at different levels. 100 consumers evaluated the samples on two different scales (nine category monotonic ascending hedonic response scale, five-category just about right (JAR) intensity scale). The 88 consistent assessors are found using a wider range of both the liking scale and JAR scale than the 12 inconsistent assessors whose evaluations do not have a significantly negative rank correlation. Future consumer tests are recommended to include multiple scales. The proposed framework aims to identify and even filter out the potentially biasing inconsistent evaluations. Questions on attributes leading to highly inconsistent responses should be reconsidered in future sensory tests on the same food product.http://www.sciencedirect.com/science/article/pii/S2665927125000139ConsistencyConsumer sensory testingJAR scaleLiking scoreProduct development |
| spellingShingle | László Sipos Kolos Csaba Ágoston Péter Biró Sándor Bozóki László Csató How to measure consumer's inconsistency in sensory testing? Current Research in Food Science Consistency Consumer sensory testing JAR scale Liking score Product development |
| title | How to measure consumer's inconsistency in sensory testing? |
| title_full | How to measure consumer's inconsistency in sensory testing? |
| title_fullStr | How to measure consumer's inconsistency in sensory testing? |
| title_full_unstemmed | How to measure consumer's inconsistency in sensory testing? |
| title_short | How to measure consumer's inconsistency in sensory testing? |
| title_sort | how to measure consumer s inconsistency in sensory testing |
| topic | Consistency Consumer sensory testing JAR scale Liking score Product development |
| url | http://www.sciencedirect.com/science/article/pii/S2665927125000139 |
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