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Natsume H, Okamoto S, Nagano H. TDS Similarity: Outlier Analysis Using a Similarity Index to Compare Time-Series Responses of Temporal Dominance of Sensations Tasks. Foods 2023; 12:foods12102025. [PMID: 37238843 DOI: 10.3390/foods12102025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 04/22/2023] [Accepted: 05/12/2023] [Indexed: 05/28/2023] Open
Abstract
Temporal dominance of sensations (TDS) methods are used to record temporally developing sensations while eating food samples. Results of TDS tasks are typically discussed using averages across multiple trials and panels, and few methods have been developed to analyze differences between individual trials. We defined a similarity index between two time-series responses of TDS tasks. This index adopts a dynamic level to determine the importance of the timing of attribute selection. With a small dynamic level, the index focuses on the duration for attributes to be selected rather than on the timing of the attribute selection. With a large dynamic level, the index focuses on the temporal similarity between two TDS tasks. We performed an outlier analysis based on the developed similarity index using the results of TDS tasks performed in an earlier study. Certain samples were categorized as outliers irrespective of the dynamic level, whereas the categorization of a few samples depended on the level. The similarity index developed in this study achieved individual analyses of TDS tasks, including outlier detection, and adds new analysis techniques to TDS methods.
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Affiliation(s)
- Hiroharu Natsume
- Department of Computer Science, Tokyo Metropolitan University, Hino 191-0065, Japan
| | - Shogo Okamoto
- Department of Computer Science, Tokyo Metropolitan University, Hino 191-0065, Japan
| | - Hikaru Nagano
- Department of Mechanical Engineering, Kobe University, Kobe 657-8501, Japan
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2
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The who, what, where, when, why and how of measuring emotional response to food. A systematic review. Food Qual Prefer 2022. [DOI: 10.1016/j.foodqual.2022.104607] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Marques C, Correia E, Dinis LT, Vilela A. An Overview of Sensory Characterization Techniques: From Classical Descriptive Analysis to the Emergence of Novel Profiling Methods. Foods 2022; 11:foods11030255. [PMID: 35159407 PMCID: PMC8834440 DOI: 10.3390/foods11030255] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/05/2022] [Accepted: 01/12/2022] [Indexed: 12/12/2022] Open
Abstract
Sensory science provides objective information about the consumer understanding of a product, the acceptance or rejection of stimuli, and the description of the emotions evoked. It is possible to answer how consumers perceive a product through discriminative and descriptive techniques. However, perception can change over time, and these fluctuations can be measured with time-intensity methods. Instrumental sensory devices and immersive techniques are gaining headway as sensory profiling techniques. The authors of this paper critically review sensory techniques from classical descriptive analysis to the emergence of novel profiling methods. Though research has been done in the creation of new sensory methods and comparison of those methods, little attention has been given to the timeline approach and its advantages and challenges. This study aimed to gather, explain, simplify, and discuss the evolution of sensory techniques.
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Affiliation(s)
- Catarina Marques
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro, Apartado 1013, 5001-801 Vila Real, Portugal; (C.M.); (L.-T.D.)
| | - Elisete Correia
- Center for Computational and Stochastic Mathematics (CEMAT), Department of Mathematics, University of Trás-os-Montes and Alto Douro, Apartado 1013, 5001-801 Vila Real, Portugal;
| | - Lia-Tânia Dinis
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro, Apartado 1013, 5001-801 Vila Real, Portugal; (C.M.); (L.-T.D.)
| | - Alice Vilela
- Chemistry Research Centre (CQ-VR), Department of Biology and Environment, School of Life Science and Environment, University of Trás-os-Montes e Alto Douro, Apartado 1013, 5001-801 Vila Real, Portugal
- Correspondence:
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Okamoto S. Bootstrap Resampling of Temporal Dominance of Sensations Curves to Compute Uncertainties. Foods 2021; 10:2472. [PMID: 34681521 PMCID: PMC8535495 DOI: 10.3390/foods10102472] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 10/03/2021] [Accepted: 10/07/2021] [Indexed: 11/23/2022] Open
Abstract
In the last decade, temporal dominance of sensations (TDS) methods have proven to be potent approaches in the field of food sciences. Accordingly, thus far, methods for analyzing TDS curves, which are the major outputs of TDS methods, have been developed. This study proposes a method of bootstrap resampling for TDS tasks. The proposed method enables the production of random TDS curves to estimate the uncertainties, that is, the 95% confidence interval and standard error of the curves. Based on Monte Carlo simulation studies, the estimated uncertainties are considered valid and match those estimated by approximated normal distributions with the number of independent TDS tasks or samples being 50-100 or greater. The proposed resampling method enables researchers to apply statistical analyses and machine-learning approaches that require a large sample size of TDS curves.
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Affiliation(s)
- Shogo Okamoto
- Department of Computer Sciences, Tokyo Metropolitan Universities, Hino, Tokyo 191-0065, Japan
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Mota-Gutierrez J, Cocolin L. Current trends and applications of plant origin lactobacilli in the promotion of sustainable food systems. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2021.05.030] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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6
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Visalli M, Mahieu B, Thomas A, Schlich P. Concurrent vs. retrospective temporal data collection: Attack-evolution-finish as a simplification of Temporal Dominance of Sensations? Food Qual Prefer 2020. [DOI: 10.1016/j.foodqual.2020.103956] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Godoy RCB, Chambers E, Yang G. Development of a preliminary sensory lexicon for mate tea. J SENS STUD 2020. [DOI: 10.1111/joss.12570] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
| | - Edgar Chambers
- Center for Sensory Analysis and Consumer BehaviorKansas State University Manhattan Kansas
| | - Gongshun Yang
- Center for Sensory Analysis and Consumer BehaviorKansas State University Manhattan Kansas
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Pinto VRA, Teixeira CG, Lima TS, De Almeida Prata ERB, Vidigal MCTR, Martins E, Perrone ÍT, Carvalho AFD. Health beliefs towards kefir correlate with emotion and attitude: A study using an emoji scale in Brazil. Food Res Int 2019; 129:108833. [PMID: 32036918 DOI: 10.1016/j.foodres.2019.108833] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 11/07/2019] [Accepted: 11/15/2019] [Indexed: 01/07/2023]
Abstract
Emojis can be used to explore food-evoked emotions in order to provide information that can support the product development and marketing decisions. This study aimed to evaluate consumers' acceptance, purchase intent and emotional responses to milk beverages, with and without kefir added, before and after these consumers were informed about the products' composition (0%, 15%, 30% and 50% m/v) and health claims toward kefir (blind and informed tests, respectively). Emotional responses were assessed by emoji use within a RATA questionnaire in order quantify the perceived significance of the emojis chosen. In the informed test, the consumers' perception of the sensory attributes of the milk beverages, such as their perception of an acid taste in added kefir beverages was shown to have changed. Overall, participants attributed significantly higher acceptance and purchase intent scores to added kefir beverages after they had been informed on its health benefits. In addition, expressions of positive emotion increased when participants were exposed to stimuli related to health benefits of kefir (15%, 30% and 50% m/v), while negative expressions of emotion decreased. The provided information of kefir modified valence and arousal in subjects, and it can be said that to 30% of kefir can be added to yogurt without compromising its sensory acceptability. Thus, health benefits alone cannot improve product acceptance, since participants found a 50% addition of kefir to be unpleasant when tasted during a blind test. Mixed beverages may present a probiotic beverage alternative for consumers who dislike kefir milk, but want to include it in their diets. The implications of liking and purchase intent and how they are linked to emotions are discussed in this paper as well.
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Affiliation(s)
- Vinícius Rodrigues Arruda Pinto
- Departamento de Tecnologia de Alimentos (DTA), Universidade Federal de Viçosa (UFV), Campus Universitário, s/n, CEP 36570-900 Viçosa, MG, Brazil
| | - Camila Gonçalves Teixeira
- Departamento de Tecnologia de Alimentos (DTA), Universidade Federal de Viçosa (UFV), Campus Universitário, s/n, CEP 36570-900 Viçosa, MG, Brazil
| | - Tatiana Santos Lima
- Departamento de Tecnologia de Alimentos (DTA), Universidade Federal de Viçosa (UFV), Campus Universitário, s/n, CEP 36570-900 Viçosa, MG, Brazil
| | | | | | - Evandro Martins
- Departamento de Tecnologia de Alimentos (DTA), Universidade Federal de Viçosa (UFV), Campus Universitário, s/n, CEP 36570-900 Viçosa, MG, Brazil
| | - Ítalo Tuler Perrone
- Departamento de Ciências Farmacêuticas, Universidade Federal de Juiz de Fora (UFJF), Rua José Lourenço Kelmer, São Pedro, CEP 36036-330 Juiz de Fora, MG, Brazil
| | - Antônio Fernandes de Carvalho
- Departamento de Tecnologia de Alimentos (DTA), Universidade Federal de Viçosa (UFV), Campus Universitário, s/n, CEP 36570-900 Viçosa, MG, Brazil.
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Mahieu B, Visalli M, Schlich P, Thomas A. Eating chocolate, smelling perfume or watching video advertisement: Does it make any difference on emotional states measured at home using facial expressions? Food Qual Prefer 2019. [DOI: 10.1016/j.foodqual.2019.05.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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