Perceived Sensory Characteristics of Wood by Consumers and Trained Evaluators

Morais, Isabela Carvalho de; Pereira, Andréa Franco

doi:10.1111/joss.12181

Cited by 10 publications

(12 citation statements)

References 15 publications

(17 reference statements)

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“…Prior Previous work has shown that consumer panels can provide comparable discrimination ability as trained descriptive panels, given sufficient panel size (Ares, Bruzzone, & Gimenez, 2011). As expected, the naïve panel used here displayed an uncalibrated use of the performance rating scale (Figure 4), with high variability in panelists ratings at each load voltage input level.…”

Section: Discussionsupporting

confidence: 69%

Consumer noticeability of performance differences in battery powered devices

Dempsey

Iveson

2021

Journal of Sensory Studies

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In U.S. households alone, approximately 1.1 billion devices are powered by disposable, primary (single-use) batteries. About one-third of these devices are driven by constant resistance (cR) electronics whereby the performance of these devices is dependent on the load voltage provided by the battery, unlike constant current (cI) and constant power (cP) devices where device performance is regulated electronically to be largely similar throughout the life of the battery and regardless of the load voltage provided by the battery. Performance signals provided by cR devices can include movement (as with motorized toys), vibration (as with toothbrushes and grooming devices), light intensity (as with flashlights), and sound (as with a multitude of devices). In typical cR devices, performance signals will change and decrease as battery load voltage decreases. This exploratory study demonstrated that typical users of cR devices were able to perceive decreasing performance of a variety of cR devices as battery load voltage decreased. Furthermore, data acquired from panelists regarding likelihood of changing batteries due to decreased device performance suggests that consumers were prone to battery changeout at a performance threshold above the electronic/device cutoff in cR devices. Practical applicationsThe results of the present work showed that untrained, naive panelists could determine performance differences in cR devices supplied with varying load voltage and suggests consumers may be willing to sacrifice battery longevity for device performance in devices where the performance varies with the state of battery power supply. These data could provide important guidance to device manufacturers (OEMS; Original Equipment Manufacturers) for design of less variably performing cR devices and to battery manufacturers for design of batteries with higher running voltages.Most importantly, the results of this study suggest that both battery and device manufacturers should focus on balancing between better device performance and longer device-battery service life for cR devices rather than singular focus on device-battery service life. Although placed in the United States, the methodology and results could have implications for both battery and cR device design globally.

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Section: Discussionsupporting

confidence: 69%

Consumer noticeability of performance differences in battery powered devices

Dempsey

Iveson

2021

Journal of Sensory Studies

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“…Un excelente indicador para predecir el consumo de un producto es la preferencia del consumidos; siendo éste un factor clave en los lanzamientos de nuevos productos alimenticios en el mercado (AINIA, 2016). El Mapa de Preferencias (PM) se define como una técnica de investigación de mercado, que utiliza diferentes herramientas estadísticas para ilustrar gráficamente las relaciones entre los gustos del consumidor y los datos sensoriales del panel utilizado, que además permite identificar y cuantificar los atributos sensoriales del producto, influyen en la preferencia de una categoría de estos bienes, así como identificar nuevos nichos de mercado; además que se usan en el desarrollo de productos y marketing sensorial para determinar los impulsores del agrado (Hwang & Hong, 2015;Jervis et al, 2016), calidad y optimización del producto (Delgado y Guinard, 2011;Neely et al, 2010), y la introducción de nuevos productos en un espacio en blanco en un mapa (De Morais & Pereira, 2015). La base de esta técnica es la aplicación de pruebas sensoriales, ya que son herramientas eficientes para evaluar la aceptación comercial del producto y determinar atributos ideales para este (Ares et al, 2013;Berget, 2018).…”

Section: Introductionunclassified

Mapas de Preferencia y Pruebas de Aceptación Sensorial en néctar de durazno

et al. 2021

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El presente trabajo de investigación consistió en hacer un mapeo de preferencias acerca de los néctares de fruta envasados más representativos, de durazno, que existen en nuestro país. Estos fueron Liber, Pulp, Frugos y Watts. Por tal motivo, la idea es analizar a través de la técnica estadística del mapeo, cual es el néctar que puede tener mayor aceptabilidad en el consumidor y que características pueden influir en el mismo; ya que nos permite conocer que propiedades debe tener este producto, si en caso se quiere lanzar uno nuevo al mercado. Así mismo, se encuestó y se le hizo pruebas de análisis sensorial a un cierto grupo de personas (familiares y conocidos de los investigadores, por temas del Covid 19), para determinar y puntuar características básicas a modo de los atributos sensoriales tales como el sabor, olor, claridad, espesor, color, entre otras. Posteriormente, los resultados fueron organizados en un Excel para su posterior uso y/o manejo en el programa RStudio. Donde, se realizó el análisis correspondiente a toda esa data de néctares para poder obtener los diferentes resultados de mapas de preferencia a través de gráficos didácticos y representativos, como elipses de confianza, mapa de individuos, entre otros. Por consiguiente, al final del estudio y el análisis se puede afirmar que uno de los néctares con mayor aceptación y preferencia fue el de la marca Líber según nuestra encuesta de consumo, y con respecto al análisis sensorial el más importante fue el néctar Frugos para los panelistas.

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“…Preference maps have been used extensively for many types of sensory marketing and product development studies for determining drivers of liking (Hwang & Hong, ; Jervis et al, ; Kim & Kim, ; Kim, Lee, Kwak, & Kang, ; Villamor, Daniels, Moore, & Ross, ; Withers et al, ), product quality and optimization (Delgado and Guinard, ; Lawless, Threlfall, Meullenet, & Howard, ; Mahanna & Lee, ; Neely, Lee, & Lee, ), and the introduction of new products into a blank space on a map (de Morais & Pereira ; Donadini & Fumi, ). Delgado and Guinard, , Zhang et al (), Leksrisompong, Lopetcharat, Guthrie, and Drake (), and Paulsen, Næs, Ueland, Rukke, and Hersleth () interpreted a preference map based only on its configuration.…”

Section: Introductionmentioning

confidence: 99%

“…Statistical package cluster (SPC) analysis methods, such as hierarchical clustering methods indicated generally (de Morais & Pereira, ) or specifically, such as Ward's (Childs & Drake, ; Felberg, Deliza, Farah, Calado, & Donangelo, ; Mahanna & Lee, ; Sabbe, Verbeke, Deliza, Matta, & Van Damme, ; Sinesio et al, ; Villamor et al, ) or complete linkage (Liggett, Drake, & Delwiche, ), and more global or partitial clustering such as the k‐means method (Cherdchu & Chambers, ; Jervis et al, ; Resano, Sanjuán, & Albous, ), have been applied to data sets purposely to cluster consumers together who have similar liking patterns. Preference maps are then created, in hopes of identifying the product characteristics that are most liked for each consumer cluster.…”

Section: Introductionmentioning

confidence: 99%

Influence of cluster analysis procedures on variation explained and consumer orientation in internal and external preference maps

Yenket

Chambers

2017

Journal of Sensory Studies

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Common statistical package clustering (SPC) methods may result in consumer segments that still are heterogeneous in product acceptance. Creating new products based on attributes selected from preference maps that use those clusters may result in product failure because the products are developed for consumers with some dissimilar preferences. Methods for clustering that produce more homogeneous clusters of consumers have been reported, that is, SPC with additional “manual” clustering used for gathering consumers with congruent liking of products. In this study, internal and external preference maps were created using two supplemental “manual” clustering approaches and are compared with maps from hierarchical and partitional clustering (i.e., k‐means) results. We observe how clusters with higher homogeneity in product liking patterns change spaces of consumers, descriptors, and product co‐ordinates in internal and external preference maps. Improvement in the preference mapping was exhibited, but the homogenous consumer clusters still miscommunicate some information, as the maps usually do. This was especially true for external preference maps with low percentage variance explained in the descriptors. Thus, it is essential to compare mapping results to the original data and to findings from the original descriptive study to gain the most appropriate information. Practical applications Correctness of sensory information is very important for further analysis. The methods using some additional clustering procedures yield more exactitude in consumer liking patterns than only statistical package clustering. Statistical package clustering with supplementary manual clustering ensures that consumers who share both the most liked product and the least liked products are placed in same in the cluster. However, that does not ensure that the “maps” generated allow for unqualified interpretation. It is essential that preference mapping procedure are joined with common sense reviewing of the original data, key descriptive findings, and key information on most and least liked products within various consumer groups.

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Perceived Sensory Characteristics of Wood by Consumers and Trained Evaluators

Cited by 10 publications

References 15 publications

Consumer noticeability of performance differences in battery powered devices

Consumer noticeability of performance differences in battery powered devices

Mapas de Preferencia y Pruebas de Aceptación Sensorial en néctar de durazno

Influence of cluster analysis procedures on variation explained and consumer orientation in internal and external preference maps

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