A sensory scientific approach to visual pattern recognition of complex biological systems

Martens, Magni; Veflingstad, Siren R.; Plahte, Erik; Bertrand, Dominique; Martens, Harald

doi:10.1016/j.foodqual.2010.04.013

Cited by 5 publications

(11 citation statements)

References 19 publications

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“…Additionally, Martens et al . () found similar results to ours as their attribute mental load was negatively correlated with an average color in the patterns (whiteness) and number of filaments with the same features in both ends (two headedness) but positively correlated with how well the pattern was defined (contrast).…”

Section: Discussionsupporting

confidence: 87%

“…This was also done in the latest of two substudies on image patterns by Martens et al . (). The attributes in the current study were selected to be able to separate the pictures without being product specific.…”

Section: Discussionmentioning

confidence: 97%

“…Sensory descriptive analysis has also been applied to visual stimuli such as image patterns from biological systems (Martens et al . ) and video recordings of clothing (Griffiths and Kulke ). To the author's knowledge, no studies have been published on visually diverse mixes of foods.…”

Section: Discussionmentioning

confidence: 99%

“…Sensory descriptive analysis has been applied across a wide category of products, and methods originally developed for evaluation of foods are increasingly being applied to other product categories (Schifferstein 2010;Gilbert et al 2012;Verriele et al 2012). Sensory descriptive analysis has also been applied to visual stimuli such as image patterns from biological systems (Martens et al 2010) and video recordings of clothing (Griffiths and Kulke 2002). To the author's knowledge, no studies have been published on visually diverse mixes of foods.…”

Section: Discussionmentioning

confidence: 99%

“…The sensory descriptive panel came up with and agreed upon the descriptive terms used (Table 1). This was also done in the latest of two substudies on image patterns by Martens et al (2010). The attributes in the current study were selected to be able to separate the pictures without being product specific.…”

Section: Discussionmentioning

confidence: 99%

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An Approach to Measuring Adolescents' Perception of Complexity for Pictures of Fruit and Vegetable Mixes

Mielby

Jensen

Edelenbos

et al. 2013

Journal of Sensory Studies

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Complexity is an important parameter in the food industry because of its relationship with hedonic appreciation. However, difficulties are encountered when measuring complexity. The hypothesis of this study was that sensory descriptive analysis is an effective tool for deriving terms to measure adolescents' perception of complexity of pictures of fruit and vegetable mixes. A sensory panel evaluated 10 descriptive attributes, including simplicity and complexity, for 24 pictures of fruit and vegetable mixes. The descriptive analysis found strong inverse correlation between complexity and simplicity. An adolescent consumer group (n = 242) and an adult consumer group (n = 86) subsequently rated the pictures on simplicity and attractiveness. Pearson's correlation coefficients revealed strong correlations between the sensory panel and both consumer groups' usage of simplicity. This suggests that simplicity can be used to measure perceived complexity. In relation to attractiveness, different optimal levels of simplicity of pictures of fruit mixes were found for segments of the adolescent consumer group. PRACTICAL APPLICATIONSThese results potentially extend the applications of the sensory descriptive analysis procedure as it was found to be an effective tool to derive a term to measure adolescents' perception of complexity for pictures of food. This method can also be potentially extended to other types of stimuli. This method is thought to be extended to other situations where terms are needed to measure other consumer groups' perception of challenging parameters. For food practitioners, this gives new opportunities to measure important but challenging parameters.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

An Approach to Measuring Adolescents' Perception of Complexity for Pictures of Fruit and Vegetable Mixes

Mielby

Jensen

Edelenbos

et al. 2013

Journal of Sensory Studies

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Analyzing complex mathematical model behavior by partial least squares regression‐based multivariate metamodeling

Tøndel

Martens

2014

WIREs Computational Stats

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The increasing complexity of mathematical models of complex systems like living cells has created a need for methods to reduce computational demand, maintain overview of the capabilities and feasibility of the models, compare alternative models, and obtain more reliable and effective fitting of models to experimental data. Metamodeling-statistical modeling of the behavior of complex mathematical models, also called 'surrogate modeling'-is well established in many scientific disciplines, such as mechanical engineering and process simulation, and has recently also found use in computational biology, as well as other fields of bioscience. Many of these are based on partial least squares regression (PLSR) and various nonlinear and N-way extensions of the PLSR. This is a versatile family of multivariate data modeling methods that combines a simple, flexible model structure (low-rank bilinear subspace regression) and an intuitively attractive optimization criterion (maximized explained input-output covariance) to provide both predictive ability and graphical insight. This review summarizes the background for PLSR-based metamodeling, and the use of PLSR and related methods in the main application areas of metamodeling: reduction of computational demand, sensitivity analysis, model comparison, and parameterization of models in relation to measured data. The methodology is generic, but here illustrated by examples from computational biology. The advantages and limitations of metamodeling for analyzing complex model behavior are discussed.Conflict of interest: The authors have declared no conflicts of interest for this article. main application areas to date. Subsequently, methods for multivariate metamodeling are described, with particular focus on the partial least squares regression (PLSR) version of bilinear regression.Finally, examples of applications of multivariate metamodeling are shown, with special focus on the use of metamodeling in biology and medicine. These are fields where it is increasingly important to enable scientists to handle high-complexity systems with understandable and robust mathematical models. The Methods section gives technical details of the generic methodology, the Applications section provides illustrations of practical use of the metamodeling, while 440 Mathematical model behavior by partial least squares regression-based multivariate metamodeling behavior of model M(.) is observed under all relevant conditions. If model M(.) has K different Volume 6, November/December 2014 Overview and direct parameter estimation State trajectories/ calculated metrics Parameters = I(Metrics) Original model M Metrics = C(Parameters) Overview, sensitivity analysis, and computational speed-up Inputs Prediction Parameters, initial conditions Inverse metamodel, I Classical metamodel, C Prediction Measured metrics Outputs FIGURE 1 | Classical and inverse multivariate metamodeling of a mathematical model M(.). 2 While the classical metamodel C(.) has the same input-output direction as the original model, the inve...

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The modelome of line curvature: Many nonlinear models approximated by a single bi-linear metamodel with verbal profiling

Isaeva

Martens

Sæbø

et al. 2012

Physica D: Nonlinear Phenomena

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A sensory scientific approach to visual pattern recognition of complex biological systems

Cited by 5 publications

References 19 publications

An Approach to Measuring Adolescents' Perception of Complexity for Pictures of Fruit and Vegetable Mixes

An Approach to Measuring Adolescents' Perception of Complexity for Pictures of Fruit and Vegetable Mixes

Analyzing complex mathematical model behavior by partial least squares regression‐based multivariate metamodeling

The modelome of line curvature: Many nonlinear models approximated by a single bi-linear metamodel with verbal profiling

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