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Quantitative sensory analysis : psychophysics, models and intelligent design /
Sensory evaluation is a scientific discipline used to evoke, measure, analyse and interpret responses to products perceived through the senses of sight, smell, touch, taste and hearing. It is used to reveal insights into the way in which sensory properties drive consumer acceptance and behaviour, an...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, West Sussex, UK :
Wiley Blackwell,
2014.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Quantitative Sensory Analysis: Psychophysics, Models and Intelligent Design; Copyright; Contents; Preface; 1 Psychophysics I: Introduction and Thresholds; 1.1 Introduction and Terminology; 1.2 Absolute Sensitivity; 1.2.1 The Threshold Concept; 1.2.2 Threshold Theories; 1.2.3 Other Types of Thresholds; 1.3 Methods for Measuring Absolute Thresholds; 1.3.1 The Method of Limits; 1.3.2 Forced-Choice Method of Limits; 1.4 Differential Sensitivity; 1.4.1 The Difference Threshold; 1.4.2 Methods for Measuring Difference Thresholds; 1.5 A Look Ahead: Fechner's Contribution.
- Appendix 1.A Relationship of Proportions, Areas Under the Normal Distribution, and Z -ScoresAppendix 1.B Worked Example: Fitting a Logistic Function to Threshold Data; References; 2 Psychophysics II: Scaling and Psychophysical Functions; 2.1 Introduction; 2.2 History: Cramer, Bernoulli, Weber, and Fechner; 2.3 Partition Scales and Categories; 2.4 Magnitude Estimation and the Power Law; 2.4.1 The Method Evolves; 2.4.2 The Power Law and the Method Become Linked; 2.4.3 Ratio Scales for Hedonics?; 2.5 Cross-Modality Matching; Attempts at Validation; 2.5.1 Magnitude Production.
- 2.5.2 Cross-Modality Matching2.5.3 Magnitude Matching; 2.5.4 Trouble and Worry. The Variable Exponent; 2.6 Two-Stage Models and Judgment Processes; 2.6.1 The Personal Exponent; 2.6.2 Anderson's Approach: Functional Measurement; 2.7 Empirical Versus Theory-Based Functions; 2.8 Hybrid Scales and Indirect Scales: A Look Ahead; 2.9 Summary and Conclusions; Appendix 2.A Decibels and Sones; Appendix 2.B Worked Example: Transformations Applied to Non-Modulus Magnitude Estimation Data; References; 3 Basics of Signal Detection Theory; 3.1Introduction; 3.2The Yes/No Experiment.
- 3.2.1 Experimental Design Responses and Payoff Matrices; 3.2.2The Dice Game Metaphor; 3.3Connecting the Design to Theory; 3.3.1 The Model and Measuring Sensory Distance; 3.3.2Changing Criteria; 3.4The ROC Curve; 3.4.1 The ROC Curve: A Plot of Changing Criteria; 3.4.2Unequal Variance of Signal and Noise and Alternative Measures of Discriminability; 3.5 ROC Curves from Rating Scales; the R -Index; 3.5.1 Confidence Ratings; 3.5.2 The R-index; 3.6Conclusions and Implications for Sensory Testing; 3.6.1 Lessons for Sensory Evaluation; 3.6.2Case Study: A Signal Detection Tragedy.
- Appendix 3.A Table of p and ZAppendix 3.B Test for the Significance of Differences Between d' Values; References; 4 Thurstonian Models for Discrimination and Preference; 4.1 The Simple Paired-Choice Model; 4.1.1 Introduction; 4.1.2 The Law of Comparative Judgment; 4.1.3 Simplifying Assumptions; 4.1.4 Case Studies; 4.1.4.1 Case Study 1: Engen's Odor Preference Data; 4.1.4.2 Case Study 2: Synergistic Effects of Monosodium Glutamate and 5' Ribosides; 4.2 Extension into n-AFC: The Byer and Abrams "Paradox"; 4.2.1 The Paradox of the Discriminating Nondiscriminators.