LEADER 04655nam 2200601 a 450 001 9910825384103321 005 20240314013819.0 010 $a1-118-68479-6 010 $a1-118-68481-8 010 $a1-118-68480-X 035 $a(CKB)2550000001102598 035 $a(EBL)1315487 035 $a(OCoLC)853364614 035 $a(OCoLC)857080180 035 $a(MiAaPQ)EBC1315487 035 $a(DLC) 2013017915 035 $a(Au-PeEL)EBL1315487 035 $a(CaPaEBR)ebr10734615 035 $a(CaONFJC)MIL505081 035 $a(EXLCZ)992550000001102598 100 $a20130802d2013 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aQuantitative sensory analysis $epsychophysics, models and intelligent design /$fHarry T. Lawless 205 $a1st ed. 210 $aChichester, England $cWiley-Blackwell$dc2013 215 $a1 online resource (418 p.) 300 $aDescription based upon print version of record. 311 $a0-470-67346-X 311 $a1-299-73830-3 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aQuantitative 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 327 $aAppendix 1.A Relationship of Proportions, Areas Under the Normal Distribution, and Z -Scores Appendix 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 327 $a2.5.2 Cross-Modality Matching 2.5.3 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; 3.1 Introduction; 3.2 The Yes/No Experiment 327 $a3.2.1 Experimental Design Responses and Payoff Matrices; 3.2.2 The Dice Game Metaphor; 3.3 Connecting the Design to Theory; 3.3.1 The Model and Measuring Sensory Distance; 3.3.2 Changing Criteria; 3.4 The ROC Curve; 3.4.1 The ROC Curve: A Plot of Changing Criteria; 3.4.2 Unequal 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; 3.6 Conclusions and Implications for Sensory Testing; 3.6.1 Lessons for Sensory Evaluation; 3.6.2 Case Study: A Signal Detection Tragedy 327 $a4.2.2 Extension to Other Discrimination Tests 330 $aSensory 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, and to design products that best deliver what the consumer wants. It is also used at a more fundamental level to provide a wider understanding of the mechanisms involved in sensory perception and consumer behaviour. Quantitative Sensory Analysis is an in-depth and unique treatment of the 606 $aFood$xSensory evaluation 606 $aChemistry, Analytic$xQuantitative 615 0$aFood$xSensory evaluation. 615 0$aChemistry, Analytic$xQuantitative. 676 $a664/.07 700 $aLawless$b Harry T$078394 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910825384103321 996 $aQuantitative sensory analysis$91495671 997 $aUNINA