List of Contributors |
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xv | |
Preface |
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xvii | |
Part I Doing Consumer Research |
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1 Contextual Influences on Consumer Responses to Food Products |
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4 | (8) |
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4 | (1) |
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1.2 The History of Studying Context |
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5 | (1) |
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1.3 Food Choice Models That Include Context |
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6 | (3) |
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1.4 Lab-Based Versus Natural Approaches to Context: Advantages and Limitations |
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9 | (3) |
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1.5 Objectives of the Chapter |
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12 | (1) |
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2 Laboratory-Based Research on Context |
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12 | (5) |
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2.1 Methods and Approaches Used in Lab-Based Contextual Research |
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13 | (1) |
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2.2 Situational Appropriateness: An Early Lab-Based Approach to Context |
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13 | (1) |
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2.3 Methodological Advances in Lab-Based Research on Context: Evoked and Virtual Contexts |
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14 | (3) |
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3 Contextual Effects Within The Information Environment |
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17 | (7) |
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3.1 Contextual Effects of Information Influencing Sensory Judgments |
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18 | (2) |
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3.2 Contextual Effects of Information Influencing Affective Judgments |
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20 | (4) |
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4 Contextual Effects Within the Physical Environment |
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24 | (6) |
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24 | (1) |
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4.2 Effects of the Color, Shape, Size, and Appropriateness of the Serving Vessel |
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25 | (4) |
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4.3 Effects of Lighting and Music |
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29 | (1) |
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5 Contextual Effects Within the Meal Environment |
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30 | (2) |
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6 Summary of Lab-Based Research on Context |
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32 | (1) |
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7 Nonlaboratory (Natural) Methods |
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33 | (9) |
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7.1 Contextual Effects Using Attitudinal and Expectations-Based Methods |
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33 | (1) |
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7.2 Contextual Effects Within Meal Components |
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34 | (1) |
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7.3 Contextual Effects in Natural Field Settings |
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34 | (1) |
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7.4 Home Testing Versus Lab and Central Location Testing |
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35 | (3) |
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7.5 Contextual Effects Due to the Social Environment |
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38 | (1) |
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7.6 Contextual Effects Based on Dining Location |
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39 | (2) |
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7.7 Contextual Effects Due to the Physical Environment |
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41 | (1) |
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42 | (1) |
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42 | (13) |
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55 | (6) |
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1.1 Important Considerations When Evoking a Context |
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59 | (2) |
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2 Case Study on Dry-Cured Ham |
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61 | (5) |
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63 | (3) |
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66 | (3) |
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3 Immersive Techniques and Virtual Reality |
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69 | (2) |
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2 Different Immersive Techniques |
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71 | (2) |
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2.1 Re-created Environments With Physical Elements |
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71 | (1) |
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2.2 Projection of Environments on a Screen |
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72 | (1) |
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2.3 Creation of Immersive Virtual Environments |
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72 | (1) |
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3 Introduction of the Olfactive Modality into iVR |
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73 | (5) |
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75 | (1) |
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76 | (2) |
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4 Discussion (Levels of Immersion, Possible Bias, and Validity) |
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78 | (2) |
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80 | (1) |
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80 | (5) |
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4 Evaluation of Meals and Food Pairing |
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85 | (2) |
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86 | (1) |
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1.2 Meals and Food Pairing |
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87 | (1) |
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87 | (6) |
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2.1 Good Practice in Meal Research |
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90 | (3) |
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93 | (5) |
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3.1 Good Practice in Food-Pairing Research |
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96 | (2) |
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4 Case Study: Contrast Effects in Real Meals |
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98 | (5) |
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98 | (1) |
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4.2 Materials and Methods |
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99 | (2) |
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4.3 Results and Discussion |
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101 | (2) |
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103 | (1) |
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103 | (1) |
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103 | (6) |
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5 Situational Factors and the Design of In Situ Evaluations |
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109 | (1) |
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2 Key Points to Design Contextualized Consumer Studies |
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110 | (2) |
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3 Make a Laboratory Be a Real-Life Situation (A Living Lab) |
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112 | (2) |
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4 Make a Real-Life Situation Be a Laboratory |
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114 | (1) |
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115 | (1) |
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116 | (1) |
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116 | (4) |
Part II Health-Related Issues |
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6 Measuring Appetite and Food Intake |
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120 | (13) |
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1.1 Measuring Food Intake: Laboratory Approaches |
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121 | (7) |
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1.2 Measuring Long-Term Food Intake |
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128 | (2) |
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1.3 Which Approach is the Best? |
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130 | (1) |
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1.4 Optimal Design of Studies Exploring Naturalistic Intake |
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131 | (1) |
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1.5 Intake Measures in Summary |
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132 | (1) |
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2 Assessing Subjective Appetite |
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133 | (3) |
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3 Microstructural Approaches to Studying Human Eating Behavior |
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136 | (1) |
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4 The Advantage of Multiple Measures |
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137 | (3) |
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5 Designing Intake Studies: A Case Study |
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140 | (1) |
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141 | (1) |
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141 | (11) |
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7 Measuring Satiation and Satiety |
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152 | (1) |
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2 A Definition of Satiation and Satiety |
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153 | (1) |
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3 Measuring Satiation and Satiety |
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154 | (10) |
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154 | (1) |
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155 | (1) |
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3.3 Measuring the Intensity of Subjective Appetite Feelings |
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156 | (6) |
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3.4 Objective Measurement of Satiation and Satiety |
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162 | (2) |
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4 Considerations for Selecting Test Stimuli and Location |
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164 | (5) |
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4.1 Selecting a Meal Paradigm and Test Meal |
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164 | (1) |
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4.2 Single-Course Meal Paradigm |
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165 | (2) |
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167 | (1) |
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4.4 Measuring Food Intake in a Laboratory |
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168 | (1) |
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4.5 Remote Food Intake Data Collection |
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169 | (1) |
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5 General Guidelines for Setting Up a Satiation or Satiety Test |
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169 | (3) |
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5.1 Selecting the Appropriate Test Participants |
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169 | (1) |
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5.2 Standardizing the Test Instructions to Participants |
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170 | (1) |
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5.3 Test Design and Power Calculation |
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171 | (1) |
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6 Additional Measures From Satiety and Satiation Trials |
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172 | (2) |
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6.1 Eating Microstructure and Food Intake |
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172 | (1) |
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6.2 Measuring Expected Satiety |
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173 | (1) |
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7 Linking Behavioral Measures of Satiety to Physiological Consequences of Food Intake |
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174 | (1) |
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175 | (1) |
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176 | (7) |
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8 Methodological Approaches for Measuring Consumer-Perceived Well-Being in a Food-Related Context |
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183 | (1) |
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184 | (1) |
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3 Conceptualization of Well-Being in a Food-Related Context |
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185 | (2) |
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4 Methodological Approaches to Measuring Well-Being in a Food-Related Context |
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187 | (8) |
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4.1 Subjective Well-Being |
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187 | (2) |
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4.2 Food-Related Well-Being |
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189 | (3) |
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4.3 Well-Being Associated With Specific Products |
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192 | (3) |
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5 Conclusions and Remaining Challenges |
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195 | (3) |
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198 | (5) |
Part III Psychological and Physiological Measurements |
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9 Measuring Implicit Associations in Food-Related Consumer Research |
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203 | (1) |
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204 | (2) |
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206 | (1) |
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4 Implicit Association Test |
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207 | (8) |
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207 | (1) |
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4.2 Methodology and Possible Issues to Consider |
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207 | (6) |
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4.3 Further Developments of the Implicit Association Test |
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213 | (2) |
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5 Applications in the Food Domain |
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215 | (5) |
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5.1 Evaluative Associations Toward Food Categories |
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215 | (3) |
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5.2 Motivational Associations Toward Food Categories and Self/Social Representations |
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218 | (1) |
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5.3 Implicit Associations Between Sensory Modalities |
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219 | (1) |
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6 Case Study on the IAT-RF |
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220 | (3) |
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7 Conclusions and Further Research |
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223 | (2) |
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225 | (6) |
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10 Automatic Facial Expressions Analysis in Consumer Science |
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231 | (4) |
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2 Analyzing Facial Expressions |
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235 | (3) |
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2.1 Anatomically Based Measurement Methods to Analyze Facial Expressions |
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236 | (1) |
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2.2 Judgment Methods to Analyze Facial Expressions |
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237 | (1) |
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2.3 Automatic Facial Expressions Analysis |
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237 | (1) |
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3 Considerations When Using Automatic Facial Expression Analysis |
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238 | (3) |
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3.1 General Consideration When Using Facial Expression Analysis to Measure Emotions in the Field of Consumer Science |
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239 | (1) |
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3.2 Advantages of Automatic Facial Expression Analysis |
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240 | (1) |
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240 | (1) |
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4 Selected Studies Applying Automatic Facial Expression Analysis in the Field of Consumer Research |
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241 | (5) |
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4.1 Emotional Responses Related to Food Consumption |
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242 | (3) |
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4.2 Applications of Automatic Facial Expression Analysis in Advertising Research |
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245 | (1) |
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5 Discussion and Future Directions |
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246 | (1) |
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247 | (7) |
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11 Physiological Measurements: EEG and fMRI |
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254 | (1) |
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2 The Neurobiology of Taste Processing |
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255 | (2) |
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3 Functional Magnetic Resonance Imaging |
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257 | (9) |
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3.1 What Questions Can We Answer Using fMRI? |
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257 | (1) |
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258 | (1) |
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3.3 Spatial and Temporal Resolution of fMRI |
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258 | (1) |
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3.4 How Are fMRI Experiments Set Up? |
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259 | (2) |
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3.5 How Are fMRI Data Analyzed? |
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261 | (5) |
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266 | (7) |
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4.1 What Questions Can We Answer Using EEG? |
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266 | (1) |
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267 | (2) |
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4.3 Spatial and Temporal Resolution of the EEG |
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269 | (1) |
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4.4 How Are EEG Experiments Set Up? |
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270 | (1) |
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4.5 How Are EEG Data Analyzed? |
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271 | (2) |
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273 | (1) |
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274 | (1) |
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275 | (4) |
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12 Eye Tracking in Consumer Research |
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279 | (3) |
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2 Principles and Technical Solutions to Characterizing Gazing Behavior |
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282 | (12) |
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282 | (4) |
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286 | (2) |
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2.3 Factors Influencing Eye Movements |
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288 | (3) |
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2.4 Gaze Behavior, Choice, and Decision-Making |
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291 | (3) |
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294 | (10) |
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3.1 Eye Tracking in Packaging and Label Design |
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294 | (4) |
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3.2 Eye Tracking in Menu Design |
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298 | (1) |
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3.3 Eye Tracking in a Supermarket |
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299 | (2) |
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3.4 Emotions and Eating Disorders |
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301 | (3) |
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4 Case Study: Visual Attention and Choice Behavior in Multialternative Food Choice Situations |
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304 | (3) |
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307 | (1) |
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308 | (2) |
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310 | (12) |
Part IV Designing Studies for Specific Populations |
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13 New Developments in Sensory and Consumer Research With Children |
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322 | (1) |
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2 Consumer Research With Children: Classical Methodological Approaches |
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323 | (2) |
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3 Consumer Research With Children: New Methodological Approaches |
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325 | (18) |
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3.1 Sorting and Projective Mapping Techniques |
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325 | (4) |
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3.2 Sensory Characterization of Food Products With Children |
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329 | (4) |
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3.3 Implicit Paradigms to Assess Incidental Learning and Food Memory |
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333 | (5) |
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3.4 Measurement of Food-Related Emotions |
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338 | (1) |
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3.5 Implicit Emotion and Liking Measurement |
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339 | (4) |
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4 Recommendations and Principles of Good Practice in Sensory Testing With Children |
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343 | (2) |
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4.1 Main Factors Influencing Test Reliability |
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343 | (2) |
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4.2 Choosing the Appropriate Method for Children |
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345 | (1) |
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5 Concluding Remarks and Future Perspectives |
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345 | (2) |
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6 Sources of Further Information and Advice |
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347 | (1) |
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348 | (8) |
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14 Improving Food Sensory Quality With and For Elderly Consumers |
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356 | (1) |
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2 Learn-Qualitative Phase |
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357 | (1) |
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3 Produce-Food Development Phase |
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358 | (1) |
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4 Measure-Quantitative Phase |
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359 | (6) |
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359 | (2) |
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361 | (4) |
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365 | (4) |
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5.1 The Reverse Engineering Methodology, a Promising Strategy for Developing Food Products Targeting the Elderly |
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365 | (1) |
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5.2 The Elderly Population Is Characterized by a Large Interindividual Variability in Food Preferences |
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366 | (1) |
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5.3 Multidimensional Approaches Should Be Favored Rather Than Targeting One Sensory Dimension |
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367 | (1) |
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5.4 Methodological Recommendations |
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368 | (1) |
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369 | (1) |
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7 Sources of Further Information |
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370 | (1) |
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370 | (1) |
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370 | (3) |
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15 Designing Consumer Research Studies for Low-Income Populations |
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Joseph D. Kamdem Mademgne |
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373 | (2) |
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2 Characteristics of Consumers of Low Socioeconomic Status |
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375 | (2) |
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3 Planning, Design, and Execution of Product Tests With Consumers of Low Socioeconomic Status |
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377 | (13) |
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3.1 Step 1: Identify the Question(s) That Needs to Be Answered |
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378 | (1) |
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3.2 Step 2: Decide on the Objective(s) for the Consumer Test |
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379 | (1) |
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3.3 Step 3: Decide on the Test Conditions |
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379 | (9) |
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3.4 Step 4: Run the Test-What to Expect |
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388 | (2) |
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3.5 Step 5: Analyze the Test Results |
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390 | (1) |
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390 | (1) |
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390 | (1) |
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391 | (1) |
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391 | (8) |
Part V Consumer Research With Non-Food Products |
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399 | (1) |
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1.1 Considerations on Skin and Hair |
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399 | (1) |
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400 | (1) |
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400 | (3) |
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2.1 Anonymous Presentation of Products |
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400 | (1) |
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401 | (1) |
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401 | (1) |
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402 | (1) |
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403 | (6) |
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3.1 Application of Products |
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403 | (1) |
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3.2 Evaluation of Products |
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403 | (6) |
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409 | (1) |
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409 | (1) |
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410 | (1) |
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17 Consumer Evaluation of Nonfood Products |
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411 | (5) |
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1.1 Importance of Nonfood Products in the Field of Sensory and Consumer Science |
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411 | (2) |
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1.2 Taking Consumers into Account in Product Design |
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413 | (1) |
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414 | (1) |
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415 | (1) |
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416 | (3) |
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2.1 Sensory Tests, but Not Taste Tests |
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416 | (1) |
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2.2 Not Just Sensory: Functionality Is Often Key |
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416 | (1) |
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2.3 Complexity Is Usually the Rule |
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417 | (1) |
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2.4 Practical Constraints When Running a Test With Nonfood Products |
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418 | (1) |
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419 | (2) |
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3.1 Products That Are Used, Not (Just) Eaten |
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419 | (1) |
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419 | (1) |
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3.3 Interaction With Context |
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420 | (1) |
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421 | (2) |
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4.1 Interindividual Differences and Segmentation |
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421 | (1) |
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4.2 Consumer Response: Beyond Liking |
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422 | (1) |
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423 | (1) |
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424 | (3) |
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18 Consumer-Driven Product Design |
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1 What Is Product Design? |
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427 | (2) |
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2 Consumer Involvement in the Design Process |
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429 | (2) |
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3 Consumer Responses to Product Design |
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431 | (20) |
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3.1 Designer Perspective: Product Esthetics |
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433 | (3) |
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3.2 Consumer Perspective: Product Experience |
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436 | (8) |
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3.3 Semiotic Perspective: Symbolic Product Meaning |
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444 | (5) |
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3.4 Managers' Perspective: Consumer Satisfaction |
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449 | (2) |
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4 Conclusions and Implications |
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451 | (2) |
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453 | (8) |
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461 | (2) |
Index |
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