Methods for Evaluating Emotions Evoked by Food Experiences: A Literature Review

被引:90
作者
Kaneko, Daisuke [1 ,2 ]
Toet, Alexander [3 ]
Brouwer, Anne-Marie [3 ]
Kellen, Victor [2 ]
van Erp, Jan B. F. [3 ,4 ]
机构
[1] Kikkoman Europe R&D Lab BV, Wageningen, Netherlands
[2] TNO, Microbiol & Syst Biol, Zeist, Netherlands
[3] TNO, Perceptual & Cognit Syst, Soesterberg, Netherlands
[4] Univ Twente, Human Media Interact, Enschede, Netherlands
来源
FRONTIERS IN PSYCHOLOGY | 2018年 / 9卷
关键词
food-evoked emotion; physiological; behavioral; cognitive; toolbox; emotional processing level; OLDER NORMOSMIC ADULTS; INDIVIDUAL-DIFFERENCES; FACIAL EXPRESSIONS; NEGATIVE AFFECT; CONSUMER PREFERENCES; POSITIVE AFFECT; YOUNGER ADULTS; TIME-COURSE; RESPONSES; LIKING;
D O I
10.3389/fpsyg.2018.00911
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Besides sensory characteristics of food, food-evoked emotion is a crucial factor in predicting consumer's food preference and therefore in developing new products. Many measures have been developed to assess food-evoked emotions. The aim of this literature review is (i) to give an exhaustive overview of measures used in current research and (ii) to categorize these methods along measurement level (physiological, behavioral, and cognitive) and emotional processing level (unconscious sensory, perceptual/early cognitive, and conscious/decision making) level. This 3 x 3 categorization may help researchers to compile a set of complementary measures ('toolbox") for their studies. We included 101 peer-reviewed articles that evaluate consumer's emotions and were published between 1997 and 2016, providing us with 59 different measures. More than 60% of these measures are based on self-reported, subjective ratings and questionnaires (cognitive measurement level) and assess the conscious/decision-making level of emotional processing. This multitude of measures and their overrepresentation in a single category hinders the comparison of results across studies and building a complete multi-faceted picture of food-evoked emotions. We recommend (1) to use widely applied, validated measures only, (2) to refrain from using (highly correlated) measures from the same category but use measures from different categories instead, preferably covering all three emotional processing levels, and (3) to acquire and share simultaneously collected physiological, behavioral, and cognitive datasets to improve the predictive power of food choice and other models.
引用
收藏
页数:20
相关论文
共 193 条
  • [31] Measuring emotional responses to foods and food names using questionnaires
    Cardello, Armand V.
    Meiselman, Herbert L.
    Schutz, Howard G.
    Craig, Caelli
    Given, Zachary
    Lesher, Larry L.
    Eicher, Steven
    [J]. FOOD QUALITY AND PREFERENCE, 2012, 24 (02) : 243 - 250
  • [32] Developing a reduced consumer-led lexicon to measure emotional response to beer
    Chaya, Carolina
    Eaton, Curtis
    Hewson, Louise
    Fernandez Vazquez, Rocio
    Fernandez-Ruiz, Virginia
    Smart, Katherine A.
    Hort, Joanne
    [J]. FOOD QUALITY AND PREFERENCE, 2015, 45 : 100 - 112
  • [33] How do 3-dimensional images promote products on the Internet?
    Choi, Yung Kyun
    Taylor, Charles R.
    [J]. JOURNAL OF BUSINESS RESEARCH, 2014, 67 (10) : 2164 - 2170
  • [34] Mapping the Semantic Space for the Subjective Experience of Emotional Responses to Odors
    Chrea, Christelle
    Grandjean, Didier
    Delplanque, Sylvain
    Cayeux, Isabelle
    Le Calve, Benedicte
    Aymard, Laurence
    Velazco, Maria Ines
    Sander, David
    Scherer, Klaus R.
    [J]. CHEMICAL SENSES, 2009, 34 (01) : 49 - 62
  • [35] Autonomic specificity of discrete emotion and dimensions of affective space: a multivariate approach
    Christie, IC
    Friedman, BH
    [J]. INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2004, 51 (02) : 143 - 153
  • [36] Comparing the liking for Korean style salad dressings and beverages between US and Korean consumers: Effects of sensory and non-sensory factors
    Chung, Lana
    Chung, Seo-Jin
    Kim, Jin-Young
    Kim, Kwang-Ok
    O'Mahony, Michael
    Vickers, Zata
    Cha, Sung-Mi
    Ishii, Rie
    Baures, Katie
    Kim, Haeng-Ran
    [J]. FOOD QUALITY AND PREFERENCE, 2012, 26 (01) : 105 - 118
  • [37] Comparison of methods used to study consumer emotions associated with fragrance
    Churchill, Anne
    Behan, John
    [J]. FOOD QUALITY AND PREFERENCE, 2010, 21 (08) : 1108 - 1113
  • [38] Taste and flavour: their importance in food choice and acceptance
    Clark, JE
    [J]. PROCEEDINGS OF THE NUTRITION SOCIETY, 1998, 57 (04) : 639 - 643
  • [39] Development of a novel sensory method: Image Measurement of Emotion and Texture (IMET)
    Collinsworth, L. A.
    Lammert, A. M.
    Martinez, K. P.
    Leidheiser, M.
    Garza, J.
    Keener, M.
    Ashman, H.
    [J]. FOOD QUALITY AND PREFERENCE, 2014, 38 : 115 - 125
  • [40] Designing for human-food interaction: An introduction to the special issue on 'food and interaction design'
    Comber, Rob
    Choi, Jaz Hee-Jeong
    Hoonhout, Jettie
    O'Hara, Kenton
    [J]. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2014, 72 (02) : 181 - 184