Impact of consumer associations, emotions, and appropriateness for use on food acceptability: A CATA and liking evaluation of vegetable and berry beverages

Journal of Sensory Studies

Volumn 33, Issue 4, 2018, Pages

  Waehrens, Sandra S ^a   Grønbeck, Marlene S ^b   Olsen, Karsten ^a   Byrne, Derek V ^b  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b AARHUS UNIVERSITY   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

FRUITS; SENSORY PERCEPTION; VEGETABLES;

CONSUMER RESPONSE; PERCEPTUAL PROPERTIES; SENSORY PROFILES; SENSORY QUALITIES; UNDERLYING FACTORS; VEGETABLE BEVERAGES;

BEVERAGES;

EID: 85050987680     PISSN: 08878250     EISSN: 1745459X     Source Type: Journal    
DOI: 10.1111/joss.12328     Document Type: Article

References (40)

1. Ares, G., & Jaeger, S. R. (2013). Check-all-that-apply questions: Influence of attribute order on sensory product characterization. Food Quality and Preference, 28, 141–153. https://doi.org/10.1016/j.foodqual.2012.08.016
2. Ares, G., Antúnez, L., Bruzzone, F., Vidal, L., Giménez, A., Pineau, B., … Jaeger, S. R. (2015). Comparison of sensory product profiles generated by trained assessors and consumers using CATA questions: Four case studies with complex and/or similar samples. Food Quality and Preference, 45, 75–86. https://doi.org/10.1016/j.foodqual.2015.05.007
3. Ares, G., Dauber, C., Fernández, E., Giménez, A., & Varela, P. (2014). Penalty analysis based on CATA questions to identify drivers of liking and directions for product reformulation. Food Quality and Preference, 32, 65–76. https://doi.org/10.1016/j.foodqual.2013.05.014
4. Bruzzone, F., Vidal, L., Antúnez, L., Giménez, A., Deliza, R., & Ares, G. (2015). Comparison of intensity scales and CATA questions in new product development: Sensory characterisation and directions for product reformulation of milk desserts. Food Quality and Preference, 44, 183–193. https://doi.org/10.1016/j.foodqual.2015.04.017
5. Cardello, A. V., Meiselman, H. L., Schutz, H. G., Craig, C., Given, Z., Lesher, L. L., & Eicher, S. (2012). Measuring emotional responses to foods and food names using questionnaires. Food Quality and Preference, 24, 243–250. https://doi.org/10.1016/j.foodqual.2011.12.002
6. Cruz, A. G., Cadena, R. S., Castro, W. F., Esmerino, E. A., Rodrigues, J. B., Gaze, L., … Bolini, H. M. A. (2013). Consumer perception of probiotic yogurt: Performance of check all that apply (CATA), projective mapping, sorting and intensity scale. Food Research International, 54, 601–610. https://doi.org/10.1016/j.foodres.2013.07.056
7. Dos Santos, B. A., Bastianello Campagnol, P. C., Da Cruz, A. G., Galvão, M. T. E. L., Monteiro, R. A., Wagner, R., & Pollonio, M. A. R. (2015). Check all that apply and free listing to describe the sensory characteristics of low sodium dry fermented sausages: Comparison with trained panel. Food Research International, 76, 725–734. https://doi.org/10.1016/j.foodres.2015.06.035
8. Ferrarini, R., Carbognin, C., Casarotti, E. M., Nicolis, E., Nencini, A., & Meneghini, A. M. (2010). The emotional response to wine consumption. Food Quality and Preference, 21, 720–725. https://doi.org/10.1016/j.foodqual.2010.06.004
9. Fleming, E. E., Ziegler, G. R., & Hayes, J. E. (2015). Check-all-that-apply (CATA), sorting, and polarized sensory positioning (PSP) with astringent stimuli. Food Quality and Preference, 45, 41–49. https://doi.org/10.1016/j.foodqual.2015.05.004
10. Giacalone, D., Frøst, M. B., Bredie, W. L. P., Pineau, B., Hunter, D. C., Paisley, A. G., Beresford, M. K., & Jaeger, S. R. (2015). Situational appropriateness of beer is influenced by product familiarity. Food Quality and Preference, 39, 16–27. https://doi.org/10.1016/j.foodqual.2014.06.012
11. Giacalone, D., & Jaeger, S. R. (2016). Better the devil you know? How product familiarity affects usage versatility of foods and beverages. Journal of Economic Psychology, 55, 120–138. https://doi.org/10.1016/j.joep.2016.02.005
12. Gibson, E. L. (2006). Emotional influences on food choice: Sensory, physiological and psychological pathways. Physiology & Behavior, 89, 53–61. https://doi.org/10.1016/j.physbeh.2006.01.024
13. Hersleth, M., Mevik, B.-H., Næs, T., & Guinard, J.-X. (2003). Effect of contextual factors on liking for wine—Use of robust design methodology. Food Quality and Preference, 14, 615–622. https://doi.org/10.1016/S0950-3293(02)00190-8
14. ISO 3972. (2011). Sensory analysis – Methodology – Method of investigating sensitivity of taste, International Organization for Standardization, Geneva, Switzerland
15. Jaeger, S. R., Beresford, M. K., Paisley, A. G., Antúnez, L., Vidal, L., Cadena, R. S., Giménez, A., & Ares, G. (2015). Check-all-that-apply (CATA) questions for sensory product characterization by consumers: Investigations into the number of terms used in CATA questions. Food Quality and Preference, 42, 154–164. https://doi.org/10.1016/j.foodqual.2015.02.003
16. King, S. C., & Meiselman, H. L. (2010). Development of a method to measure consumer emotions associated with foods. Food Quality and Preference, 21, 168–177. https://doi.org/10.1016/j.foodqual.2009.02.005
17. King, S. C., Meiselman, H. L., & Carr, B. T. (2013). Measuring emotions associated with foods: Important elements of questionnaire and test design. Food Quality and Preference, 28, 8–16. https://doi.org/10.1016/j.foodqual.2012.08.007
18. Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2015). lmerTest: Tests in linear mixed effects models. Retrieved from http://CRAN.R-project.org/package=lmerTest
19. Laaksonen, O. A., Knaapila, A., Niva, T., Deegan, K. C., & Sandell, M. (2016). Sensory properties and consumer characteristics contributing to liking of berries. Food Quality and Preference, 53, 117–126.https://doi.org/10.1016/j.foodqual.2016.06.004
20. Laaksonen, O. A., Mäkilä, L., Sandell, M. A., Salminen, J.-P., Liu, P., Kallio, H. P., & Yang, B. (2014). Chemical-sensory characteristics and consumer responses of blackcurrant juices produced by different industrial processes. Food and Bioprocess Technology, 7, 2877–2888. https://doi.org/10.1007/s11947-014-1316-8
21. Lezaeta, A., Bordeu, E., Næs, T., & Varela, P. (2017). Exploration of consumer perception of Sauvignon Blanc wines with enhanced aroma properties using two different descriptive methods. Food Research International, 99, 186–197. https://doi.org/10.1016/j.foodres.2017.05.003
22. MacFie, H. J. H., & Thomson, D. M. H. (1988). Preference mapping and multidimensional scaling. In J. R. Piggott (Ed.), Sensory analysis of foods (pp. 381–409). New York: Elsevier Applied Science
23. Macht, M., & Dettmer, D. (2006). Everyday mood and emotions after eating a chocolate bar or an apple. Appetite, 46, 332–336. https://doi.org/10.1016/j.appet.2006.01.014
24. Martens, H., & Martens, M. (2000). Modified Jack-knife estimation of parameter uncertainty in bilinear modeling by partial least squares regression (PLSR). Food Quality and Preference, 11, 5–16. https://doi.org/10.1016/S0950-3293(99)00039-7
25. Meyners, M., Castura, J. C., & Carr, B. T. (2013). Existing and new approaches for the analysis of CATA data. Food Quality and Preference, 30, 309–319. https://doi.org/10.1016/j.foodqual.2013.06.010
26. Ng, M., Chaya, C., & Hort, J. (2013a). Beyond liking: Comparing the measurement of emotional response using EsSense Profile and consumer defined check-all-that-apply methodologies. Food Quality and Preference, 28, 193–205. https://doi.org/10.1016/j.foodqual.2012.08.012
27. Ng, M., Chaya, C., & Hort, J. (2013b). The influence of sensory and packaging cues on both liking and emotional, abstract and functional conceptualisations. Food Quality and Preference, 29, 146–156. https://doi.org/10.1016/j.foodqual.2013.03.006
28. Plaehn, D. (2012). CATA penalty/reward. Food Quality and Preference, 24, 141–152. https://doi.org/10.1016/j.foodqual.2011.10.008
29. Pohjanheimo, T., & Sandell, M. (2009). Explaining the liking for drinking yoghurt: The role of sensory quality, food choice motives, health concern and product information. International Dairy Journal, 19, 459–466. https://doi.org/10.1016/j.idairyj.2009.03.004
30. Reinbach, H. C., Giacalone, D., Ribeiro, L. M., Bredie, W. L. P., & Frøst, M. B. (2014). Comparison of three sensory profiling methods based on consumer perception: CATA, CATA with intensity and Napping®. Food Quality and Preference, 32, 160–166. https://doi.org/10.1016/j.foodqual.2013.02.004
31. Rodrigues, H., Cielo, D. P., Goméz-Corona, C., Silveira, A. A. S., Marchesan, T. A., Galmarini, M. V., & Richards, N. S. P. S. (2017). Eating flowers? Exploring attitudes and consumers' representation of edible flowers. Food Research International, 100, 227–234. https://doi.org/10.1016/j.foodres.2017.08.018
32. Schutz, H. G. (1988). Beyond preference: Appropriateness as a measure of contextual acceptance of food. In D. M. H. Thomson (Ed.), Food acceptability (pp. 115–134). London: Elsevier Applied Science
33. Schutz, H. G. (1994). Appropriateness as a measure of the cognitive-contextual aspects of food acceptance. In H. J. H. MacFie & D. H. M. Thomson (Eds.), Measurement of food preferences (1st ed., pp. 25–50). Boca Raton, FL: Chapman and Hall
34. Schutz, H. G., Rucker, M. H., & Russell, G. F. (1975). Food use and food-use classification system. Food Technology, 29, 50–64
35. Seppä, L., Railio, J., Vehkalahti, K., Tahvonen, R., & Tuorila, H. (2013). Hedonic responses and individual definitions of an ideal apple as predictors of choice. Journal of Sensory Studies, 28, 346–357. https://doi.org/10.1111/joss.12059
36. Stolzenbach, S., Bredie, W. L. P., & Byrne, D. V. (2013). Consumer concepts in new product development of local foods: Traditional versus novel honeys. Food Research International, 52, 144–152. https://doi.org/10.1016/j.foodres.2013.02.030
37. Stolzenbach, S., Bredie, W. L. P., Christensen, R. H. B., & Byrne, D. V. (2016). Understanding liking in relation to sensory characteristics, consumer concept associations, arousal potential and ‘appropriateness for use’ using apple juice as an application. Journal of Sensory Studies, 31, 135–142. https://doi.org/10.1111/joss.12200
38. Thomson, D. M. H., Crocker, C., & Marketo, C. G. (2010). Linking sensory characteristics to emotions: An example using dark chocolate. Food Quality and Preference, 21, 1117–1125. https://doi.org/10.1016/j.foodqual.2010.04.011
39. Williams, A., Carr, B. T., & Popper, R. (2011). Exploring analysis options for check-all-that-apply (CATA) questions. In 9th Rose-Marie sensory science symposium, Toronto, ON, Canada
40. Yang, B., & Kortesniemi, M. (2015). Clinical evidence on potential health benefits of berries. Current Opinion in Food Science, 2, 36–42. https://doi.org/10.1016/j.cofs.2015.01.002