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NTIS 바로가기식품과학과 산업 = Food science and industry, v.52 no.1, 2019년, pp.40 - 51
김인아 (이화여자대학교 식품공학과) , 이영승 (단국대학교 식품영양학과)
For better understanding the relationship between consumers' perception and sensory characteristics of products, diverse types of rapid sensory profiling technique have been suggested as alternatives to conventional descriptive analysis. Among these, check-all-that-apply (CATA) method has gained pop...
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핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
카타 평가법의 이점은 무엇인가? | 카타 평가법은 평가 진행 과정이 간편하고, 소비자가 이해하기 쉬우며, 평가 제품들에 대한 소비자들의 직관적인 반응을 쉽고 빠르게 얻을 수 있다는 이점이 있다. 소비자들은 설문지 상에 제시된 용어 중 해당 제품을 묘사하기에 적합하다고 생각하는 용어를 모두 선택하는 방식으로 응답하며, 이를 통해 제품의 감각 특성에 대한 정보를 쉽고 빠르게 도출해낼 수 있다. | |
라타 평가법이란 무엇인가? | 카타 평가법의 확장된 버전으로 페널티 분석 기반의 ideal 카타 평가법은 소비자의 직접적인 감각 또는 인지를 바탕으로 제품의 기호도 영향 인자를 규명할 수 있기 때문에 소비자 기호도 맞춤형 제품을 개발할 때 유용하게 활용될 수 있다. 또한, 라타 평가법은 카타 평가법의 제품 차이식별력 향상을 위해 개발된 평가법으로 기존 카타 평가법에 강도 척도를 병행한 형태로 사용된다. 현재 라타 평가법의 데이터 분석에 대한 지속적인 연구가 진행되고 있으며 연속형 데이터로 간주하여 모수적 검정에 의한 분석이 가능하다. | |
묘사 분석의 한계점은 무엇인가? | 묘사 분석(descriptive analysis)은 신뢰성과 정확성이 높은 결과를 도출해낼 수 있어 다양한 식품군을 대상으로 오랜 기간 활용되어 온 대표적인 감각 평가 방법이다. 그러나 훈련된 검사원을 대상으로 평가를 진행하기 때문에 비용과 시간 측면에서 비효율적이라는 한계점이 존재한다. 또한 식품을 실제로 섭취하는 대상은 훈련되지 않은 소비자들이므로 이들을 대상으로 하는 감각 평가 방법의 필요성도 점차 높아지는 추세이다. |
Adams J, Williams A, Lancaster B, Foley M. Advantages and uses of check-all-that-apply response compared to traditional scaling of attributes for salty snacks. In: 7th Pangborn Sensory Science Symposium. August 12-16, Hyatt Regency, Minneapolis, USA, Elsevier, Amsterdam, Netherlands (2007)
Albert A, Varela P, Salvador A, Hough G, Fiszman S. Overcoming the issues in the sensory description of hot served food with a complex texture Application of $QDA^{(R)}$ , flash profiling and projective mapping using panels with different degrees of training. Food Qual. Prefer. 22: 463-473 (2011)
Ares G, Antunez L, Bruzzone F, Vidal L, Gimenez A, Pineau B, Beresford MK, Jin D, Paisley AG, Chheang SL, Roigard C, Jaeger SR. Comparison of sensory product profiles generated by trained assessors and consumers using CATA questions: Four case studies with complex and/or similar samples. Food Qual. Prefer. 45: 75-86 (2015)
Ares G, Barreiro C, Deliza R, Gimrnez A, Gambaro A. Application of a check-all-that-apply question to the development of chocolate milk desserts. J. Sens. Stud. 25: 67-86 (2010)
Ares G, Bruzzone F, Vidal L, Cadena RS, Gimenez A, Pineau B, Hunter DC, Paisley AG, Jaeger S. Evaluation of a rating-based variant of check-all-that-apply questions: Rate-all-that-apply (RATA). Food Qual. Prefer. 36: 87-95 (2014a)
Ares G, Dauber C, Fernandez E, Gimenez A, Varela P. Penalty analysis based on CATA questions to identify drivers of liking and directions for product reformulation. Food Qual. Prefer. 32: 65-76 (2014b)
Ares G, Jaeger SR. Check-all-that-apply (CATA) questions with consumers in practice experimental considerations and impact on outcome. pp. 227-245. In: Rapid sensory profiling techniques and related methods. Delarue J, Lawlor JB, Rogeaux M (ed). Woodhead Publishing (2015)
Ares G, Jaeger SR. A comparison of five methodological variants of emoji questionnaires for measuring product elicited emotional associations: An application with seafood among Chinese consumers. Food Res. Int. 99(Pt 1): 216-228 (2017)
Ares G, Picallo A, Coste B, Antunez L, Vidal L, Gimenez A, Jaeger S. A comparison of RATA questions with descriptive analysis: Insights from three studies with complex/similar products. J. of Sens. Stud. 33: e12458 (2018)
Ares G, Varela P, Rado G, Gimenez A. Identifying ideal products using three different consumer profiling methodologies Comparison with external preference mapping. Food Qual. Prefer. 22: 581-591 (2011)
Bruzzone F, Ares G, Gimenez A. Consumers' texture perception of milk desserts II - Comparison with trained assessors' data. J. Texture Stud. 43: 214-226 (2012)
Castura JC. Do panellists donkey vote in sensory choose-all-that-apply questions? In: 8th Pangborn Sensory Science Symposium. July 26-30, Stazione Leopolda, Florence, Italy, Amsterdam, Netherlands (2009)
Choi Y, Lee J. The effect of extrinsic cues on consumer perception: A study using milk tea products. Food Qual. Prefer. 71: 343-353 (2019)
Dairou V, Sieffermann, JM. A comparison of 14 jams characterized by conventional profile and a quick original method, flash profile. J. Food Sci. 67: 826-834 (2002)
Dalenberg JR, Gutjar S, ter Horst GJ, de Graaf K, Renken RJ, Jager G. Evoked emotions predict food choice. PloS one 9: e115388 (2014)
Dehlholm C, Brockhoff PB, Meinert L, Aaslyng MD, Bredie WL. Rapid descriptive sensory methods-comparison of free multiple sorting, partial napping, napping, flash profiling and conventional profiling. Food Qual. Prefer. 26: 267-277 (2012)
Delarue J, Sieffermann J. Sensory mapping using Flash profile Comparison with a conventional descriptive method for the evaluation of the flavour of fruit dairy products. Food Qual. Prefer. 15: 383-392 (2004)
Dooley L, Lee YS, Meullenet JF. The application of check-all-that-apply (CATA) consumer profiling to preference mapping of vanilla ice cream and its comparison to classical external preference mapping. Food Qual. Prefer. 21: 394-401 (2010)
Jaeger SR, Beresford MK, Paisley AG, Antunez L, Vidal L, Cadena RS, Ares G. Check-all-that-apply (CATA) questions for sensory product characterization by consumers: Investigations into the number of terms used in CATA questions. Food Qual. Prefer. 42: 154-164 (2015)
Jaeger SR, Swaney-Stueve M, Chheang SL, Hunter DC, Pineau B, Ares G. An assessment of the CATA-variant of the EsSense $Profile^{(R)}$ . Food Qual. Prefer. 68: 360-370 (2018)
Kenney E, Adhikari K. Recent developments in identifying and quantifying emotions during food consumption. J. Sci. Food Agric. 96: 3627-3630 (2016)
Kim IA, Kim MA, van de Velden M, Lee HS. Psychological positioning of bottled tea products: A comparison between two Kansei profiling techniques. Food Sci. Biotechnol. 22: 257-268 (2013)
King SC, Meiselman HL. Development of a method to measure consumer emotions associated with foods. Food Qual. Prefer. 21: 168-177 (2010)
Lawless HT, Sheng N, Knoops SSCP. Multidimensional scaling of sorting data applied to cheese perception. Food Qual. Prefer. 6: 91-98 (1995)
Lee YS, Findlay C, Meullenet JF. Experimental consideration for the use of check-all-that-apply questions to describe the sensory properties of orange juices. Int. J. Food Sci. Tech. 48: 215-219 (2013)
Lesniauskas RO, Carr BT. Workshop summary: Data analysis: getting the most out of just-about-right data. Food Qual. Prefer. 15: 891-899 (2004)
Meyners M, Castura JC. Check-all-that-apply questions. Pp. 284-319. In: Novel techniques in sensory characterization and consumer profiling. Varela P, Ares G (ed). CRC Press (2014)
Meyners M, Castura JC. Randomization of CATA attributes: Should attribute lists be allocated to assessors or to samples?. Food Qual. Prefer. 48: 210-215 (2016)
Meyners M, Castura JC, Carr BT. Existing and new approaches for the analysis of CATA data. Food Qual. Prefer. 30: 309-319 (2013)
Meyners M, Jaeger S, Ares G. On the analysis of Rate-All-That-Apply (RATA) data. Food Qual. Prefer. 49: 1-10 (2016)
Ng M, Chaya C, Hort J. Beyond liking: Comparing the measurement of emotional response using EsSense Profile and consumer defined check-all-that-apply methodologies. Food Qual. Prefer. 28: 193-205 (2013)
Oppermann AKL, Graaf DE, Scholten E, Stieger M, Piqueras-Fiszman B. Vidal (RATA) and Descriptive sensory Analysis (DA) of model double emulsions with subtle perceptual differences. Food Qual. Prefer. 56: 55-68 (2017)
Pages J. Collection and analysis of perceived product inter-distances using multiple factor analysis: Application to the study of 10 white wines from the Loire Valley. Food Qual. Prefer. 16: 642-649 (2005)
Plaehn, D. CATA penalty/reward. Food Qual. Prefer. 24: 141-152 (2012)
Risvik E, McEvan JA, Colwill JS, Rogers R, Lyon DH. Projective mapping: A tool for sensory analysis and consumer research. Food Qual. Prefer. 5: 263-269 (1994)
Saenz-Navajas MP, Avizcuri JM, Ferrero-del-Teso S, Valentin D, Ferreira V, Fernandez-Zurbano P. Chemo-sensory characterization of fractions driving different mouthfeel properties in red wines. Food Res. Int. 94: 54-64 (2017)
Schouteten JJ, De Steur H, De Pelsmaeker S, Lagast S, De Bourdeaudhuij I, Gellynck X. An integrated method for the emotional conceptualization and sensory characterization of food products: The $EmoSensory^{(R)}$ Wheel. Food Res. Int. 78: 96-107 (2015)
Schouteten JJ, Gellynck X, De Bourdeaudhuij I, Sas B, Bredie WL, Perez-Cueto FJ, De Steur H. Comparison of response formats and concurrent hedonic measures for optimal use of the $EmoSensory^{(R)}$ Wheel. Food Res. Int. 93: 33-42 (2017)
Valentin D, Chollet S, Lelievre M, Abdi H. Quick and dirty but still pretty good: A review of new descriptive methods in food science. Int. J. Food Sci. Tech. 47: 1563-1578 (2012)
Vidal L, Ares G, Hedderley DI, Meyners M, Jaeger S. Comparison of rate-all-that-apply (RATA) and check-all-that-apply (CATA) questions across seven consumer studies. Food Qual. Prefer. 67: 49-58 (2018)
Vidal L, Jaeger S, Antunez L, Gimenez A, Ares G. Product spaces derived from projective mapping and CATA questions: Influence of replicated assessments and increased number of study participants. J. Sens. Stud. 31: 373-381 (2016)
Waehrens SS, Zhang S, Hedelund PI, Petersen MA, Byrne DV. Application of the fast sensory method 'Rate-All-That-Apply' in chocolate Quality Control compared with DHS-GC-MS. Int. J. Food Sci. Tech. 51: 1877-1887 (2016)
Williams A, Carr BT, Popper R. Exploring analysis options for check-all-that-apply (CATA) questions. In: 9th Pangborn Sensory Science Symposium. September 4-8, Sheraton Centre Toronto Hotel, Toronto, Canada, Elsevier, Amsterdam, Netherlands (2011)
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