$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

Emotions elicited while drinking coffee: A cross-cultural comparison between Korean and Chinese consumers

Food quality and preference, v.76, 2019년, pp.160 - 168  

Hu, Xiaojia (Corresponding author.) ,  Lee, Jeehyun

Abstract AI-Helper 아이콘AI-Helper

Abstract Consumers assess products not only based on their physical aspects but also on their emotion-evoking components. Many methods, such as EsSense Profile®, GEOS, and ScentMove, have been developed for evaluating various kinds of products. Research has suggested the need for developing a s...

주제어

참고문헌 (50)

  1. Food Quality and Preference Ares 32 210 2014 10.1016/j.foodqual.2013.10.006 Visual attention by consumers to check-all-that-apply questions: Insights to support methodological development 

  2. Food Quality and Preference Bangcuyo 41 84 2015 10.1016/j.foodqual.2014.11.017 The use of immersive technologies to improve consumer testing: The role of ecological validity, context and engagement in evaluating coffee 

  3. Food Research International Bhumiratana 61 83 2014 10.1016/j.foodres.2014.03.008 The development of an emotion lexicon for the coffee drinking experience 

  4. Pharmacological Research Bonita 55 187 2007 10.1016/j.phrs.2007.01.006 Coffee and cardiovascular disease: In vitro, cellular, animal, and human studies 

  5. Food Quality and Preference Chaya 45 100 2015 10.1016/j.foodqual.2015.06.003 Developing a reduced consumer-led lexicon to measure emotional response to beer 

  6. Chemical Senses Chrea 34 49 2009 10.1093/chemse/bjn052 Mapping the semantic space for the subjective experience of emotional responses to odors 

  7. Cochran 1992 Experimental designs 

  8. Food Quality and Preference Ferdenzi 30 128 2013 10.1016/j.foodqual.2013.04.010 Affective semantic space of scents. Towards a universal scale to measure self-reported odor-related feelings 

  9. Emotion Ferdenzi 11 1168 2011 10.1037/a0022853 Affective dimensions of odor perception: A comparison between Swiss, British, and Singaporean populations 

  10. Food Quality and Preference Ferrarini 21 720 2010 10.1016/j.foodqual.2010.06.004 The emotional response to wine consumption 

  11. Food Quality and Preference Geel 16 237 2005 10.1016/j.foodqual.2004.04.014 Relating consumer preferences to sensory attributes of instant coffee 

  12. Food Quality and Preference Gmuer 40 77 2015 10.1016/j.foodqual.2014.09.001 From emotion to language: Application of a systematic, linguistic-based approach to design a food-associated emotion lexicon 

  13. Food Quality and Preference Gotow 44 162 2015 10.1016/j.foodqual.2015.04.007 High consumption increases sensitivity to after-flavor of canned coffee beverages 

  14. Food Quality and Preference Gutjar 45 140 2015 10.1016/j.foodqual.2015.06.008 What reported food-evoked emotions may add: A model to predict consumer food choice 

  15. Food Research International Gutjar 76 216 2014 10.1016/j.foodres.2014.12.022 The role of emotions in food choice and liking 

  16. Hangzhou Statistical Information Net. (2012). The status of extraneous people in Hangzhou and its impact on economy. http://www.hzstats.gov.cn/web/infoopen/show_news.aspx?id=37527&code=A034-2012-2-0017 (Accessed 16.05.21). 

  17. Hennig 2016 Handbook of cluster analysis 

  18. Food Quality and Preference Hsu 16 361 2005 10.1016/j.foodqual.2004.06.004 Packed coffee drink consumption and product attribute preferences of young adults in Taiwan 

  19. Language Policy Hu 4 1 5 2005 10.1007/s10993-004-6561-7 English language education in China: Policies, progress, and problems 

  20. International Coffee Organization (ICO). (2016a). Imports by all importing non-member countries. http://www.ico.org/historical/1990%20onwards/PDF/2b-imports.pdf (Accessed 18.07.28). 

  21. International Coffee Organization (ICO). (2016b). Re-exports by all importing non-member countries. http://www.ico.org/historical/1990%20onwards/PDF/2c-re-exports.pdf (Accessed 18.07.28). 

  22. Food Quality and Preference Jaeger 30 229 2013 10.1016/j.foodqual.2013.05.015 Emotion questionnaires: A consumer-centric perspective 

  23. International Journal of Hospitality Management Kang 31 809 2012 10.1016/j.ijhm.2011.09.017 Understanding customer behavior in name-brand Korean coffee shops: The role of self-congruity and functional congruity 

  24. Diabetes Research and Clinical Practice Kim 106 145 2014 10.1016/j.diabres.2014.07.007 Instant coffee consumption may be associated with higher risk of metabolic syndrome in Korean adults 

  25. Asia Digital Art and Design Association Conference Proceedings Kim 12 412 2013 The image of Korean office woman appeared on Maxim coffee mix advertisement 

  26. Food Quality and Preference King 21 168 2010 10.1016/j.foodqual.2009.02.005 Development of a method to measure consumer emotions associated with foods 

  27. Food Quality and Preference Labbe 44 56 2015 10.1016/j.foodqual.2015.03.017 Pleasantness, emotions and perceptions induced by coffee beverage experience depend on the consumption motivation (hedonic or utilitarian) 

  28. Food Research International Labbe 82 53 2016 10.1016/j.foodres.2016.01.020 Impact of crema on expected and actual espresso coffee experience 

  29. Lawless 2010 Sensory evaluation of food: Principles and practices 

  30. Lee 2005 Beauty of dialect 

  31. Food Research International Meiselman 76 192 2015 10.1016/j.foodres.2015.04.015 A review of the current state of emotion research in product development 

  32. Food Quality and Preference Meyners 49 1 2016 10.1016/j.foodqual.2015.11.003 On the analysis of Rate-All-That-Apply (RATA) data 

  33. Ministry of Education (2011). English education curriculum issue 361. http://www.moe.go.kr/boardCnts/view.do?boardID=316&boardSeq=48045&lev=0&searchType=S&statusYN=C&page=1&s=moe&m=030201&opType=N (Accessed on 18.07.28). 

  34. Minjungseorim 2967 2013 Minjung’s essense English-Korean dictionary 

  35. Food Quality and Preference Nestrud 48 107 2016 10.1016/j.foodqual.2015.08.005 Development of EsSense25, a shorter version of the EsSense Profile® 

  36. Food Quality and Preference Ng 28 193 2013 10.1016/j.foodqual.2012.08.012 Beyond liking: Comparing the measurement of emotional response using EsSense Profile and consumer defined check-all-that-apply methodologies 

  37. Pearson Education Asia Limited. (2014) Longman Dictionary of Contemporary English (5th ed. (Chinese Edition)) (p. 2949). Foreign languages teaching and research press: Pearson Publishing China. 

  38. Food Engineering Peryam 24 58 1952 Advanced taste-test method 

  39. Food Technology Peryam 11 9 1957 Hedonic scale method of measuring food preferences 

  40. Food Quality and Preference Petit 18 161 2007 10.1016/j.foodqual.2006.05.008 Testing consumer preferences for iced-coffee: Does the drinking environment have any influence? 

  41. Pionnier Pineau 2010 Poster presented at fourth European conference on sensory and consumer research: A sense of quality Do different flavors generate different emotions? A multidisciplinary approach to measure the emotion response related to beverage consumption 

  42. Science of Emotion & Sensibility Rhee 16 167 2013 Measuring a valence and activation dimension of Korean emotion terms using in social media 

  43. British Journal of Nutrition Rousset 94 609 2005 10.1079/BJN20051538 Emotions generated by meat and other food products in women 

  44. Sarle, W.S. (1983). Cubic clustering criterion. In: SAS Technical Report A-108. Cary, NC: SAS Institute Inc. 

  45. Food Quality and Preference Spinelli 37 109 2014 10.1016/j.foodqual.2013.11.009 How does it make you feel? A new approach to measuring emotions in food product experience 

  46. Food Quality and Preference Thomson 27 137 2013 10.1016/j.foodqual.2012.09.002 A data-driven classification of feelings 

  47. Food Quality and Preference Thomson 21 1117 2010 10.1016/j.foodqual.2010.04.011 Linking sensory characteristics to emotions: An example using dark chocolate 

  48. Food Quality and Preference van Zyl 41 201 2015 10.1016/j.foodqual.2014.12.003 The roles of culture and language in designing emotion lists: Comparing the same language in different English and Spanish speaking countries 

  49. Food Quality and Preference van Zyl 51 72 2016 10.1016/j.foodqual.2016.02.019 An update on the roles of culture and language in designing emotion lists: English, Spanish and Portuguese 

  50. Journal of Agricultural and Food Chemistry Yanagimoto 52 592 2004 10.1021/jf030317t Antioxidative activities of fractions obtained from brewed coffee 

섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로