Comparing a standardized to a product-specific emoji list for evaluating food products by children

•Product-specific emoji list based upon literature and consumer input.•Emoji measurements provide additional information beyond liking.•Product-specific emoji list discriminates better than standardized list. There is a growing interest in the emotional associations of children to food products in o...

Full description

Saved in:
Bibliographic Details
Published inFood quality and preference Vol. 72; pp. 86 - 97
Main Authors Schouteten, Joachim J., Verwaeren, Jan, Gellynck, Xavier, Almli, Valérie L.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.03.2019
Subjects
Online AccessGet full text
ISSN0950-3293
1873-6343
DOI10.1016/j.foodqual.2018.09.007

Cover

Abstract •Product-specific emoji list based upon literature and consumer input.•Emoji measurements provide additional information beyond liking.•Product-specific emoji list discriminates better than standardized list. There is a growing interest in the emotional associations of children to food products in order to better understand their preferences. Recently, emoji were suggested as a novel way to assess these emotional associations. In this study, 172 children aged 8–11 years evaluated the emotional profile of five biscuits in a check-all-that-apply task, where half of the subjects (n = 87) evaluated the applicability of 38 emoji obtained from a standardized emoji list, while the other half (n = 85) worked with 20 emoji from a product-specific emoji list. A similar average number of emoji were used by the participants for the emotional profiling of the samples in both approaches. Results showed that the product-specific emoji list was better able to discriminate between product samples compared to the standardized emoji list. Several emoji were even discriminating between similarly liked samples when using a product-specific emoji list, while only one emoji was able to discriminate between equally-liked samples when using a standardized emoji list. Both approaches produced similar emotional spaces and product configurations, although one needs to consider that the first dimension of the correspondence analysis for the product-specific emoji list explained over 90% of the total variance against 60% for the standardized list. While more research is recommended, this study indicates that a product-specific emoji list could facilitate the emotional product discrimination by children.
AbstractList There is a growing interest in the emotional associations of children to food products in order to better understand their preferences. Recently, emoji were suggested as a novel way to assess these emotional associations. In this study, 172 children aged 8–11 years evaluated the emotional profile of five biscuits in a check-all-that-apply task, where half of the subjects (n = 87) evaluated the applicability of 38 emoji obtained from a standardized emoji list, while the other half (n = 85) worked with 20 emoji from a product-specific emoji list. A similar average number of emoji were used by the participants for the emotional profiling of the samples in both approaches. Results showed that the product-specific emoji list was better able to discriminate between product samples compared to the standardized emoji list. Several emoji were even discriminating between similarly liked samples when using a product-specific emoji list, while only one emoji was able to discriminate between equally-liked samples when using a standardized emoji list. Both approaches produced similar emotional spaces and product configurations, although one needs to consider that the first dimension of the correspondence analysis for the product-specific emoji list explained over 90% of the total variance against 60% for the standardized list. While more research is recommended, this study indicates that a product-specific emoji list could facilitate the emotional product discrimination by children.
•Product-specific emoji list based upon literature and consumer input.•Emoji measurements provide additional information beyond liking.•Product-specific emoji list discriminates better than standardized list. There is a growing interest in the emotional associations of children to food products in order to better understand their preferences. Recently, emoji were suggested as a novel way to assess these emotional associations. In this study, 172 children aged 8–11 years evaluated the emotional profile of five biscuits in a check-all-that-apply task, where half of the subjects (n = 87) evaluated the applicability of 38 emoji obtained from a standardized emoji list, while the other half (n = 85) worked with 20 emoji from a product-specific emoji list. A similar average number of emoji were used by the participants for the emotional profiling of the samples in both approaches. Results showed that the product-specific emoji list was better able to discriminate between product samples compared to the standardized emoji list. Several emoji were even discriminating between similarly liked samples when using a product-specific emoji list, while only one emoji was able to discriminate between equally-liked samples when using a standardized emoji list. Both approaches produced similar emotional spaces and product configurations, although one needs to consider that the first dimension of the correspondence analysis for the product-specific emoji list explained over 90% of the total variance against 60% for the standardized list. While more research is recommended, this study indicates that a product-specific emoji list could facilitate the emotional product discrimination by children.
Author Verwaeren, Jan
Gellynck, Xavier
Schouteten, Joachim J.
Almli, Valérie L.
Author_xml – sequence: 1
  givenname: Joachim J.
  surname: Schouteten
  fullname: Schouteten, Joachim J.
  email: Joachim.Schouteten@UGent.be
  organization: Department of Agricultural Economics, Ghent University, Coupure Links 653, 9000 Gent, Belgium
– sequence: 2
  givenname: Jan
  surname: Verwaeren
  fullname: Verwaeren, Jan
  organization: Department of Data Analysis and Mathematical Modeling, Ghent University, Coupure Links 653, 9000 Gent, Belgium
– sequence: 3
  givenname: Xavier
  surname: Gellynck
  fullname: Gellynck, Xavier
  organization: Department of Agricultural Economics, Ghent University, Coupure Links 653, 9000 Gent, Belgium
– sequence: 4
  givenname: Valérie L.
  surname: Almli
  fullname: Almli, Valérie L.
  organization: Nofima AS, P.O. Box 210, 1431 Ås, Norway
BookMark eNqFkE1LAzEQhoMo2Fb_guToZddks18BD0rxCwpe9Bxmk1lN2W7aJFuov94ttRcvPc0wvM8w80zJee96JOSGs5QzXt4t09Y5sxmgSzPG65TJlLHqjEx4XYmkFLk4JxMmC5aITIpLMg1hyRivGM8mpJm71Rq87b8o0BChN-CN_UFDoxsna-_MoGMS1qhtazXFlVta2tkQaes8xS10A8Q9vj_imA-02VH9bTvjsb8iFy10Aa__6ox8Pj99zF-TxfvL2_xxkWiRFzHJATRvgBlkeWVkUfBcc5mPPee6KaA2mRZNUZYNomlEwWWlyxoyRNZCJVsxI7eHveMRmwFDVCsbNHYd9OiGoDJeyyLnUuZj9P4Q1d6F4LFV2sbxDddHD7ZTnKm9WrVUR7Vqr1YxqUa1I17-w9fersDvToMPBxBHD1uLXgVtsddorEcdlXH21IpftQacaA
CitedBy_id crossref_primary_10_1016_j_foodqual_2020_104060
crossref_primary_10_1016_j_foodqual_2022_104781
crossref_primary_10_1111_joss_12573
crossref_primary_10_1016_j_foodqual_2019_04_009
crossref_primary_10_1016_j_foodqual_2020_104121
crossref_primary_10_1016_j_foodqual_2022_104541
crossref_primary_10_1016_j_foodqual_2022_104585
crossref_primary_10_1016_j_foodqual_2022_104761
crossref_primary_10_3390_foods13131975
crossref_primary_10_1016_j_foodqual_2022_104547
crossref_primary_10_1111_joss_12726
crossref_primary_10_1186_s40510_022_00418_3
crossref_primary_10_1111_joss_12545
crossref_primary_10_3390_foods9091307
crossref_primary_10_1186_s12889_024_20770_9
crossref_primary_10_1111_joss_12663
crossref_primary_10_1016_j_foodqual_2022_104791
crossref_primary_10_3390_foods10010021
crossref_primary_10_1016_j_foodres_2021_110269
crossref_primary_10_3389_fpsyg_2019_02221
crossref_primary_10_3390_foods12112250
crossref_primary_10_1016_j_foodqual_2022_104551
crossref_primary_10_1145_3723047
crossref_primary_10_1016_j_foodres_2020_109113
crossref_primary_10_1016_j_foodqual_2020_104009
crossref_primary_10_1016_j_foodqual_2020_103953
crossref_primary_10_1016_j_foodres_2019_02_027
crossref_primary_10_12944_CRNFSJ_12_2_22
crossref_primary_10_3390_foods11070972
crossref_primary_10_3390_foods10112880
crossref_primary_10_1016_j_foodres_2022_111299
crossref_primary_10_32714_ricl_13_01_04
crossref_primary_10_1016_j_foodqual_2020_104083
crossref_primary_10_1016_j_foodqual_2023_105094
Cites_doi 10.3389/fpsyg.2017.02264
10.1016/j.foodqual.2013.10.008
10.1016/j.foodqual.2015.07.010
10.1016/j.foodres.2015.04.015
10.1016/j.foodqual.2009.02.005
10.1016/j.appet.2013.08.016
10.1111/j.1745-459X.1989.tb00463.x
10.1016/j.tifs.2013.12.005
10.1016/j.foodqual.2013.06.010
10.3168/jds.2016-11495
10.18637/jss.v025.i01
10.1016/j.foodqual.2013.11.009
10.1016/j.foodqual.2017.05.016
10.1016/j.foodqual.2014.12.009
10.1016/j.foodres.2016.08.006
10.1111/joss.12249
10.1016/j.foodqual.2017.04.009
10.1111/joss.12267
10.1016/j.foodqual.2018.03.005
10.1016/j.foodqual.2013.05.015
10.1016/j.tifs.2017.09.006
10.1016/j.foodqual.2015.06.008
10.1016/j.foodres.2016.12.015
10.1016/j.foodqual.2012.08.007
10.1016/j.foodres.2014.03.008
10.1016/j.foodqual.2005.09.014
10.1016/j.foodres.2015.11.001
10.1016/j.foodqual.2007.04.008
10.1016/j.foodqual.2016.03.011
10.3390/nu7125533
10.1111/joss.12116
10.1016/j.foodqual.2011.12.002
10.1016/j.foodres.2015.04.006
10.1016/j.foodqual.2018.03.002
10.1016/j.foodqual.2010.04.011
10.1016/j.foodqual.2012.08.012
10.1016/j.foodqual.2016.09.005
10.1371/journal.pone.0115388
10.1111/joss.12264
ContentType Journal Article
Copyright 2018 Elsevier Ltd
Copyright_xml – notice: 2018 Elsevier Ltd
DBID AAYXX
CITATION
7S9
L.6
DOI 10.1016/j.foodqual.2018.09.007
DatabaseName CrossRef
AGRICOLA
AGRICOLA - Academic
DatabaseTitle CrossRef
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList AGRICOLA

DeliveryMethod fulltext_linktorsrc
Discipline Diet & Clinical Nutrition
EISSN 1873-6343
EndPage 97
ExternalDocumentID 10_1016_j_foodqual_2018_09_007
S095032931830452X
GroupedDBID --K
--M
.~1
0R~
1B1
1RT
1~.
1~5
29H
3EH
4.4
457
4G.
53G
5GY
5VS
7-5
71M
8P~
9JM
AABVA
AACTN
AADPK
AAEDT
AAEDW
AAIAV
AAIKJ
AAKOC
AALCJ
AALRI
AAOAW
AAQFI
AAQXK
AATLK
AAXLA
AAXUO
ABFNM
ABFRF
ABGRD
ABIVO
ABJNI
ABMAC
ABXDB
ABYKQ
ACDAQ
ACGFO
ACGFS
ACIUM
ACRLP
ADBBV
ADEZE
ADMUD
ADQTV
AEBSH
AEFWE
AEKER
AENEX
AEQOU
AFKWA
AFTJW
AFXIZ
AGHFR
AGUBO
AGWIK
AGYEJ
AHHHB
AIEXJ
AIKHN
AITUG
AJBFU
AJOXV
ALMA_UNASSIGNED_HOLDINGS
AMFUW
AMRAJ
ASPBG
AVWKF
AXJTR
AZFZN
BKOJK
BLXMC
CBWCG
CS3
DU5
EBS
EFJIC
EFLBG
EJD
EO8
EO9
EP2
EP3
F5P
FDB
FEDTE
FGOYB
FIRID
FNPLU
FYGXN
G-2
G-Q
GBLVA
HLV
HVGLF
HZ~
IHE
J1W
K-O
KOM
LW9
M41
MO0
MOBAO
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
Q38
R2-
RIG
ROL
RPZ
SAB
SDF
SDG
SDP
SES
SEW
SPCBC
SSA
SSN
SSZ
T5K
UHS
UNMZH
WH7
WUQ
Y6R
~G-
~KM
AAHBH
AATTM
AAXKI
AAYWO
AAYXX
ABWVN
ACRPL
ACVFH
ADCNI
ADNMO
AEIPS
AEUPX
AFJKZ
AFPUW
AGCQF
AGQPQ
AGRNS
AIGII
AIIUN
AKBMS
AKRWK
AKYEP
ANKPU
APXCP
BNPGV
CITATION
SSH
7S9
EFKBS
L.6
ID FETCH-LOGICAL-c345t-4aac1ba0de047d95514c19447d11cb5a8d2c3b566beedb35197c68a2ee0fa79f3
IEDL.DBID AIKHN
ISSN 0950-3293
IngestDate Thu Sep 04 21:36:37 EDT 2025
Tue Jul 01 01:05:05 EDT 2025
Thu Apr 24 23:04:56 EDT 2025
Fri Feb 23 02:27:48 EST 2024
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords Emoji
Biscuit
Child
Check-all-that-apply (CATA)
Hedonic
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c345t-4aac1ba0de047d95514c19447d11cb5a8d2c3b566beedb35197c68a2ee0fa79f3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
PQID 2189541994
PQPubID 24069
PageCount 12
ParticipantIDs proquest_miscellaneous_2189541994
crossref_citationtrail_10_1016_j_foodqual_2018_09_007
crossref_primary_10_1016_j_foodqual_2018_09_007
elsevier_sciencedirect_doi_10_1016_j_foodqual_2018_09_007
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate March 2019
2019-03-00
20190301
PublicationDateYYYYMMDD 2019-03-01
PublicationDate_xml – month: 03
  year: 2019
  text: March 2019
PublicationDecade 2010
PublicationTitle Food quality and preference
PublicationYear 2019
Publisher Elsevier Ltd
Publisher_xml – name: Elsevier Ltd
References King, Meiselman, Carr (b0090) 2013; 28
De Pelsmaeker, Schouteten, Gellynck (b0025) 2013; 71
Dalenberg, Gutjar, ter Horst, de Graaf, Renken, Jager (b0015) 2014; 9
Greenacre, Blasius (b0040) 2006
Schouteten, Gellynck, De Bourdeaudhuij, Sas, Bredie, Perez-Cueto (b0185) 2017; 93
R Core Team (b0155) 2014
Schouteten, De Steur, Lagast, De Pelsmaeker, Gellynck (b0175) 2017; 32
Bhumiratana, Adhikari, Chambers Iv (b0005) 2014; 61
Gallo, Swaney-Stueve, Chambers (b0030) 2017; 32
Meiselman (b0130) 2015; 76
Lê, Josse, Husson (b0115) 2008; 25
Jiang, King, Prinyawiwatkul (b0080) 2014; 36
Danner, Ristic, Johnson, Meiselman, Hoek, Jeffery (b0020) 2016; 89
Ng, Chaya, Hort (b0145) 2013; 28
Jaeger, Cardello, Schutz (b0060) 2013; 30
Cardello, Meiselman, Schutz, Craig, Given, Lesher (b0010) 2012; 24
Thomson, Crocker (b0210) 2014; 33
Jaeger, Ares (b0055) 2017; 62
Jaeger, Lee, Kim, Chheang, Jin, Ares (b0070) 2017; 62
Jervis, Jervis, Guthrie, Drake (b0075) 2014; 29
Schouteten, De Steur, Sas, De Bourdeaudhuij, Gellynck (b0180) 2017; 100
Swaney-Stueve, Jepsen, Deubler (b0205) 2018; 68
Thomson, Crocker, Marketo (b0215) 2010; 21
Laureati, Pagliarini, Toschi, Monteleone (b0110) 2015; 46
Schouteten, Verwaeren, Lagast, Gellynck, De Steur (b0190) 2018; 68
Morand, Pagès (b0140) 2006; 17
King, Meiselman (b0085) 2010; 21
Lagast, Gellynck, Schouteten, De Herdt, De Steur (b0100) 2017; 69
Gallo, Swaney-Stueve, Chambers (b0035) 2017; 32
MacFie, Bratchell, Greenhoff, Vallis (b0125) 1989; 4
Köster, Mojet (b0095) 2015; 76
Schouteten, De Steur, De Pelsmaeker, Lagast, De Bourdeaudhuij, Gellynck (b0165) 2015; 7
Spinelli, Masi, Zoboli, Prescott, Monteleone (b0200) 2015; 42
Pramudya, Seo (b0150) 2017; 8
Schouteten, De Steur, De Pelsmaeker, Lagast, Juvinal, De Bourdeaudhuij (b0170) 2016; 52
Lê, Pagès, Husson (b0120) 2008; 19
Schouteten, De Steur, De Pelsmaeker, Lagast, De Bourdeaudhuij, Gellynck (b0160) 2015; 78
Jaeger, Vidal, Kam, Ares (b0065) 2017; 56
Gutjar, Dalenberg, de Graaf, de Wijk, Palascha, Renken (b0045) 2015; 45
Spinelli, Masi, Dinnella, Zoboli, Monteleone (b0195) 2014; 37
Hair, Black, Babin, Anderson (b0050) 2009
Meyners, Castura, Carr (b0135) 2013; 30
Pramudya (10.1016/j.foodqual.2018.09.007_b0150) 2017; 8
King (10.1016/j.foodqual.2018.09.007_b0085) 2010; 21
Lê (10.1016/j.foodqual.2018.09.007_b0120) 2008; 19
Schouteten (10.1016/j.foodqual.2018.09.007_b0185) 2017; 93
Ng (10.1016/j.foodqual.2018.09.007_b0145) 2013; 28
Jaeger (10.1016/j.foodqual.2018.09.007_b0055) 2017; 62
Spinelli (10.1016/j.foodqual.2018.09.007_b0195) 2014; 37
Thomson (10.1016/j.foodqual.2018.09.007_b0215) 2010; 21
Jiang (10.1016/j.foodqual.2018.09.007_b0080) 2014; 36
King (10.1016/j.foodqual.2018.09.007_b0090) 2013; 28
Laureati (10.1016/j.foodqual.2018.09.007_b0110) 2015; 46
Gallo (10.1016/j.foodqual.2018.09.007_b0030) 2017; 32
Cardello (10.1016/j.foodqual.2018.09.007_b0010) 2012; 24
Gutjar (10.1016/j.foodqual.2018.09.007_b0045) 2015; 45
Spinelli (10.1016/j.foodqual.2018.09.007_b0200) 2015; 42
Dalenberg (10.1016/j.foodqual.2018.09.007_b0015) 2014; 9
Hair (10.1016/j.foodqual.2018.09.007_b0050) 2009
Lê (10.1016/j.foodqual.2018.09.007_b0115) 2008; 25
Meyners (10.1016/j.foodqual.2018.09.007_b0135) 2013; 30
Schouteten (10.1016/j.foodqual.2018.09.007_b0160) 2015; 78
Schouteten (10.1016/j.foodqual.2018.09.007_b0190) 2018; 68
Gallo (10.1016/j.foodqual.2018.09.007_b0035) 2017; 32
Meiselman (10.1016/j.foodqual.2018.09.007_b0130) 2015; 76
Schouteten (10.1016/j.foodqual.2018.09.007_b0175) 2017; 32
Thomson (10.1016/j.foodqual.2018.09.007_b0210) 2014; 33
MacFie (10.1016/j.foodqual.2018.09.007_b0125) 1989; 4
Swaney-Stueve (10.1016/j.foodqual.2018.09.007_b0205) 2018; 68
Jaeger (10.1016/j.foodqual.2018.09.007_b0060) 2013; 30
De Pelsmaeker (10.1016/j.foodqual.2018.09.007_b0025) 2013; 71
Köster (10.1016/j.foodqual.2018.09.007_b0095) 2015; 76
Danner (10.1016/j.foodqual.2018.09.007_b0020) 2016; 89
Jaeger (10.1016/j.foodqual.2018.09.007_b0065) 2017; 56
Bhumiratana (10.1016/j.foodqual.2018.09.007_b0005) 2014; 61
Morand (10.1016/j.foodqual.2018.09.007_b0140) 2006; 17
Schouteten (10.1016/j.foodqual.2018.09.007_b0165) 2015; 7
Schouteten (10.1016/j.foodqual.2018.09.007_b0180) 2017; 100
Jervis (10.1016/j.foodqual.2018.09.007_b0075) 2014; 29
Greenacre (10.1016/j.foodqual.2018.09.007_b0040) 2006
Jaeger (10.1016/j.foodqual.2018.09.007_b0070) 2017; 62
Lagast (10.1016/j.foodqual.2018.09.007_b0100) 2017; 69
R Core Team (10.1016/j.foodqual.2018.09.007_b0155) 2014
Schouteten (10.1016/j.foodqual.2018.09.007_b0170) 2016; 52
References_xml – volume: 21
  start-page: 1117
  year: 2010
  end-page: 1125
  ident: b0215
  article-title: Linking sensory characteristics to emotions: An example using dark chocolate
  publication-title: Food Quality and Preference
– volume: 56
  start-page: 38
  year: 2017
  end-page: 48
  ident: b0065
  article-title: Can emoji be used as a direct method to measure emotional associations to food names? Preliminary investigations with consumers in USA and China
  publication-title: Food Quality and Preference
– volume: 4
  start-page: 129
  year: 1989
  end-page: 148
  ident: b0125
  article-title: Designs to balance the effect of order of presentation and first-order carry-over effects in hall tests
  publication-title: Journal of Sensory Studies
– volume: 76
  start-page: 180
  year: 2015
  end-page: 191
  ident: b0095
  article-title: From mood to food and from food to mood: A psychological perspective on the measurement of food-related emotions in consumer research
  publication-title: Food Research International
– volume: 76
  start-page: 192
  year: 2015
  end-page: 199
  ident: b0130
  article-title: A review of the current state of emotion research in product development
  publication-title: Food Research International
– volume: 93
  start-page: 33
  year: 2017
  end-page: 42
  ident: b0185
  article-title: Comparison of response formats and concurrent hedonic measures for optimal use of the EmoSensory® Wheel
  publication-title: Food Research International
– volume: 89
  start-page: 254
  year: 2016
  end-page: 265
  ident: b0020
  article-title: Context and wine quality effects on consumers’ mood, emotions, liking and willingness to pay for Australian Shiraz wines
  publication-title: Food Research International
– year: 2009
  ident: b0050
  article-title: Multivariate data analysis: A global perspective
– volume: 62
  start-page: 275
  year: 2017
  end-page: 283
  ident: b0055
  article-title: Dominant meanings of facial emoji: Insights from Chinese consumers and comparison with meanings from internet resources
  publication-title: Food Quality and Preference
– volume: 29
  start-page: 351
  year: 2014
  end-page: 361
  ident: b0075
  article-title: Determining children’s perceptions, opinions and attitudes for sliced sandwich breads
  publication-title: Journal of Sensory Studies
– volume: 36
  start-page: 15
  year: 2014
  end-page: 28
  ident: b0080
  article-title: A review of measurement and relationships between food, eating behavior and emotion
  publication-title: Trends in Food Science & Technology
– volume: 42
  start-page: 1
  year: 2015
  end-page: 11
  ident: b0200
  article-title: Emotional responses to branded and unbranded foods
  publication-title: Food Quality and Preference
– volume: 30
  start-page: 229
  year: 2013
  end-page: 241
  ident: b0060
  article-title: Emotion questionnaires: A consumer-centric perspective
  publication-title: Food Quality and Preference
– volume: 21
  start-page: 168
  year: 2010
  end-page: 177
  ident: b0085
  article-title: Development of a method to measure consumer emotions associated with foods
  publication-title: Food Quality and Preference
– volume: 68
  start-page: 322
  year: 2018
  end-page: 331
  ident: b0190
  article-title: Emoji as a tool for measuring children’s emotions when tasting food
  publication-title: Food Quality and Preference
– volume: 61
  start-page: 83
  year: 2014
  end-page: 92
  ident: b0005
  article-title: The development of an emotion lexicon for the coffee drinking experience
  publication-title: Food Research International
– volume: 8
  start-page: 2264
  year: 2017
  ident: b0150
  article-title: Influences of product temperature on emotional responses to, and sensory attributes of, coffee and green tea beverages
  publication-title: Frontiers in Psychology
– volume: 69
  start-page: 172
  year: 2017
  end-page: 189
  ident: b0100
  article-title: Consumers’ emotions elicited by food: A systematic review of explicit and implicit methods
  publication-title: Trends in Food Science & Technology
– year: 2014
  ident: b0155
  article-title: R: A language and environment for statistical computing
– volume: 19
  start-page: 179
  year: 2008
  end-page: 184
  ident: b0120
  article-title: Methodology for the comparison of sensory profiles provided by several panels: Application to a cross-cultural study
  publication-title: Food Quality and Preference
– volume: 32
  start-page: e12249
  year: 2017
  ident: b0175
  article-title: Emotional and sensory profiling by children and teenagers: A case study of the check-all-that-apply method on biscuits
  publication-title: Journal of Sensory Studies
– volume: 78
  start-page: 96
  year: 2015
  end-page: 107
  ident: b0160
  article-title: An integrated method for the emotional conceptualization and sensory characterization of food products: The EmoSensory® Wheel
  publication-title: Food Research International
– volume: 46
  start-page: 92
  year: 2015
  end-page: 102
  ident: b0110
  article-title: Research challenges and methods to study food preferences in school-aged children: A review of the last 15 years
  publication-title: Food Quality and Preference
– volume: 45
  start-page: 140
  year: 2015
  end-page: 148
  ident: b0045
  article-title: What reported food-evoked emotions may add: A model to predict consumer food choice
  publication-title: Food Quality and Preference
– volume: 30
  start-page: 309
  year: 2013
  end-page: 319
  ident: b0135
  article-title: Existing and new approaches for the analysis of CATA data
  publication-title: Food Quality and Preference
– volume: 100
  start-page: 169
  year: 2017
  end-page: 186
  ident: b0180
  article-title: The effect of the research setting on the emotional and sensory profiling under blind, expected, and informed conditions: A study on premium and private label yogurt products
  publication-title: Journal of Dairy Science
– volume: 52
  start-page: 27
  year: 2016
  end-page: 31
  ident: b0170
  article-title: Emotional and sensory profiling of insect-, plant- and meat-based burgers under blind, expected and informed conditions
  publication-title: Food Quality and Preference
– volume: 68
  start-page: 183
  year: 2018
  end-page: 190
  ident: b0205
  article-title: The emoji scale: A facial scale for the 21st century
  publication-title: Food Quality and Preference
– volume: 33
  start-page: 1
  year: 2014
  end-page: 13
  ident: b0210
  article-title: Development and evaluation of measurement tools for conceptual profiling of unbranded products
  publication-title: Food Quality and Preference
– volume: 28
  start-page: 193
  year: 2013
  end-page: 205
  ident: b0145
  article-title: Beyond liking: Comparing the measurement of emotional response using EsSense Profile and consumer defined check-all-that-apply methodologies
  publication-title: Food Quality and Preference
– volume: 62
  start-page: 46
  year: 2017
  end-page: 59
  ident: b0070
  article-title: Measurement of product emotions using emoji surveys: Case studies with tasted foods and beverages
  publication-title: Food Quality and Preference
– volume: 9
  year: 2014
  ident: b0015
  article-title: Evoked emotions predict food choice
  publication-title: PLoS ONE
– volume: 25
  start-page: 1
  year: 2008
  end-page: 18
  ident: b0115
  article-title: FactoMineR: An R package for multivariate analysis
  publication-title: Journal of Statistical Software
– volume: 7
  start-page: 5533
  year: 2015
  ident: b0165
  article-title: Impact of health labels on flavor perception and emotional profiling: A consumer study on cheese
  publication-title: Nutrients
– volume: 37
  start-page: 109
  year: 2014
  end-page: 122
  ident: b0195
  article-title: How does it make you feel? A new approach to measuring emotions in food product experience
  publication-title: Food Quality and Preference
– year: 2006
  ident: b0040
  article-title: Multiple correspondence analysis and related methods
– volume: 28
  start-page: 8
  year: 2013
  end-page: 16
  ident: b0090
  article-title: Measuring emotions associated with foods: Important elements of questionnaire and test design
  publication-title: Food Quality and Preference
– volume: 24
  start-page: 243
  year: 2012
  end-page: 250
  ident: b0010
  article-title: Measuring emotional responses to foods and food names using questionnaires
  publication-title: Food Quality and Preference
– volume: 71
  start-page: 279
  year: 2013
  end-page: 286
  ident: b0025
  article-title: The consumption of flavored milk among a children population. The influence of beliefs and the association of brands with emotions
  publication-title: Appetite
– volume: 32
  year: 2017
  ident: b0030
  article-title: Comparing visual food images versus actual food when measuring emotional response of children
  publication-title: Journal of Sensory Studies
– volume: 32
  year: 2017
  ident: b0035
  article-title: A focus group approach to understanding food-related emotions with children using words and emojis
  publication-title: Journal of Sensory Studies
– volume: 17
  start-page: 36
  year: 2006
  end-page: 42
  ident: b0140
  article-title: Procrustes multiple factor analysis to analyse the overall perception of food products
  publication-title: Food Quality and Preference
– volume: 8
  start-page: 2264
  year: 2017
  ident: 10.1016/j.foodqual.2018.09.007_b0150
  article-title: Influences of product temperature on emotional responses to, and sensory attributes of, coffee and green tea beverages
  publication-title: Frontiers in Psychology
  doi: 10.3389/fpsyg.2017.02264
– volume: 33
  start-page: 1
  year: 2014
  ident: 10.1016/j.foodqual.2018.09.007_b0210
  article-title: Development and evaluation of measurement tools for conceptual profiling of unbranded products
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2013.10.008
– volume: 46
  start-page: 92
  year: 2015
  ident: 10.1016/j.foodqual.2018.09.007_b0110
  article-title: Research challenges and methods to study food preferences in school-aged children: A review of the last 15 years
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2015.07.010
– volume: 76
  start-page: 192
  year: 2015
  ident: 10.1016/j.foodqual.2018.09.007_b0130
  article-title: A review of the current state of emotion research in product development
  publication-title: Food Research International
  doi: 10.1016/j.foodres.2015.04.015
– volume: 21
  start-page: 168
  year: 2010
  ident: 10.1016/j.foodqual.2018.09.007_b0085
  article-title: Development of a method to measure consumer emotions associated with foods
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2009.02.005
– volume: 71
  start-page: 279
  year: 2013
  ident: 10.1016/j.foodqual.2018.09.007_b0025
  article-title: The consumption of flavored milk among a children population. The influence of beliefs and the association of brands with emotions
  publication-title: Appetite
  doi: 10.1016/j.appet.2013.08.016
– volume: 4
  start-page: 129
  year: 1989
  ident: 10.1016/j.foodqual.2018.09.007_b0125
  article-title: Designs to balance the effect of order of presentation and first-order carry-over effects in hall tests
  publication-title: Journal of Sensory Studies
  doi: 10.1111/j.1745-459X.1989.tb00463.x
– volume: 36
  start-page: 15
  year: 2014
  ident: 10.1016/j.foodqual.2018.09.007_b0080
  article-title: A review of measurement and relationships between food, eating behavior and emotion
  publication-title: Trends in Food Science & Technology
  doi: 10.1016/j.tifs.2013.12.005
– volume: 30
  start-page: 309
  year: 2013
  ident: 10.1016/j.foodqual.2018.09.007_b0135
  article-title: Existing and new approaches for the analysis of CATA data
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2013.06.010
– volume: 100
  start-page: 169
  year: 2017
  ident: 10.1016/j.foodqual.2018.09.007_b0180
  article-title: The effect of the research setting on the emotional and sensory profiling under blind, expected, and informed conditions: A study on premium and private label yogurt products
  publication-title: Journal of Dairy Science
  doi: 10.3168/jds.2016-11495
– volume: 25
  start-page: 1
  year: 2008
  ident: 10.1016/j.foodqual.2018.09.007_b0115
  article-title: FactoMineR: An R package for multivariate analysis
  publication-title: Journal of Statistical Software
  doi: 10.18637/jss.v025.i01
– volume: 37
  start-page: 109
  year: 2014
  ident: 10.1016/j.foodqual.2018.09.007_b0195
  article-title: How does it make you feel? A new approach to measuring emotions in food product experience
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2013.11.009
– year: 2006
  ident: 10.1016/j.foodqual.2018.09.007_b0040
– volume: 62
  start-page: 46
  year: 2017
  ident: 10.1016/j.foodqual.2018.09.007_b0070
  article-title: Measurement of product emotions using emoji surveys: Case studies with tasted foods and beverages
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2017.05.016
– volume: 42
  start-page: 1
  year: 2015
  ident: 10.1016/j.foodqual.2018.09.007_b0200
  article-title: Emotional responses to branded and unbranded foods
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2014.12.009
– volume: 89
  start-page: 254
  year: 2016
  ident: 10.1016/j.foodqual.2018.09.007_b0020
  article-title: Context and wine quality effects on consumers’ mood, emotions, liking and willingness to pay for Australian Shiraz wines
  publication-title: Food Research International
  doi: 10.1016/j.foodres.2016.08.006
– volume: 32
  start-page: e12249
  year: 2017
  ident: 10.1016/j.foodqual.2018.09.007_b0175
  article-title: Emotional and sensory profiling by children and teenagers: A case study of the check-all-that-apply method on biscuits
  publication-title: Journal of Sensory Studies
  doi: 10.1111/joss.12249
– volume: 62
  start-page: 275
  year: 2017
  ident: 10.1016/j.foodqual.2018.09.007_b0055
  article-title: Dominant meanings of facial emoji: Insights from Chinese consumers and comparison with meanings from internet resources
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2017.04.009
– volume: 32
  year: 2017
  ident: 10.1016/j.foodqual.2018.09.007_b0030
  article-title: Comparing visual food images versus actual food when measuring emotional response of children
  publication-title: Journal of Sensory Studies
  doi: 10.1111/joss.12267
– volume: 68
  start-page: 322
  year: 2018
  ident: 10.1016/j.foodqual.2018.09.007_b0190
  article-title: Emoji as a tool for measuring children’s emotions when tasting food
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2018.03.005
– volume: 30
  start-page: 229
  year: 2013
  ident: 10.1016/j.foodqual.2018.09.007_b0060
  article-title: Emotion questionnaires: A consumer-centric perspective
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2013.05.015
– volume: 69
  start-page: 172
  year: 2017
  ident: 10.1016/j.foodqual.2018.09.007_b0100
  article-title: Consumers’ emotions elicited by food: A systematic review of explicit and implicit methods
  publication-title: Trends in Food Science & Technology
  doi: 10.1016/j.tifs.2017.09.006
– volume: 45
  start-page: 140
  year: 2015
  ident: 10.1016/j.foodqual.2018.09.007_b0045
  article-title: What reported food-evoked emotions may add: A model to predict consumer food choice
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2015.06.008
– volume: 93
  start-page: 33
  year: 2017
  ident: 10.1016/j.foodqual.2018.09.007_b0185
  article-title: Comparison of response formats and concurrent hedonic measures for optimal use of the EmoSensory® Wheel
  publication-title: Food Research International
  doi: 10.1016/j.foodres.2016.12.015
– volume: 28
  start-page: 8
  year: 2013
  ident: 10.1016/j.foodqual.2018.09.007_b0090
  article-title: Measuring emotions associated with foods: Important elements of questionnaire and test design
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2012.08.007
– volume: 61
  start-page: 83
  year: 2014
  ident: 10.1016/j.foodqual.2018.09.007_b0005
  article-title: The development of an emotion lexicon for the coffee drinking experience
  publication-title: Food Research International
  doi: 10.1016/j.foodres.2014.03.008
– volume: 17
  start-page: 36
  year: 2006
  ident: 10.1016/j.foodqual.2018.09.007_b0140
  article-title: Procrustes multiple factor analysis to analyse the overall perception of food products
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2005.09.014
– volume: 78
  start-page: 96
  year: 2015
  ident: 10.1016/j.foodqual.2018.09.007_b0160
  article-title: An integrated method for the emotional conceptualization and sensory characterization of food products: The EmoSensory® Wheel
  publication-title: Food Research International
  doi: 10.1016/j.foodres.2015.11.001
– volume: 19
  start-page: 179
  year: 2008
  ident: 10.1016/j.foodqual.2018.09.007_b0120
  article-title: Methodology for the comparison of sensory profiles provided by several panels: Application to a cross-cultural study
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2007.04.008
– volume: 52
  start-page: 27
  year: 2016
  ident: 10.1016/j.foodqual.2018.09.007_b0170
  article-title: Emotional and sensory profiling of insect-, plant- and meat-based burgers under blind, expected and informed conditions
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2016.03.011
– volume: 7
  start-page: 5533
  year: 2015
  ident: 10.1016/j.foodqual.2018.09.007_b0165
  article-title: Impact of health labels on flavor perception and emotional profiling: A consumer study on cheese
  publication-title: Nutrients
  doi: 10.3390/nu7125533
– volume: 29
  start-page: 351
  year: 2014
  ident: 10.1016/j.foodqual.2018.09.007_b0075
  article-title: Determining children’s perceptions, opinions and attitudes for sliced sandwich breads
  publication-title: Journal of Sensory Studies
  doi: 10.1111/joss.12116
– volume: 24
  start-page: 243
  year: 2012
  ident: 10.1016/j.foodqual.2018.09.007_b0010
  article-title: Measuring emotional responses to foods and food names using questionnaires
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2011.12.002
– volume: 76
  start-page: 180
  year: 2015
  ident: 10.1016/j.foodqual.2018.09.007_b0095
  article-title: From mood to food and from food to mood: A psychological perspective on the measurement of food-related emotions in consumer research
  publication-title: Food Research International
  doi: 10.1016/j.foodres.2015.04.006
– volume: 68
  start-page: 183
  year: 2018
  ident: 10.1016/j.foodqual.2018.09.007_b0205
  article-title: The emoji scale: A facial scale for the 21st century
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2018.03.002
– volume: 21
  start-page: 1117
  year: 2010
  ident: 10.1016/j.foodqual.2018.09.007_b0215
  article-title: Linking sensory characteristics to emotions: An example using dark chocolate
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2010.04.011
– volume: 28
  start-page: 193
  year: 2013
  ident: 10.1016/j.foodqual.2018.09.007_b0145
  article-title: Beyond liking: Comparing the measurement of emotional response using EsSense Profile and consumer defined check-all-that-apply methodologies
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2012.08.012
– year: 2014
  ident: 10.1016/j.foodqual.2018.09.007_b0155
– volume: 56
  start-page: 38
  issue: Part A
  year: 2017
  ident: 10.1016/j.foodqual.2018.09.007_b0065
  article-title: Can emoji be used as a direct method to measure emotional associations to food names? Preliminary investigations with consumers in USA and China
  publication-title: Food Quality and Preference
  doi: 10.1016/j.foodqual.2016.09.005
– year: 2009
  ident: 10.1016/j.foodqual.2018.09.007_b0050
– volume: 9
  year: 2014
  ident: 10.1016/j.foodqual.2018.09.007_b0015
  article-title: Evoked emotions predict food choice
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0115388
– volume: 32
  year: 2017
  ident: 10.1016/j.foodqual.2018.09.007_b0035
  article-title: A focus group approach to understanding food-related emotions with children using words and emojis
  publication-title: Journal of Sensory Studies
  doi: 10.1111/joss.12264
SSID ssj0017012
Score 2.405535
Snippet •Product-specific emoji list based upon literature and consumer input.•Emoji measurements provide additional information beyond liking.•Product-specific emoji...
There is a growing interest in the emotional associations of children to food products in order to better understand their preferences. Recently, emoji were...
SourceID proquest
crossref
elsevier
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 86
SubjectTerms Biscuit
biscuits
Check-all-that-apply (CATA)
Child
children
correspondence analysis
Emoji
Hedonic
variance
Title Comparing a standardized to a product-specific emoji list for evaluating food products by children
URI https://dx.doi.org/10.1016/j.foodqual.2018.09.007
https://www.proquest.com/docview/2189541994
Volume 72
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LS8NAEB60vXgRn1gfZQXxFps0m6R7lGqpir1oobdlX5GUmhSNBz34251NsqIiePCWLDthmdnMfMnOfANwgkFao0fUng7w24TqvvQk7h1PilT4OqE6rnoR3E7i8ZRez6LZCgxdLYxNq2x8f-3TK2_djPQabfaWWda7Q3DghxitcFNaXvDZKrT7IYujFrTPr27Gk8_DhMSvDj3tfM8KfCkUnp-lRaFt_aLN8hpUlKe2s-zvMeqHt65C0GgD1hvsSM7r5W3Cism3oHORmZKckobgc0Emjl9_G-Sw7jKYPxBB3E-D7M1oUhY4sqzZXj1bbWkzhoh5LOYZWaDlCWJZ4pjAUdyu381_JvKVuCLwHZiOLu-HY69pquCpkEalR4VQgUQ7GJ8mmlnApAJG8ToIlIzEQPdVKBHkSYye0rbvS1Q8EH1j_FQkLA13oZUXudkD4qfGGGpoXJHy62hgEHuFUhqRKK0i1oHIqZGrhnHcNr5YcJdaNudO_dyqn_uMo_o70PuUW9acG39KMGcl_m33cAwMf8oeO7NyfLXseYnITfHyzBH9sIha8uT9fzz_ANbwjtV5a4fQKp9ezBECmVJ2YfXsPeg22_UDqUr15g
linkProvider Elsevier
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LT8MwDLbGdoAL4inGM0iIW1m7put6nAbTxsYuDGm3KK-iTqOdoBzg1-O0DQKExIFblcZVZaf2l8b-DHCBQVqhR1SO8nBvQlVbOALXjiN4zF0VUtUpehHcTTvDB3o7D-Y16NtaGJNWWfn-0qcX3roaaVXabK2SpHWP4MD1MVrhojS84PM1aNAAd3t1aPRG4-H08zAhdItDTzPfMQJfCoUXV3GWKVO_aLK8ugXlqeks-3uM-uGtixA02ILNCjuSXvl621DT6Q40rxOdk0tSEXwuydTy6--C6JddBtNHwon9aZC8a0XyDEdWJdurY6otTcYQ0U_ZIiFLtDxBLEssEziKm_e381-IeCO2CHwPHgY3s_7QqZoqONKnQe5QzqUn0A7apaGKDGCSXkTx2vOkCHhXtaUvEOQJjJ7CtO8LZafL21q7MQ-j2N-Hepql-gCIG2utqaadgpRfBV2N2MsXQvNQKhlETQisGpmsGMdN44sls6llC2bVz4z6mRsxVH8TWp9yq5Jz40-JyFqJfVs9DAPDn7Ln1qwMPy1zXsJTnb2-MEQ_UUANefLhP55_BuvD2d2ETUbT8RFs4J2ozGE7hnr-_KpPENTk4rRatB-OGffV
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Comparing+a+standardized+to+a+product-specific+emoji+list+for+evaluating+food+products+by+children&rft.jtitle=Food+quality+and+preference&rft.au=Schouteten%2C+Joachim+J.&rft.au=Verwaeren%2C+Jan&rft.au=Gellynck%2C+Xavier&rft.au=Almli%2C+Val%C3%A9rie+L.&rft.date=2019-03-01&rft.pub=Elsevier+Ltd&rft.issn=0950-3293&rft.eissn=1873-6343&rft.volume=72&rft.spage=86&rft.epage=97&rft_id=info:doi/10.1016%2Fj.foodqual.2018.09.007&rft.externalDocID=S095032931830452X
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0950-3293&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0950-3293&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0950-3293&client=summon