Emoji for Food and Beverage Research: Pleasure, Arousal and Dominance Meanings and Appropriateness for Use
Abstract
:1. Introduction
1.1. Emoji in Food-Related Consumer Research
1.2. Dimensional Meanings of Emoji: Pleasure, Arousal and Dominance
1.3. Research Aims and Contributions
2. Materials and Methods
2.1. Participants
2.2. Brief Overview of Empirical Approach
2.3. Emoji Selection and Evaluation
2.3.1. Emoji
,
,
). Facial emoji were used primarily, but where a greater range in one or more of the PAD dimensions were expected by the inclusion of non-facial emoji, these were selected (42%). Inclusion of non-facial emotion was warranted since some of the most-used emoji on Twitter are non-facial (https://emojitracker.com/, (accessed on 1 April 2021)), and some have obvious links to emotional affect (e.g., red heart (
), thumbs up sign (
) and thumbs down sign (
)) [29]. Moreover, some previous studies excluded non-facial emoji [22], so less is known about their meaning.2.3.2. PAD Scale
2.3.3. Emoji Specific Use and Suitability for F&B Occasions
2.3.4. General Emoji Use and Attitudes
,
,
)’, ‘I like to use many different emoji, of all kinds’, ‘I consider myself to be emoji savvy and literate’, ‘Emoji are fun to use and receive’, and ‘In computer-mediated communications, emoji help me to better express myself’.2.4. Data Collection Procedures
2.5. Data Analysis
3. Results
3.1. Emoji Characterisation on PAD Variables
), face savouring food (
), smiling face with sunglasses (
), face with tongue (
) and pouting face (
), face vomiting (
), persevering face (
), nauseated face (
), face with steam from nose (
). For the deactivated pole of the Arousal dimension, the top-5 ranked emoji were also identical (yawning face (
), sleeping face (
), zzz (
), person in lotus position (
) and expressionless face (
)), as were three of the top-5 ranked emoji for the activated pole of Arousal (party popper (
), collision (
), face with tongue (
)). For Dominance, agreement between the two studies was also very high: persevering face (
), nauseated face (
), flushed face (
), yawning face (
) and sleeping face (
) for the most submissive emoji, and collision (
), flexed biceps (
), oncoming fist (
) and party popper (
) as high in dominance. On this dimension, the largest discrepancy between the two studies was seen for smiling face with sunglasses (
). Finally, Figure 2 drew attention to differences in meaning across the 24 emoji, with some being perceived as similar with regard to Pleasure, yet different on Arousal (e.g., face with steam from nose (
) and yawning face (
)), or how emoji perceived similar with regard to Dominance would be associated with the different poles of the Arousal dimension (e.g., face screaming in fear (
) and sleeping face (
)).
), face savouring food (
) and smiling face with sunglasses (
)) from those perceived negatively, for example, face vomiting (
), pouting face (
) and face with steam from nose (
) (Figure 3, bottom). The Arousal dimension was located approximately perpendicular to the Pleasure dimension and spanned from the 3rd quadrant (lower right) to the 1st quadrant (upper left) separating emoji perceived as high in arousal (e.g., oncoming fist (
), flexed biceps (
) and collision (
)) from those perceived as low in arousal (e.g., yawning face (
), zzz (
) and sleeping face (
)). The Dominance dimension ran along PC1 (Figure 3, top) separating high dominance emoji such as oncoming fist (
) and flexed biceps (
) from low dominance (i.e., submissive) emoji-like flushed face (
) and persevering face (
) (Figure 3, bottom). Part 7 of Supplementary Materials contains the spaces for variables and observations spanned by PC2 and PC3, where the separation of emoji along the continuum from arousal to nonarousal was clearly seen. The RV coefficients calculated on three dimensions exceeded 0.95 [32] and confirmed the high degree of similarity in Study 1 and Study 2 results: emoji (0.956) and PAD variables (0.974).3.2. Emoji Appropriateness and Use
), face savouring food (
), party popper (
), beating heart (
) and smiling face with sunglasses (
)), and significantly more than a group of eight emoji (persevering face (
), exploding head (
), warning (
), collision (
), flexed biceps (
), yawning face (
) and person in lotus position (
)). The average frequency of use for emoji in the former group was between the scale anchors ‘sometimes (not all the time, but neither rarely, 35–65%)’ and ‘infrequently (generally not, but on occasion, 10–35%)’ while the least used emoji, on average, were more likely to be used ‘never or very infrequently (<10%)’. Correlation analysis on the values in Table 2 showed that the emoji-specific use frequencies were statistically associated with perceived appropriateness for use in situations relating to F&Bs or eating and drinking, and as one increased so did the other (r = 0.50 and 0.56, respectively; p < 0.015).
), clapping hands (
) and party popper (
) were in the top-5 for both studies, as was a strong negative expression linked to rejection (Study 1: face vomiting (
); Study 2: nauseated face (
)). The same two emoji were regarded as least appropriate in both studies: zzz (
) and oncoming fist (
).
), flexed biceps (
) and person in lotus position (
) would be regarded as appropriate in Study 1 but not Study 2 (100%, 82% and 82% vs. 42%, 39% and 25%). Among the 24 emoji included in the research, only four did not exceed the 50% criterion in Study 1 (exploding head (
), oncoming fist (
), yawning face (
) and zzz (
)); while only seven emoji exceeded the 50% criterion in Study 2 (face savoring food (
), nauseated face (
), clapping hands (
), party popper (
), beating heart (
), face with tongue (
) and smiling face with sunglasses (
)). This systematic difference between the two studies also extended to the responses about the previous use of the focal emoji for F&Bs or situations relating to eating and drinking. In Study 2, stated use linked to F&Bs or eating and drinking situations was above 33% for two emoji only face savouring food (
) and nauseated face (
). In Study 1, 10 of the 24 emoji exceeded this criterion.4. Discussion
4.1. Emoji Meanings
), face savouring food (
), sleeping face (
) and collision (
)). Moreover, the positions of emoji in the space spanned by the first two components following PCA of the 19 PAD variables (Figure 3) were in line with prior research suggesting that emoji can span the valence × arousal configuration [9]. Their ability to do so is directly linked to their selection, and in this regard, emoji do not differ from emotion words. For example, the EsSense Profile™ [36] is dominated by words with positive valence and limited variation in arousal and as a result it poorly spans the full valence × arousal space [37].
) and flexed biceps (
) as representatives of high dominance, and flushed face (
) and person shrugging (
) as representatives of submission.
,
,
). Early research with emoji tended to focus on facial emoji because facial expressions are critical to understanding essential human emotions in face-to-face communication [38]. However, the finding that certain non-facial emoji contributed nuance in the expression of pleasure/positive valence (Figure 3, Part 5 of Supplementary Material) was interesting and suggested that they may contribute to a more complete representation of the core dimensions of human affect [22]. Prior research has found out that certain non-facial emoji are frequently used by consumers to describe their emotions in a food consumption context and have a high discriminative ability [10,39]. We recommend that non-facial be considered for inclusion in research, especially where it concerns F&B products or situations that vary in degree of positive valence. The results from the general emoji attitudes (Table 3) support this in the sense that there did not appear to be a strong preference for facial emoji.
) and nauseated face (
), had about the same average scores on the PAD dimensions (Part 6 of Supplementary Material), with a high degree of displeasure, medium arousal, and high dominance. Yet, they mean different things, and this was not adequately captured. Therefore, emoji meanings on PAD dimensions should not be regarded as stand-alone as they are not comprehensive. However, as shown by Jaeger, Roigard et al. [22] combining SAM and textual descriptions to explore the meanings of facial emoji is useful, and neither is complete without the other.4.2. Emoji Appropriateness for Use in Research Linked to F&Bs and Eating/Drinking
and
would be appropriate, development of spicy-hot cooking sauces where
would be appropriate or that
could have relevance in describing tranquil situations such as sitting in the back garden with a glass of wine enjoying the sunset. Other examples include the consumption of insects or gene-edited foods, where certain emoji become relevant even though they would not be regarded as appropriate in the context of typical eating situations.4.3. Limitations and Suggestions for Future Research
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Lagast, S.; Gellynck, X.; Schouteten, J.J.; De Herdt, V.; De Steur, H. Consumers’ emotions elicited by food: A systematic review of explicit and implicit methods. Trends Food Sci. Technol. 2017, 69, 172–189. [Google Scholar] [CrossRef]
- Meiselman, H.L. The (gradual) development of emotion measurement for food. Curr. Opin. Food Sci. 2021, 40, 187–191. [Google Scholar] [CrossRef]
- Cardello, A.V.; Jaeger, S.R. Questionnaires should be the default method in food-related emotion research. Food Qual. Prefer. 2021, 92, 104180. [Google Scholar] [CrossRef]
- Jaeger, S.R.; Vidal, L.; Ares, G. Should emoji replace emotion words in questionnaire-based food-related consumer research? Food Qual. Prefer. 2021, 92, 104121. [Google Scholar] [CrossRef]
- Riordan, M.A. Emojis as tools for emotion work: Communicating affect in text messages. J. Lang. Soc. Psychol. 2017, 36, 549–567. [Google Scholar] [CrossRef]
- Bai, Q.; Dan, Q.; Mu, Z.; Yang, M. A systematic review of emoji: Current research and future perspectives. Front. Psychol. 2019, 10, 2221. [Google Scholar] [CrossRef] [Green Version]
- Jaeger, S.R.; Cardello, A.V.; Schutz, H.G. Emotion questionnaires: A consumer-centric perspective. Food Qual. Prefer. 2013, 30, 229–241. [Google Scholar] [CrossRef]
- Sick, J.; Monteleone, E.; Pierguidi, L.; Ares, G.; Spinelli, S. The Meaning of Emoji to Describe Food Experiences in Pre-Adolescents. Foods 2020, 9, 1307. [Google Scholar] [CrossRef]
- Ares, G.; Jaeger, S.R. 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. 2017, 99, 216–228. [Google Scholar] [CrossRef]
- Jaeger, S.R.; Lee, S.M.; Kim, K.O.; Chheang, S.L.; Jin, D.; Ares, G. Measurement of product emotions using emoji surveys: Case studies with tasted foods and beverages. Food Qual. Prefer. 2017, 62, 46–59. [Google Scholar] [CrossRef]
- Gallo, K.E.; Swaney-Stueve, M.; Chambers, D.H. A focus group approach to understanding food-related emotions with children using words and emojis. J. Sens. Stud. 2017, 32, e12264. [Google Scholar] [CrossRef]
- Schouteten, J.J.; Verwaeren, J.; Lagast, S.; Gellynck, X.; De Steur, H. Emoji as a tool for measuring children’s emotions when tasting food. Food Qual. Prefer. 2018, 68, 322–331. [Google Scholar] [CrossRef]
- Schouteten, J.J.; Meiselman, H.L. The potential of using emoji instead of words when measuring emotions associated with food. Food Qual. Prefer. 2021, 92, 104182. [Google Scholar] [CrossRef]
- Miller, H.; Kluver, D.; Thebault-Spieker, J.; Terveen, L.; Hecht, B. Understanding emoji ambiguity in context: The role of text in emoji-related miscommunication. In Proceedings of the International AAAI Conference on Web and Social Media, Montreal, QC, Canada, 15–18 May 2017. [Google Scholar]
- Jaeger, S.R.; Xia, Y.; Lee, P.Y.; Hunter, D.C.; Beresford, M.K.; Ares, G. Emoji questionnaires can be used with a range of population segments: Findings relating to age, gender and frequency of emoji/emoticon use. Food Qual. Prefer. 2018, 68, 397–410. [Google Scholar] [CrossRef]
- Barbieri, F.; Kruszewski, G.; Ronzano, F.; Saggion, H. How cosmopolitan are emojis? Exploring emojis usage and meaning over different languages with distributional semantics. In Proceedings of the 24th ACM international conference on Multimedia, Amsterdam, The Netherlands, 15–19 October 2016. [Google Scholar]
- Bakker, I.; Kruszewski, G.; Ronzano, F.; Saggion, H. Pleasure, arousal, dominance: Mehrabian and Russell revisited. Curr. Psychol. 2014, 33, 405–421. [Google Scholar] [CrossRef]
- Prescott, J. Some considerations in the measurement of emotions in sensory and consumer research. Food Qual. Prefer. 2017, 62, 360–368. [Google Scholar] [CrossRef]
- King, S.C.; Meiselman, H.L. Development of a method to measure consumer emotions associated with foods. Food Qual. Prefer. 2010, 21, 168–177. [Google Scholar] [CrossRef]
- Jaeger, S.R.; Roigard, C.M.; Jin, D.; Xia, Y.; Zhong, F.; Hedderley, D.I. A single-response emotion word questionnaire for measuring product-related emotional associations inspired by a circumplex model of core affect: Method characterisation with an applied focus. Food Qual. Prefer. 2020, 83, 103805. [Google Scholar] [CrossRef]
- Bradley, M.M.; Lang, P.J. Measuring emotion: The self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry 1994, 25, 49–59. [Google Scholar] [CrossRef]
- Jaeger, S.R.; Roigard, C.M.; Jin, D.; Vidal, L.; Ares, G. Valence, arousal and sentiment meanings of 33 facial emoji: Insights for the use of emoji in consumer research. Food Res. Int. 2019, 119, 895–907. [Google Scholar] [CrossRef]
- Jaeger, S.R.; Vidal, L.; Ares, G. Consumer product emotion research using emoji. In Emotion Measurement; Elsevier: Amsterdam, The Netherlands, 2021; pp. 535–558. [Google Scholar]
- Scherer, K.R.; Shuman, V.; Fontaine, J.; Soriano Salinas, C. The GRID meets the Wheel: Assessing emotional feeling via self-report. In Components of Emotional Meaning: A Sourcebook; Fontaine, J.R.J., Scherer, K.R., Soriano, C., Eds.; Oxford University Press: Oxford, UK, 2013; pp. 281–298. [Google Scholar]
- Mehrabian, A.; Russell, J.A. An Approach to Environmental Psychology; The MIT Press: Cambridge, MA, USA, 1974. [Google Scholar]
- Jang, H.-W.; Lee, S.-B. Applying effective sensory marketing to sustainable coffee shop business management. Sustainability 2019, 11, 6430. [Google Scholar] [CrossRef] [Green Version]
- Jang, S.S.; Liu, Y.; Namkung, Y. Effects of authentic atmospherics in ethnic restaurants: Investigating Chinese restaurants. Int. J. Contemp. Hosp. Manag. 2011, 23, 662–680. [Google Scholar] [CrossRef]
- Vidal, L.; Ares, G.; Jaeger, S.R. Use of emoticon and emoji in tweets for food-related emotional expression. Food Qual. Prefer. 2016, 49, 119–128. [Google Scholar] [CrossRef]
- Jaeger, S.R.; Ares, G. Dominant meanings of facial emoji: Insights from Chinese consumers and comparison with meanings from internet resources. Food Qual. Prefer. 2017, 62 (Suppl. C), 275–283. [Google Scholar] [CrossRef]
- Detandt, S.; Leys, C.; Bazan, A. A French translation of the pleasure arousal dominance (PAD) semantic differential scale for the measure of affect and drive. Psychol. Belg. 2017, 57, 17. [Google Scholar] [CrossRef]
- Addinsoft. XLSTAT Statistical and Data Analysis Solution; Addinsoft: Long Island, NY, USA, 2020. [Google Scholar]
- Blancher, G.; Clavier, B.; Egoroff, C.; Duineveld, K.; Parcon, J. A method to investigate the stability of a sorting map. Food Qual. Prefer. 2012, 23, 36–43. [Google Scholar] [CrossRef]
- Jaeger, S.R.; Roigard, C.M.; Chheang, S.L. The valence× arousal circumplex-inspired emotion questionnaire (CEQ): Effect of response format and question layout. Food Qual. Prefer. 2021, 90, 104172. [Google Scholar] [CrossRef]
- Tang, Y.; Hew, K.F. Emoticon, emoji, and sticker use in computer-mediated communication: A review of theories and research findings. Int. J. Commun. 2019, 13, 27. [Google Scholar]
- Jaeger, S.R.; Jin, D.; Hunter, D.C.; Roigard, C.M.; Hedderley, D.I. Multi-response approaches in product-focused investigations: Methodological variations across three case studies. Food Res. Int. 2020, 132, 109113. [Google Scholar] [CrossRef]
- King, S.C.; Meiselman, H.L.; Carr, B.T. Measuring emotions associated with foods in consumer testing. Food Qual. Prefer. 2010, 21, 1114–1116. [Google Scholar] [CrossRef]
- Jaeger, S.R.; Spinelli, S.; Ares, G.; Monteleone, E. Linking product-elicited emotional associations and sensory perceptions through a circumplex model based on valence and arousal: Five consumer studies. Food Res. Int. 2018, 109, 626–640. [Google Scholar] [CrossRef]
- Cherbonnier, A.; Michinov, N. The recognition of emotions beyond facial expressions: Comparing emoticons specifically designed to convey basic emotions with other modes of expression. Comput. Hum. Behav. 2021, 118, 106689. [Google Scholar] [CrossRef]
- Schouteten, J.J.; Verwaeren, J.; Gellynck, X.; Almli, V.L. Comparing a standardized to a product-specific emoji list for evaluating food products by children. Food Qual. Prefer. 2019, 72, 86–97. [Google Scholar] [CrossRef]
- Silva, L.G.Z.D.; Guimarães, P.D.; de Souza Gomes, L.O.; de Almeida Neris, V.P. A comparative study of users’ subjective feeling collection instruments. In Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems, Diamantina, Brazil, 26–30 October 2020. [Google Scholar]
- Miller, H.J.; Thebault-Spieker, J.; Chang, S.; Johnson, I.; Terveen, L.; Hecht, B. “Blissfully Happy” or “Ready toFight”: Varying Interpretations of Emoji. In Proceedings of the Tenth international AAAI Conference on Web and Social Media, Cologne, Germany, 17–20 May 2016. [Google Scholar]
- Prada, M.; Rodrigues, D.L.; Garrido, M.V.; Lopes, D.; Cavalheiro, B.; Gaspar, R. Motives, frequency and attitudes toward emoji and emoticon use. Telemat. Inform. 2018, 35, 1925–1934. [Google Scholar] [CrossRef]
- Ljubešić, N.; Fišer, D. A global analysis of emoji usage. In Proceedings of the 10th Web as Corpus Workshop, Berlin, Germany, 12 August 2016. [Google Scholar]
- Chik, A.; Vásquez, C. A comparative multimodal analysis of restaurant reviews from two geographical contexts. Vis. Commun. 2017, 16, 3–26. [Google Scholar] [CrossRef]
- Herring, S.C.; Dainas, A.R. Gender and age influences on interpretation of emoji functions. ACM Trans. Soc. Comput. 2020, 3, 1–26. [Google Scholar] [CrossRef]
- Chen, Z.; Lu, X.; Ai, W.; Li, H.; Mei, Q.; Liu, X. Through a gender lens: Learning usage patterns of emojis from large-scale Android users. In Proceedings of the 2018 World Wide Web Conference, Lyon, France, 23–27 April 2018. [Google Scholar]
- Das, G.; Wiener, H.J.; Kareklas, I. To emoji or not to emoji? Examining the influence of emoji on consumer reactions to advertising. J. Bus. Res. 2019, 96, 147–156. [Google Scholar] [CrossRef]
- Casado-Molina, A.M.; Rojas-de Gracia, M.M.; Alarcón-Urbistondo, P.; Romero-Charneco, M. Exploring the opportunities of the emojis in brand communication: The case of the beer industry. Int. J. Bus. Commun. 2019, 2329488419832964. [Google Scholar] [CrossRef]
- Thomson, D.M.H.; Crocker, C.; Marketo, C.G. Linking sensory characteristics to emotions: An example using dark chocolate. Food Qual. Prefer. 2010, 21, 1117–1125. [Google Scholar] [CrossRef]
- Spinelli, S.; Jaeger, S.R. What do we know about the sensory drivers of emotions in foods and beverages? Curr. Opin. Food Sci. 2019, 27, 82–89. [Google Scholar] [CrossRef]



| Dimension | PAD Code | Left Anchor (1) | Right Anchor (9) |
|---|---|---|---|
| Pleasure (Pleasure- Displeasure) | P1 | Happy | Unhappy |
| P2 | Pleased | Annoyed | |
| P3 | Satisfied | Unsatisfied | |
| P4 | Contented | Melancholic | |
| P5 | Hopeful | Despairing | |
| P6 | Amused * | Bored | |
| Arousal (Arousal- Nonarousal) | A1 | Stimulated | Relaxed |
| A2 | Excited | Calm | |
| A3 | Frenzied | Sluggish | |
| A4 | Jittery | Dull | |
| A5 | Wide-awake | Sleepy | |
| A6 | Aroused | Unaroused | |
| Dominance (Dominance- Submissiveness) | D1 | Controlling | Controlled |
| D2 | Influential | Influenced | |
| D3 | In control | Cared for | |
| D4 | Important | Awed | |
| D5 | Dominant | Submissive | |
| D6 | Autonomous | Guided |
| Study 1 (NZ) | Study 2 (UK) | |||||
|---|---|---|---|---|---|---|
| Emoji Name and Image | Avg. Frequency of Using This Emoji * | Emoji Use in F&B or Eating Situation Is Appropriate (%) | Have Used Emoji in F&B or Eating Situation (%) | Emoji Use in F&B or Eating Situation Is Appropriate (%) | Have Used Emoji in F&B or Eating Situation (%) | |
| Beating heart | ![]() | 2.7 ef | 69 | 38 | 56 | 18 |
| Clapping hands | ![]() | 2.3 bcdef | 88 | 33 | 56 | 22 |
| Collision | ![]() | 1.6 abc | 77 | 19 | 42 | 16 |
| Exploding head | ![]() | 1.7 abc | 43 | 7 | 43 | 18 |
| Expressionless face | ![]() | 2.1 abcdef | 60 | 20 | 33 | 13 |
| Face savouring food | ![]() | 2.8 ef | 86 | 49 | 75 | 39 |
| Face screaming in fear | ![]() | 2.3 bcdef | 63 | 35 | 44 | 20 |
| Face vomiting | ![]() | 1.8 abcd | 72 | 49 | 40 | 22 |
| Face with steam from nose | ![]() | 1.7 abc | 43 | 10 | 32 | 11 |
| Face with tongue | ![]() | 2.9 f | 71 | 29 | 55 | 25 |
| Flexed biceps | ![]() | 1.8 abc | 65 | 15 | 39 | 12 |
| Flushed face | ![]() | 2.4 cdef | 63 | 35 | 34 | 18 |
| Nauseated face | ![]() | 2.1 abcdef | 69 | 38 | 60 | 34 |
| Oncoming fist | ![]() | 2.2 abcdef | 38 | 20 | 25 | 14 |
| Party popper | ![]() | 2.7 ef | 78 | 43 | 56 | 26 |
| Persevering face | ![]() | 1.8 abc | 50 | 8 | 31 | 15 |
| Person in lotus position | ![]() | 1.4 a | 49 | 14 | 25 | 7 |
| Person shrugging | ![]() | 2.2 bcdef | 52 | 21 | 33 | 15 |
| Pouting face | ![]() | 2.0 abcde | 48 | 30 | 39 | 12 |
| Sleeping face | ![]() | 2.4 cdef | 50 | 15 | 27 | 9 |
| Smiling face with sunglasses | ![]() | 2.7 def | 73 | 18 | 50 | 25 |
| Warning | ![]() | 1.6 ab | 50 | 10 | 25 | 11 |
| Yawning face | ![]() | 1.8 abc | 48 | 13 | 28 | 12 |
| Zzz | ![]() | 2.1 abcdef | 36 | 7 | 25 | 10 |
| Statement | Study 1 (NZ) | Study 2 (UK) | ||
|---|---|---|---|---|
| M | SD | M | SD | |
| Emoji are fun to use and receive | 5.7 | 1.2 | 5.3 | 1.3 |
| Emoji are more appropriate in private than professional communications | 6.0 | 1.3 | 5.8 | 1.3 |
| I consider myself to be emoji savvy and literate | 4.5 | 1.7 | 4.3 | 1.7 |
| I generally use a small set of emoji over and over again | 6.0 | 1.0 | 5.4 | 1.3 |
| I like to use many different emoji, of all kinds | 4.3 | 1.8 | 4.4 | 1.7 |
| In computer-mediated communications, emoji help me to better express myself | 5.3 | 1.4 | 4.8 | 1.5 |
My favourite emoji are “face emoji” (e.g., , , ) | 5.8 | 1.3 | 5.3 | 1.3 |
| Using emoji helps me to express my moods/emotions | 5.9 | 1.2 | 5.1 | 1.4 |
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Jaeger, S.R.; Jin, D.; Ryan, G.S.; Schouteten, J.J. Emoji for Food and Beverage Research: Pleasure, Arousal and Dominance Meanings and Appropriateness for Use. Foods 2021, 10, 2880. https://doi.org/10.3390/foods10112880
Jaeger SR, Jin D, Ryan GS, Schouteten JJ. Emoji for Food and Beverage Research: Pleasure, Arousal and Dominance Meanings and Appropriateness for Use. Foods. 2021; 10(11):2880. https://doi.org/10.3390/foods10112880
Chicago/Turabian StyleJaeger, Sara R., David Jin, Grace S. Ryan, and Joachim J. Schouteten. 2021. "Emoji for Food and Beverage Research: Pleasure, Arousal and Dominance Meanings and Appropriateness for Use" Foods 10, no. 11: 2880. https://doi.org/10.3390/foods10112880
APA StyleJaeger, S. R., Jin, D., Ryan, G. S., & Schouteten, J. J. (2021). Emoji for Food and Beverage Research: Pleasure, Arousal and Dominance Meanings and Appropriateness for Use. Foods, 10(11), 2880. https://doi.org/10.3390/foods10112880

