Do food cinemagraphs evoke stronger appetitive responses than stills? | Intellect Skip to content
1981
Volume 4, Issue 1
  • ISSN: 2056-6522
  • E-ISSN: 2056-6530

Abstract

Viewing images of food triggers the desire to eat and this effect increases when images represent food in a more vivid way. Cinemagraphs are a new medium that is intermediate between photographs and videos: most of the frame is static, while some details are animated in a seamless loop, resulting in a vivid viewing experience. On social media cinemagraphs are increasingly used for food-related communication. Given their vivid appearance we hypothesized that food cinemagraphs may evoke stronger appetitive responses than their static counterparts (stills). This would make them a promising medium for food advertisements on the Internet or on digital menu boards. In this study we measured the ‘wanting’ (appetitive) and ‘liking’ (affective) responses to both cinemagraph and stills representing a wide range of different food products. Our results show that food cinemagraphs slightly increase ‘wanting’ scores while not affecting ‘liking’ scores, compared to similar stills. Although we found no overall main effect of image dynamics on ‘liking’, we did observe a significant effect for some individual food items. The effects of image dynamics on ‘wanting’ and ‘liking’ appear to be product specific: while dynamic images were scored higher on ‘wanting’ or ‘liking’ for some products, static images were scored higher on these factors for other products. Observer responses to a free association task indicate that image dynamics can affect the appeal of a food product in two ways: by emphasizing its hedonic qualities (lusciousness, freshness) and by enhancing the observers’ awareness of their own core affect (‘liking’) for the product. We conclude that the effective use of cinemagraphs in food advertisements therefore requires a careful consideration of the characteristics (hedonic aspects) of the food product that are to be highlighted through image motion and the inherent preferences (core liking) of the target group.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. The CC BY licence permits commercial and non-commerical reuse.
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2019-04-01
2024-04-19
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References

  1. Abbar, S.,, Mejova, Y., and Weber, I.. ( 2015;), ‘ You tweet what you eat: Studying food consumption through Twitter. ’, in B. Begole,, J. Kim,, K. Inkpen, and W. Woo. (eds), 33rd Annual ACM Conference on Human Factors in Computing Systems, Seoul, Republic of Korea, 18–23 April, New York:: ACM;, pp. 3197206.
    [Google Scholar]
  2. Bai, J.,, Agarwala, A.,, Agrawala, M., and Ramamoorthi, R.. ( 2012;), ‘ Selectively de-animating video. ’, ACM Transactions on Graphics, 31:4, pp. 110.
    [Google Scholar]
  3. Beldona, S.,, Buchanan, N., and Miller, B. L.. ( 2014;), ‘ Exploring the promise of e-tablet restaurant menus. ’, International Journal of Contemporary Hospitality Management, 26:3, pp. 36782.
    [Google Scholar]
  4. Berridge, K. C.. ( 2009;), ‘ Wanting and liking: Observations from the neuroscience and psychology laboratory. ’, Inquiry, 52:4, pp. 37898.
    [Google Scholar]
  5. Berridge, K. C., and Kringelbach, M. L.. ( 2015;), ‘ Pleasure systems in the brain. ’, Neuron, 86:3, pp. 64664.
    [Google Scholar]
  6. Burger, K. S.,, Cornier, M. A.,, Ingebrigtsen, J., and Johnson, S. L.. ( 2011;), ‘ Assessing food appeal and desire to eat: The effects of portion size & energy density. ’, The International Journal of Behavioral Nutrition and Physical Activity, 8:1, p. 101.
    [Google Scholar]
  7. Castro, D. C., and Berridge, K. C.. ( 2014;), ‘ Advances in the neurobiological bases for food “liking” versus “wanting”. ’, Physiology & Behavior, 136:1, pp. 2230.
    [Google Scholar]
  8. Choi, Y. K., and Taylor, C. R.. ( 2014;), ‘ How do 3-dimensional images promote products on the Internet?. ’, Journal of Business Research, 67:10, pp. 216470.
    [Google Scholar]
  9. Churchill, A., and Behan, J.. ( 2010;), ‘ Comparison of methods used to study consumer emotions associated with fragrance. ’, Food Quality and Preference, 21:8, pp. 110813.
    [Google Scholar]
  10. Cian, L.,, Krishna, A., and Elder, R. S.. ( 2014;), ‘ This logo moves me: Dynamic imagery from static images. ’, Journal of Marketing Research, 51:2, pp. 18497.
    [Google Scholar]
  11. Cian, L.,, Krishna, A., and Elder, R. S.. ( 2015;), ‘ A sign of things to come: Behavioral change through dynamic iconography. ’, Journal of Consumer Research, 41:6, pp. 142646.
    [Google Scholar]
  12. Daft, R. L., and Lengel, R. H.. ( 1986;), ‘ Organizational information requirements, media richness and structural design. ’, Management Science, 32:5, pp. 55471.
    [Google Scholar]
  13. Detenber, B. H., and Reeves, B.. ( 1996;), ‘ A bio-informational theory of emotion: Motion and image size effects on viewers. ’, Journal of Communication, 46:3, pp. 6684.
    [Google Scholar]
  14. Detenber, B. H.,, Simons, R. F., and Bennett, G. G.. ( 1998;), ‘ Roll ‘em!: The effects of picture motion on emotional responses. ’, Journal of Broadcasting & Electronic Media, 42:1, pp. 11328.
    [Google Scholar]
  15. Dorado, R.,, Chaya, C.,, Tarrega, A., and Hort, J.. ( 2016;), ‘ The impact of using a written scenario when measuring emotional response to beer. ’, Food Quality and Preference, 50:1, pp. 3847.
    [Google Scholar]
  16. Finlayson, G.,, King, N., and Blundell, J. E.. ( 2007;), ‘ Is it possible to dissociate “liking” and “wanting” for foods in humans? A novel experimental procedure. ’, Physiology & Behavior, 90:1, pp. 3642.
    [Google Scholar]
  17. Gvili, Y.,, Tal, A.,, Amar, M.,, Hallak, Y.,, Wansink, B.,, Giblin, M., and Bommelaer, C.. ( 2015;), ‘ Fresh from the tree: Implied motion improves food evaluation. ’, Food Quality and Preference, 46:1, pp. 16065.
    [Google Scholar]
  18. Gvili, Y.,, Tal, A.,, Amar, M., and Wansink, B.. ( 2017;), ‘ Moving up in taste: Enhanced projected taste and freshness of moving food products. ’, Psychology & Marketing, 34:7, pp. 67183.
    [Google Scholar]
  19. Joshi, N.,, Mehta, S.,, Drucker, S.,, Stollnitz, E.,, Hoppe, H.,, Uyttendaele, M., and Cohen, M.. ( 2012;), ‘ Cliplets: Juxtaposing still and dynamic imagery. ’, in R. Miller,, H. Benko, and C. Latulipe. (eds), 25th Annual ACM Symposium on User Interface Software and Technology, Cambridge, MA, 7–10 October, New York:: ACM;, pp. 25160.
    [Google Scholar]
  20. Kerrebroeck, H. Van,, Brengman, M., and Willems, K.. ( 2017;), ‘ When brands come to life: Experimental research on the vividness effect of Virtual Reality in transformational marketing communications. ’, Virtual Reality, 21:4, pp. 17791.
    [Google Scholar]
  21. Köster, E. P., and Mojet, J.. ( 2015;), ‘ From mood to food and from food to mood: A psychological perspective on the measurement of food-related emotions in consumer research. ’, Food Research International, 76:2, pp. 18091.
    [Google Scholar]
  22. Larsen, R. J.,, Billings, D.W., and Cutler, S. E.. ( 1996;), ‘ Affect intensity and individual differences in informational style. ’, Journal of Personality, 64:1, pp. 185207.
    [Google Scholar]
  23. Larson, J. S.,, Redden, J. P., and Elder, R. S.. ( 2014;), ‘ Satiation from sensory simulation: Evaluating foods decreases enjoyment of similar foods. ’, Journal of Consumer Psychology, 24:2, pp. 18894.
    [Google Scholar]
  24. Liao, J.,, Finch, M., and Hoppe, H.. ( 2015;), ‘ Fast computation of seamless video loops. ’, ACM Trans. Graph., 34:6, pp. 110.
    [Google Scholar]
  25. Lyubomirsky, S., and Lepper, H. S.. ( 1999;), ‘ A measure of subjective happiness: Preliminary reliability and construct validation. ’, Social Indicators Research, 46:2, pp. 13755.
    [Google Scholar]
  26. Mejova, Y.,, Abbar, S., and Haddadi, H.. ( 2016;), ‘ Fetishizing food in digital age: #foodporn around the world. ’, in K. P. Gummadi, and M. Strohmaier. (eds), 10th International AAAI Conference on Web and Social Media (ICWSM-16), Cologne, Germany, 17–20 May, AAAI, pp. 25058.
    [Google Scholar]
  27. Moore, D. J., and Konrath, S.. ( 2015;), ‘ “I can almost taste it”: Why people with strong positive emotions experience higher levels of food craving, salivation and eating intentions. ’, Journal of Consumer Psychology, 25:1, pp. 4259.
    [Google Scholar]
  28. Naragon, K., and Watson, D.. ( 2009;), ‘ Positive affectivity. ’, in S. Lopez. (ed.), The Encyclopedia of Positive Psychology, Hoboken, NJ:: Wiley-Blackwell;, pp. 70711.
    [Google Scholar]
  29. Otake, K., and Kato, K.. ( 2016;), ‘ Subjective happiness and emotional responsiveness to food stimuli. ’, Journal of Happiness Studies, 18:3, pp. 691708.
    [Google Scholar]
  30. Pallavicini, F.,, Serino, S.,, Cipresso, P.,, Pedroli, E.,, Chicchi Giglioli, I. A.,, Chirico, A.,, Manzoni, G. M.,, Castelnuovo, G.,, Molinari, E., and Riva, G.. ( 2016;), ‘ Testing augmented reality for cue exposure in obese patients: An exploratory study. ’, Cyberpsychology, Behavior and Social Networking, 19:2, pp. 10714.
    [Google Scholar]
  31. Pang, B., and Lee, L.. ( 2008;), ‘ Opinion mining and sentiment analysis. ’, Foundations and Trends in Information Retrieval, 2:1&2, pp. 1135.
    [Google Scholar]
  32. Park, J. S.,, Bae, J. H., and Cho, K. S.. ( 2014;), ‘ The effect of non-verbal communication using cinemagraph in mobile electronic commerce of agrifood on visual attention and purchase intention. ’, Agribusiness and Information Management, 6:2, pp. 2431.
    [Google Scholar]
  33. Park, J. S.,, Bae, J. H., and Cho, K. S.. ( 2015;), ‘ Emotional responses to e-magazine published with cinemagraph images. ’, Agribusiness and Information Management, 7:1, pp. 1020.
    [Google Scholar]
  34. Park, J. S.,, Kang, M., and Cho, K.. ( 2016;), ‘ The impact of cinemagraph of CG style on visual attention and purchase intentions at the detailed product page of e-commerce website: An eye-tracking research approach. ’, Journal of Knowledge Information Technology and Systems (JKITS), 11:4, pp. 40312.
    [Google Scholar]
  35. Park, J. S.,, Park, W., and Rhee, C.. ( 2013;), ‘ Perceived vividness and consumers’ perception in e-commercial websites. ’, in R. Baskerville, and M. Chau. (eds), Thirty Fourth International Conference on Information Systems (ICIS), Milan, Italy, 15–18 December, Association for Information Systems (AIS);, pp. 18.
    [Google Scholar]
  36. Park, J.,, Stoel, L., and Lennon, S. J.. ( 2008;), ‘ Cognitive, affective and conative responses to visual simulation: The effects of rotation in online product presentation. ’, Journal of Consumer Behaviour, 7:1, pp. 7287.
    [Google Scholar]
  37. Peters, A., and Mennecke, B.. ( 2011;), ‘ The role of dynamic digital menu boards in consumer decision making. ’, in D. Tan,, B. Begole, and W. A. Kellogg. (eds), CHI ‘11 Extended Abstracts on Human Factors in Computing Systems, Vancouver, BC, Canada, 7–12 May, ACM, pp. 169398.
    [Google Scholar]
  38. Roggeveen, A. L.,, Grewal, D.,, Townsend, C., and Krishnan, R.. ( 2015;), ‘ The impact of dynamic presentation format on consumer preferences for hedonic products and services. ’, Journal of Marketing, 79:6, pp. 3449.
    [Google Scholar]
  39. Schüssler, P.,, Kluge, M.,, Yassouridis, A.,, Dresler, M.,, Uhr, M., and Steiger, A.. ( 2012;), ‘ Ghrelin levels increase after pictures showing food. ’, Obesity, 20:6, pp. 121217.
    [Google Scholar]
  40. Shiv, B., and Huber, J.. ( 2000;), ‘ The impact of anticipating satisfaction on consumer choice. ’, Journal of Consumer Research, 27:2, pp. 20216.
    [Google Scholar]
  41. Simons, R. F.,, Detenber, B. H.,, Reiss, J. E., and Shults, C. W.. ( 2000;), ‘ Image motion and context: A between- and within-subjects comparison. ’, Psychophysiology, 37:5, pp. 70610.
    [Google Scholar]
  42. Simons, R. F.,, Detenber, B. H.,, Roedema, T. M., and Reiss, J. E.. ( 1999;), ‘ Emotion processing in three systems: The medium and the message. ’, Psychophysiology, 36:5, pp. 61927.
    [Google Scholar]
  43. Spence, C.. ( 2011;), ‘ Mouth-watering: The influence of environmental and cognitive factors on salivation and gustatory/flavor perception. ’, Journal of Texture Studies, 42:2, pp. 15771.
    [Google Scholar]
  44. Spence, C.,, Okajima, K.,, Cheok, A. D.,, Petit, O., and Michel, C.. ( 2015;), ‘ Eating with our eyes: From visual hunger to digital satiation. ’, Brain and Cognition, 110:1, pp. 5363.
    [Google Scholar]
  45. Steuer, J.. ( 1992;), ‘ Defining virtual reality: Dimensions determining telepresence. ’, Journal of Communication, 42:4, pp. 7393.
    [Google Scholar]
  46. Tompkin, J.,, Pece, F.,, Subr, K., and Kautz, J.. ( 2011;), ‘ Towards moment imagery: Automatic cinemagraphs. ’, in O. Grau. (ed.), 2011 Conference for Visual Media Production, IEEE Computer Society, London, UK, 16–17 November, pp. 8793.
    [Google Scholar]
  47. Turner, J.. ( 2015;), ‘ Mouthwatering food – In motion. ’, Proof, 1 June, http://proof.nationalgeographic.com/2015/06/01/mouthwatering-food-in-motion. Accessed 19 December 2018.
    [Google Scholar]
  48. Venkatraman, V.,, Dimoka, A.,, Pavlou, P. A.,, Vo, K.,, Hampton, W.,, Bollinger, B.,, Hershfield, H. E.,, Ishihara, M., and Winer, R. S.. ( 2015;), ‘ Predicting advertising success beyond traditional measures: New insights from neurophysiological methods and market response modeling. ’, Journal of Marketing Research, 52:4, pp. 43652.
    [Google Scholar]
  49. Verhagen, T.,, Vonkeman, C., and van Dolen, W.. ( 2016;), ‘ Making online products more tangible: The effect of product presentation formats on product evaluations. ’, Cyberpsychology, Behavior and Social Networking, 19:7, pp. 46064.
    [Google Scholar]
  50. Wilson, T. D.,, Lisle, D. J.,, Schooler, J. W.,, Hodges, S. D.,, Klaaren, K. J., and LaFleur, S. J.. ( 1993;), ‘ Introspecting about reasons can reduce post-choice satisfaction. ’, Personality and Social Psychology Bulletin, 19:3, pp. 33139.
    [Google Scholar]
  51. Winkielman, P.,, Berridge, K. C., and Sher, S.. ( 2011;), ‘ Emotion, consciousness and social behavior. ’, in P. Winkielman,, K. C. Berridge, and S. Sher. (eds), The Oxford Handbook of Social Neuroscience, New York:: Oxford University Press;, pp. 195211.
    [Google Scholar]
  52. World Medical Association ( 2013;), ‘ World Medical Association declaration of Helsinki: Ethical principles for medical research involving human subjects. ’, Journal of the American Medical Association, 310:20, pp. 219194.
    [Google Scholar]
  53. Toet, A.,, van Schaik, M. G.,, Kaneko, D., and van Erp, J. B. F.. ( 2019;), ‘ Do food cinemagraphs evoke stronger appetitive responses than stills?. ’, International Journal of Food Design, 4:1, pp. 6383, doi: 10.1386/ijfd.4.1.63_1
    [Google Scholar]
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  • Article Type: Article
Keyword(s): affect; appetite; cinemagraphs; food; liking; wanting
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