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Effect of background noise on food perception
Open accessAbstract
We investigated the effects of auditory background noise on the perception of gustatory food properties (sugar level, salt level), food crunchiness and food liking. Participants blindly consumed different foods whilst passively listening to either no sound, or quiet or loud background white noise. The foods were then rated in terms of sweetness, saltiness and liking (Experiment 1) or in terms of overall flavour, crunchiness and liking (Experiment 2). Reported sweetness and saltiness was significantly lower in the loud compared to the quiet sound conditions (Experiment 1), but crunchiness was reported to be more intense (Experiment 2). This suggests that food properties unrelated to sound (sweetness, saltiness) and those conveyed via auditory channels (crunchiness) are differentially affected by background noise. A relationship between ratings of the liking of background noise and ratings of the liking of the food was also found (Experiment 2). We conclude that background sound unrelated to food diminishes gustatory food properties (saltiness, sweetness) which is suggestive of a cross-modal contrasting or attentional effect, whilst enhancing food crunchiness.
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Cites
Discovering Statistics Using SPSS
Field, A. P., & Miles, J. N. V. (2000) · Medical Entomology and Zoology · Cited by 28,269
Discovering statistics using SPSS, 2nd ed.
Field, A. P. (2005) · Cited by 2,558
(1994) · Choice Reviews Online · doi:10.5860/choice.31-4365 · Cited by 1,897
Using confidence intervals for graphically based data interpretation.
Masson, M. E., & Loftus, G. (2003) · Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale · doi:10.1037/h0087426 · Cited by 819
Odor/taste integration and the perception of flavor
Small, D. M., & Prescott, J. (2005) · Experimental Brain Research · doi:10.1007/s00221-005-2376-9 · Cited by 712
Spatial attention affects brain activity in human primary visual cortex
Gandhi, S., Heeger, D. J., & Boynton, G. M. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.6.3314 · Cited by 692
Green, B. G., Shaffer, G. S., & Gilmore, M. M. (1993) · Chemical Senses · doi:10.1093/chemse/18.6.683 · Cited by 610
The impact of perceptual interactions on perceived flavor
Delwiche, J. (2004) · Food Quality and Preference · doi:10.1016/s0950-3293(03)00041-7 · Cited by 563
Effect of ambience on food intake and food choice
Stroebele, N., & De Castro, J. M. (2004) · Nutrition · doi:10.1016/j.nut.2004.05.012 · Cited by 553
Multisensory contributions to low-level, ‘unisensory’ processing
Schroeder, C. E., & Foxe, J. J. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.06.008 · Cited by 506
The role of auditory cues in modulating the perceived crispness and staleness of potato chips
ZAMPINI, M., & SPENCE, C. (2004) · Journal of Sensory Studies · doi:10.1111/j.1745-459x.2004.080403.x · Cited by 463
The Evolution of Mammalian Gene Families
Demuth, J. P., Bie, T. D., Stajich, J., Cristianini, N., & Hahn, M. W. (2006) · PLoS ONE · doi:10.1371/journal.pone.0000085 · Cited by 382
A LABELED AFFECTIVE MAGNITUDE (LAM) SCALE FOR ASSESSING FOOD LIKING/DISLIKING1
Schutz, H. G., & Cardello, A. V. (2001) · Journal of Sensory Studies · doi:10.1111/j.1745-459x.2001.tb00293.x · Cited by 336
Crispness: a critical review on sensory and material science approaches
Roudaut, G., Dacremont, C., Vallès‐Pàmies, B., Colas, B., & Meste, M. L. (2002) · Trends in Food Science & Technology · doi:10.1016/s0924-2244(02)00139-5 · Cited by 269
Zampini, M., Sanabria, D., Phillips, N., & Spence, C. J. (2007) · Food Quality and Preference · doi:10.1016/j.foodqual.2007.04.001 · Cited by 253
Distortions of Subjective Time Perception Within and Across Senses
van Wassenhove, V., Buonomano, D. V., Shimojo, S., & Shams, L. B. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001437 · Cited by 251
Grape expectations: The role of cognitive influences in color-flavor interactions
Shankar, M. U., Levitan, C. A., & Spence, C. (2010) · Consciousness and Cognition · doi:10.1016/j.concog.2009.08.008 · Cited by 232
A PSYCHOACOUSTICAL THEORY OF CRISPNESS
VICKERS, Z. M., & Bourne, M. C. (1976) · Journal of Food Science · doi:10.1111/j.1365-2621.1976.tb14407.x · Cited by 226
Consumer Led Food Product Development
(2007) · doi:10.1201/9781439823903 · Cited by 223
Selective attention to affective value alters how the brain processes taste stimuli
Fabian Grabenhorst, B., & Rolls, E. T. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06033.x · Cited by 216
Odor-Taste Interactions: Effects of Attentional Strategies during Exposure
Prescott, J. (2004) · Chemical Senses · doi:10.1093/chemse/bjh036 · Cited by 213
Food Crushing Sounds. An Introductory Study a, b
Drake, B. K. (1963) · Journal of Food Science · doi:10.1111/j.1365-2621.1963.tb00190.x · Cited by 198
THE INFLUENCE OF AUDITORY CUES ON THE PERCEPTION OF, AND RESPONSES TO, FOOD AND DRINK
Spence, C. J., & Shankar, M. U. (2010) · Journal of Sensory Studies · doi:10.1111/j.1745-459x.2009.00267.x · Cited by 194
Consumer-led food product development
Hal, M. (2007) · Woodhead Publishing Limited eBooks · doi:10.1533/9781845693381 · Cited by 179
Chocolate eating in healthy men during experimentally induced sadness and joy
Macht, M., Roth, S., & Ellgring, H. (2002) · Appetite · doi:10.1006/appe.2002.0499 · Cited by 160
Smelling sounds: Olfactory-auditory sensory convergence in the olfactory tubercle
Wesson, D. W., & Wilson, D. A. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.6003-09.2010 · Cited by 150
Measuring consumer expectations to improve food product development
Cardello, A. V. (2007) · Elsevier eBooks · doi:10.1533/9781845693381.2.223 · Cited by 144
Implicit association between basic tastes and pitch
Crisinel, A.-S., & Spence, C. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.08.016 · Cited by 141
Relationships of Chewing Sounds to Judgments of Food Crispness
Christensen, C. M., & VICKERS, Z. M. (1981) · Journal of Food Science · doi:10.1111/j.1365-2621.1981.tb04914.x · Cited by 131
A new sensory vocabulary for crisp and crunchy dry model foods
Dijksterhuis, G., Luyten, H., de Wijk, R. A., & Mojet, J. (2005) · Food Quality and Preference · doi:10.1016/j.foodqual.2005.07.012 · Cited by 121
A sweet sound? Food names reveal implicit associations between taste and pitch
Crisinel, A.-S., & Spence, C. (2010) · Perception · doi:10.1068/p6574 · Cited by 108
Perceptual Processing Strategy and Exposure Influence the Perception of Odor Mixtures
Berre, E. L., Thomas‐Danguin, T., Béno, N., Coureaud, G., Étiévant, P. X., & Prescott, J. (2007) · Chemical Senses · doi:10.1093/chemse/bjm080 · Cited by 88
Styles of background music and consumption in a bar: An empirical evaluation
Jacob, C. (2006) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2006.01.002 · Cited by 86
Influence of noise on gustatory affective ratings and preference for sweet or salt.
Ferber, C., & Cabanac, M. (1987) · Appetite · doi:10.1016/0195-6663(87)90022-5 · Cited by 73
Holt‐Hansen, K. (1968) · Perceptual and Motor Skills · doi:10.2466/pms.1968.27.1.59 · Cited by 62
Santi, A., & Wasserman, E. A. (2008) · PsycEXTRA Dataset · doi:10.1037/e552312012-001 · Cited by 59
VICKERS, Z. M. (1983) · Journal of Food Science · doi:10.1111/j.1365-2621.1983.tb14898.x · Cited by 53
Flavor Expectation: The Effect of Assuming Homogeneity on Drink Perception
Woods, A. T., Poliakoff, E., Lloyd, D. M., Dijksterhuis, G., & Thomas, A. K. (2010) · Chemosensory Perception · doi:10.1007/s12078-010-9080-2 · Cited by 49
Acoustic noise in functional magnetic resonance imaging reduces pain unpleasantness ratings
Boyle, Y., Bentley, D. E., Watson, A., & Jones, A. K. P. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.025 · Cited by 25
Effect of Auditory Information on Food Recognition
Masuda, M., Yamaguchi, Y., Arai, K., & Okajima, K. (2008) · IEICE Technical Report; IEICE Tech. Rep. · Cited by 22
Perceptual Load Modulates Visual Cortex Excitability to Magnetic Stimulation
Muggleton, N. G., Lamb, R., Walsh, V., & Nilli Lavie, C. (2008) · Journal of Neurophysiology · doi:10.1152/jn.01287.2007 · Cited by 20
Research works printed but not linked: 1
- Crocker, 1950, The technology of flavours and odors, The Confectioner, 34, 36
Cited by
Sorted by citations
Biswas, D., Lund, K., & Szocs, C. (2018) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-018-0583-8 · Cited by 295
“…quiet) airline cabin noise decreases the intensity of sweet solutions and increases the intensity of umami flavored solutions (Yan and Dando 2015), and that louder background noise decreases the perceived sweetness and saltiness and increases the perceived crunchiness of foods (Woods et al. 2011).”
BackgroundCrisinel, A.-S., Cosser, S., King, S., Jones, R., Petrie, J., & Spence, C. (2012) · Food Quality and Preference · doi:10.1016/j.foodqual.2011.08.009 · Cited by 231
Crossmodal correspondences between sounds and tastes
Knöferle, K., & Spence, C. J. (2012) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0321-z · Cited by 224
“…milk and dark chocolate (Spence & Shankar, 2010).5 The latter result seems surprising, given that consonance is a musical attribute that should be strongly related to hedonic valence and the hedonic value of background sounds has been shown to bias concurrent taste evaluations (Woods et al., 2011).”
BackgroundBangcuyo, R. G., Smith, K., Zumach, J. L., Pierce, A. M., Guttman, G. A., & Simons, C. T. (2014) · Food Quality and Preference · doi:10.1016/j.foodqual.2014.11.017 · Cited by 204
Wang, Q. J., Mielby, L. A., Junge, J. Y., Bertelsen, A. S., Kidmose, U., Spence, C., & Byrne, D. V. (2019) · Foods · doi:10.3390/foods8060211 · Cited by 168
“[74] conducted studies assessing the impact of loud versus quiet background white noise (75–85 dB versus 45–55 dB) on the perception of sweetness, sourness and liking for a variety of foods.”
Background
Metadata
- Authors
- Woods, A. T., Poliakoff, E., Lloyd, D. M., Kuenzel, J., Hodson, R., Gonda, H., Batchelor, J., Dijksterhuis, G. B., & Thomas, A.
- Affiliations
- University of Manchester (GB)
- Unilever Research and Development Vlaardingen (NL)
- Corresponding author
- Woods, A.T.
- Venue
- Food Quality and Preference
- Publisher
- Elsevier BV
- Published
- 2011-01
- Volume
- 22
- Issue
- 1
- Pages
- 42-47
- ISSN
- 0950-3293 (ISSN-L)
- OpenAlex
- W2142059242
- Cited by
- 192
- References
- 41
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 12 · 2023: 14 · 2022: 14 · 2021: 11 · 2020: 16 · 2019: 18 · 2018: 11 · 2017: 9 · 2016: 10 · 2015: 29 · 2014: 11 · 2013: 8 · 2012: 7
- FWCI
- 7.91
- Type
- journal article
- Language
- en
- Open access
- green
- research.wur.nl
- Locations
- Food Quality and Preference (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Nuffield Foundation
- European Commission
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Life Sciences › Agricultural and Biological Sciences › Food Science › Sensory Analysis and Statistical Methods
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- background noise, food perception, taste perception, sweetness, salty taste, food liking, attentional effects, white noise, flavor perception
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