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Abstract
How we perceive the world is not solely determined by our experiences at a given moment in time, but also by what we have experienced in our immediate past. Here, we investigated whether such sequential effects influence the affective appraisal of food images. Participants from 16 different countries (N = 1278) watched a randomly presented sequence of 60 different food images and reported their affective appraisal of each image in terms of valence and arousal. For both measures, we conducted an inter-trial analysis, based on whether the rating on the preceding trial(s) was low or high. The analyses showed that valence and arousal ratings for a given food image are both assimilated towards the ratings on the previous trial (i.e., a positive serial dependence). For a given trial, the arousal rating depends on the arousal ratings up to three trials back. For valence, we observed a positive dependence for the immediately preceding trial only, while a negative (repulsive) dependence was present up to four trials back. These inter-trial effects were larger for males than for females, but independent of the participants’ BMI, age, and cultural background. The results of this exploratory study may be relevant for the design of websites of food delivery services and restaurant menus.
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1 TNO, Human Factors, Soesterberg, the Netherlands (GRID:grid.4858.1) (ISNI:0000 0001 0208 7216); University of Amsterdam, Brain and Cognition, Amsterdam, the Netherlands (GRID:grid.7177.6) (ISNI:0000000084992262)
2 TNO, Human Factors, Soesterberg, the Netherlands (GRID:grid.4858.1) (ISNI:0000 0001 0208 7216)
3 University of Isfahan, Isfahan, Iran (GRID:grid.411750.6) (ISNI:0000 0001 0454 365X)
4 TNO, Human Factors, Soesterberg, the Netherlands (GRID:grid.4858.1) (ISNI:0000 0001 0208 7216); University of Twente, Research Group Human Media Interaction, Enschede, the Netherlands (GRID:grid.6214.1) (ISNI:0000 0004 0399 8953)
5 Kikkoman Europe R&D Laboratory B.V, Wageningen, the Netherlands (GRID:grid.4858.1); TNO, Microbiology and Systems Biology, Zeist, the Netherlands (GRID:grid.4858.1) (ISNI:0000 0001 0208 7216)
6 Ewha Womans University, Department of Nutritional Science and Food Management, Seoul, Republic of Korea (GRID:grid.255649.9) (ISNI:0000 0001 2171 7754)
7 University of Pretoria, Dept of Consumer & Food Sciences, Pretoria, South Africa (GRID:grid.49697.35) (ISNI:0000 0001 2107 2298)
8 Ivet University, Semarang, Indonesia (GRID:grid.49697.35); Padjadjaran University, Faculty of Psychology, Bandung, Indonesia (GRID:grid.11553.33) (ISNI:0000 0004 1796 1481)
9 National Chung Hsing University, Taichung, Taiwan (R.O.C.) (GRID:grid.260542.7) (ISNI:0000 0004 0532 3749)
10 Mount Saint Vincent University, Department of Applied Human Nutrition, Halifax, Canada (GRID:grid.260303.4) (ISNI:0000 0001 2186 9504); Dalhousie University, Department of Physiology and Biophysics, Faculty of Medicine, Halifax, Canada (GRID:grid.55602.34) (ISNI:0000 0004 1936 8200)
11 Dalhousie University, Department of Physiology and Biophysics, Faculty of Medicine, Halifax, Canada (GRID:grid.55602.34) (ISNI:0000 0004 1936 8200)
12 Hawassa University, School of Nutrition, Food Science and Technology, College of Agriculture, Hassawa, Ethiopia (GRID:grid.192268.6) (ISNI:0000 0000 8953 2273)
13 Medical University, Department of Occupational Medicine, Sofia, Bulgaria (GRID:grid.410563.5) (ISNI:0000 0004 0621 0092)
14 University of Agriculture, Abeokuta, Nigeria (GRID:grid.448723.e)
15 Padjadjaran University, Faculty of Psychology, Bandung, Indonesia (GRID:grid.11553.33) (ISNI:0000 0004 1796 1481)
16 TNO, Microbiology and Systems Biology, Zeist, the Netherlands (GRID:grid.4858.1) (ISNI:0000 0001 0208 7216)
17 Kikkoman Europe R&D Laboratory B.V, Wageningen, the Netherlands (GRID:grid.4858.1)
18 Marmara University, Istanbul, Turkey (GRID:grid.16477.33) (ISNI:0000 0001 0668 8422)