Sequential dependency for affective appraisal of food images

Erik Van der Burg*, Alexander Toet, Zahra Abbasi, Anne Marie Brouwer, Jan B.F. Van Erp, Victor L. Kallen, Daisuke Kaneko, Youjin (Eugene) Kim, Marise Kinnear, Henriëtte L. de Kock, Dyah Kusbiantari, Tzong Ru Lee, Yingxuan Liu, Bohdan L. Luhovyy, Emily MacEachern, Abadi Gebre Mezgebe, Rouja Nikolova, Ganiyat Olatunde, Wilis Srisayekti, Muhammad Rizwan TahirShota Ushiama, Merve Aslıhan Yürek

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
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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.

Original languageEnglish
Article number228
Number of pages11
JournalHumanities and Social Sciences Communications
Volume8
Issue number1
Early online date12 Oct 2021
DOIs
Publication statusPublished - Dec 2021

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