TY - JOUR
T1 - Tastiness but not healthfulness captures automatic visual attention
T2 - Preliminary evidence from an eye-tracking study
AU - Motoki, Kosuke
AU - Saito, Toshiki
AU - Nouchi, Rui
AU - Kawashima, Ryuta
AU - Sugiura, Motoaki
N1 - Funding Information:
This work was supported by Grant-in-Aid for Scientific Research (A) Grant Number 15H01771. The authors would like to thank the anonymous reviewers for their helpful comments, which greatly improved the final version of the paper.
Publisher Copyright:
© 2017 The Author(s)
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2018/3
Y1 - 2018/3
N2 - Visual attention can be automatically captured. From an evolutionary perspective, automatic attention can be useful for rapidly detecting salient stimuli, such as foods. Two attributes of foods (tastiness and healthfulness) are needed for survival. Moreover, these two attributes have different characteristics possibly associated with automatic visual attention. The more basic and hedonic attributes of tastiness are processed earlier than those of healthfulness during elaborative food choices. However, it remains unknown how the two attributes (tastiness and healthfulness) automatically capture visual attention. To this end, we investigated the extent to which taste- and health-related food information influences automatic visual attention using eye-tracking. Thirty-seven participants engaged in the target-distractor paradigm where four images were presented (top/bottom for houses as the target, left/right for foods as the distractor). Participants indicated whether the presented targets (houses) were the same or not. Visual attention toward foods would be automatic because the participants did not have to attend to them. Tastiness, but not healthfulness, captured automatic visual attention. In addition, preferred foods did not capture automatic visual attention. Even after including confounding factors associated with the stimuli (e.g., brightness, familiarity, complexity), automatic visual attention captured by tastiness remained significant. These preliminary findings indicate that humans detect hedonic food information such as tastiness, but not healthfulness or preferences.
AB - Visual attention can be automatically captured. From an evolutionary perspective, automatic attention can be useful for rapidly detecting salient stimuli, such as foods. Two attributes of foods (tastiness and healthfulness) are needed for survival. Moreover, these two attributes have different characteristics possibly associated with automatic visual attention. The more basic and hedonic attributes of tastiness are processed earlier than those of healthfulness during elaborative food choices. However, it remains unknown how the two attributes (tastiness and healthfulness) automatically capture visual attention. To this end, we investigated the extent to which taste- and health-related food information influences automatic visual attention using eye-tracking. Thirty-seven participants engaged in the target-distractor paradigm where four images were presented (top/bottom for houses as the target, left/right for foods as the distractor). Participants indicated whether the presented targets (houses) were the same or not. Visual attention toward foods would be automatic because the participants did not have to attend to them. Tastiness, but not healthfulness, captured automatic visual attention. In addition, preferred foods did not capture automatic visual attention. Even after including confounding factors associated with the stimuli (e.g., brightness, familiarity, complexity), automatic visual attention captured by tastiness remained significant. These preliminary findings indicate that humans detect hedonic food information such as tastiness, but not healthfulness or preferences.
KW - Automatic visual attention
KW - Eye tracking
KW - Foods
KW - Healthfulness
KW - Tastiness
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U2 - 10.1016/j.foodqual.2017.09.014
DO - 10.1016/j.foodqual.2017.09.014
M3 - Article
AN - SCOPUS:85030851910
SN - 0950-3293
VL - 64
SP - 148
EP - 153
JO - Food Quality and Preference
JF - Food Quality and Preference
ER -