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Preference-based serial decision dynamics: Your first sushi reveals your eating order at the sushi table

PLoS ONE, ISSN: 1932-6203, Vol: 9, Issue: 5, Page: e96653
2014
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Article Description

In everyday life, we regularly choose among multiple items serially such as playing music in a playlist or determining priorities in a to-do list. However, our behavioral strategy to determine the order of choice is poorly understood. Here we defined 'the sushi problem' as how we serially choose multiple items of different degrees of preference when multiple sequences are possible, and no particular order is necessarily better than another, given that all items will eventually be chosen. In the current study, participants selected seven sushi pieces sequentially at the lunch table, and we examined the relationship between eating order and preference. We found two dominant selection strategies, with one group selecting in order from most to least preferred, and the other doing the opposite, which were significantly different from patterns generated from a random strategy. Interestingly, we found that more females tended to employ the favorite-first rather than favorite-last strategy. These two choice sequences appear to reflect two opposing behavioral strategies that might provide selective advantages in their own right, while also helping to provide solutions to otherwise unconstrained problems. © 2014 Jeong et al.

Bibliographic Details

http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84901359497&origin=inward; http://dx.doi.org/10.1371/journal.pone.0096653; http://www.ncbi.nlm.nih.gov/pubmed/24846274; https://dx.plos.org/10.1371/journal.pone.0096653.g001; http://dx.doi.org/10.1371/journal.pone.0096653.g001; https://dx.plos.org/10.1371/journal.pone.0096653.t001; http://dx.doi.org/10.1371/journal.pone.0096653.t001; https://dx.plos.org/10.1371/journal.pone.0096653.g002; http://dx.doi.org/10.1371/journal.pone.0096653.g002; https://dx.plos.org/10.1371/journal.pone.0096653; https://digitalcommons.dartmouth.edu/facoa/3123; https://digitalcommons.dartmouth.edu/cgi/viewcontent.cgi?article=4112&context=facoa; https://dx.doi.org/10.1371/journal.pone.0096653.t001; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0096653.t001; https://dx.doi.org/10.1371/journal.pone.0096653.g001; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0096653.g001; https://dx.doi.org/10.1371/journal.pone.0096653.g002; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0096653.g002; https://dx.doi.org/10.1371/journal.pone.0096653; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0096653; http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0096653; https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0096653&type=printable; http://dx.plos.org/10.1371/journal.pone.0096653; http://dx.plos.org/10.1371/journal.pone.0096653.g002; http://www.plosone.org/article/metrics/info:doi/10.1371/journal.pone.0096653; http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0096653&type=printable; http://dx.plos.org/10.1371/journal.pone.0096653.g001; http://dx.plos.org/10.1371/journal.pone.0096653.t001; http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0096653

Jaeseung Jeong; Youngmin Oh; Miriam Chun; Jerald D. Kralik; Hiroaki Matsunami

Public Library of Science (PLoS)

Multidisciplinary

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