Heat and fraud: evaluating how room temperature influences fraud likelihood.


Journal

Cognitive research: principles and implications
ISSN: 2365-7464
Titre abrégé: Cogn Res Princ Implic
Pays: England
ID NLM: 101697632

Informations de publication

Date de publication:
19 11 2020
Historique:
received: 01 07 2019
accepted: 02 11 2020
entrez: 19 11 2020
pubmed: 20 11 2020
medline: 18 9 2021
Statut: epublish

Résumé

Despite the considerable amount of research devoted to understanding fraud, few studies have examined how the physical environment can influence the likelihood of committing fraud. One recent study found a link between room brightness and occurrence of human fraud behaviors. Therefore, the present study aims to investigate how temperature may affect fraud. Based on a power analysis using the effect size observed in a pilot study, we recruited 105 participants and randomly divided them into three temperature groups (warm, medium, and cool). We then counted fraud behaviors in each group and tested for potential significant differences with a Kruskal-Wallis test. Additionally, we used a correlation analysis to determine whether the perceived temperature affected fraud. As a result, regardless of participants' subjective sensory experience or their physical environment, we did not find that temperature-related factors influence the incidence of fraud. We discussed the potential reason for the results and suggested directions for future research.

Identifiants

pubmed: 33211204
doi: 10.1186/s41235-020-00261-2
pii: 10.1186/s41235-020-00261-2
pmc: PMC7677414
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

60

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Auteurs

Huanxu Liu (H)

Graduate School of Human-Environment Studies, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan. ryuukansyo@gmail.com.

Jingwen Yang (J)

Graduate School of Human-Environment Studies, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan.

Yuki Yamada (Y)

Faculty of Arts and Science, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan. yamadayuk@gmail.com.

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Classifications MeSH