Psychological Science Accelerator Self-Determination Theory Collaboration (2022). A global experiment on motivating social distancing during the COVID-19 pandemic. 社会的距離拡大方略を動機づけるものは何か？新型コロナウィルス流行下における超多国間実験 Proceedings of the National Academy of Sciences, 119(22), e2111091119. https://doi.org/10.1073/pnas.2111091119
Finding communication strategies that effectively motivate social distancing continues to be a global public health priority during the COVID-19 pandemic. This cross-country, preregistered experiment (n = 25,718 from 89 countries) tested hypotheses concerning generalizable positive and negative outcomes of social distancing messages that promoted personal agency and reflective choices (i.e., an autonomy-supportive message) or were restrictive and shaming (i.e., a controlling message) compared with no message at all. Results partially supported experimental hypotheses in that the controlling message increased controlled motivation (a poorly internalized form of motivation relying on shame, guilt, and fear of social consequences) relative to no message. On the other hand, the autonomy-supportive message lowered feelings of defiance compared with the controlling message, but the controlling message did not differ from receiving no message at all. Unexpectedly, messages did not influence autonomous motivation (a highly internalized form of motivation relying on one’s core values) or behavioral intentions. Results supported hypothesized associations between people’s existing autonomous and controlled motivations and self-reported behavioral intentions to engage in social distancing. Controlled motivation was associated with more defiance and less long-term behavioral intention to engage in social distancing, whereas autonomous motivation was associated with less defiance and more short- and long-term intentions to social distance. Overall, this work highlights the potential harm of using shaming and pressuring language in public health communication, with implications for the current and future global health challenges.
調査票の日本語訳および日本データの収集を山田祐樹（九州大学）・石井辰典（日本女子大学）・国里愛彦（専修大学）・角南直幸（Delaware Data Innovation Lab）・井隼経子（福岡工業大学）が担当した。またこの活動に際し、日本心理学会「新型コロナウイルス感染拡大に関連した実践活動及び研究」の助成を受けた。