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Norm-focused nudges influence pro-environmental choices and moderate post-choice emotional responses.

Authors:
Carlos Andres Trujillo Catalina Estrada-Mejia Jose A Rosa

PLoS One 2021 1;16(3):e0247519. Epub 2021 Mar 1.

Iowa State University-Debbie and Jerry Ivy College of Business, Ames, Iowa, United States of America.

In this paper, we use choice architecture techniques to activate both social and personal norms, seeking to increase pro-environmental choices and to better understand the effect of such norm types on post-choice emotional responses. In four experiments, we make different social or personal norms salient by aligning choice environments with psychosocial mechanisms that activate different types of norms. We use different choice architecture techniques to change information, alter product sets, and generate the social consequences of choices. The target behavior, purchasing a recycled paper notebook, is captured through direct purchase behaviors or willingness to pay commitments. We find that choice architecture activates personal but not social norms, and that associated positive and negative emotions (guilt, shame, regret and pride) are elicited by choices but not by willingness to pay. Moreover, manipulating choice environment moderates the relationship between choice and norm-related emotions, such that positive emotional responses seem to be stronger than negative ones. The results suggest that choice architecture interventions can activate individual level beliefs about sustainability and help reduce the attitude-behavior gap.

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247519PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920343PMC
March 2021

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Am J Clin Nutr 2021 Apr 7. Epub 2021 Apr 7.

Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, VU University Amsterdam, Amsterdam, Netherlands.

Background: Nudging and salient pricing are promising strategies to promote healthy food purchases, but it is possible their effects differ across food groups.

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PeerJ Comput Sci 2020 7;6:e322. Epub 2020 Dec 7.

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Iterative improvement is an optimization technique that finds frequent application in heuristic optimization, but, to the best of our knowledge, has not yet been adopted in the automatic design of control software for robots. In this work, we investigate iterative improvement in the context of the automatic modular design of control software for robot swarms. In particular, we investigate the optimization of two control architectures: finite-state machines and behavior trees. Read More

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Departamento de Sociología y Comunicación, Facultad de Ciencias Sociales, Universidad de Salamanca, Salamanca, España.

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Comput Methods Programs Biomed 2021 Mar 21;204:106059. Epub 2021 Mar 21.

Department of Electronics, Information and Biomedical engineering, Politecnico di Milano, Milan, Italy; Consiglio Nazionale delle Ricerche, Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni, Milan, Italy. Electronic address:

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March 2021
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