Affective components in promoting physical activity: A randomized controlled trial of message framing

Carfora, Valentina; Biella, Marco; Catellani, Patrizia

doi:10.3389/fpsyg.2022.968109

Cited by 5 publications

(3 citation statements)

References 68 publications

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“…In terms of participant characteristics, the DBN integrated the variables of the SEM model with additional variables that previous research has shown to play a role in predicting engagement in physical activity, namely the psychosocial variables envisaged in the Theory of Planned Behavior (i.e., attitude, perceived behavioral control, and social norm; Ajzen, 1991 ; Conner and Armitage, 1998 ; Wolstenholme et al, 2021 ; Carfora et al, 2022 ) and socio-demographic variables (i.e., age, education, and gender). Such a model would therefore provide an answer to the following research question.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

A theory-based and data-driven approach to promoting physical activity through message-based interventions

Catellani¹,

Biella²,

Carfora³

et al. 2023

Front. Psychol.

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ObjectiveWe investigated how physical activity can be effectively promoted with a message-based intervention, by combining the explanatory power of theory-based structural equation modeling with the predictive power of data-driven artificial intelligence.MethodsA sample of 564 participants took part in a two-week message intervention via a mobile app. We measured participants’ regulatory focus, attitude, perceived behavioral control, social norm, and intention to engage in physical activity. We then randomly assigned participants to four message conditions (gain, non-loss, non-gain, loss). After the intervention ended, we measured emotions triggered by the messages, involvement, deep processing, and any change in intention to engage in physical activity.ResultsData analysis confirmed the soundness of our theory-based structural equation model (SEM) and how the emotions triggered by the messages mediated the influence of regulatory focus on involvement, deep processing of the messages, and intention. We then developed a Dynamic Bayesian Network (DBN) that incorporated the SEM model and the message frame intervention as a structural backbone to obtain the best combination of in-sample explanatory power and out-of-sample predictive power. Using a Deep Reinforcement Learning (DRL) approach, we then developed an automated, fast-profiling strategy to quickly select the best message strategy, based on the characteristics of each potential respondent. Finally, the fast-profiling method was integrated into an AI-based chatbot.ConclusionCombining the explanatory power of theory-driven structural equation modeling with the predictive power of data-driven artificial intelligence is a promising strategy to effectively promote physical activity with message-based interventions.

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Section: Theoretical Backgroundmentioning

confidence: 99%

A theory-based and data-driven approach to promoting physical activity through message-based interventions

Catellani¹,

Biella²,

Carfora³

et al. 2023

Front. Psychol.

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“…Persuasive technology can also leverage cognitive biases such as the framing effect, which is the tendency of people to respond differently to information depending on how it is presented. For example, a fitness app might frame the benefits of exercising as "preventing disease" or "improving longevity" depending on the user's age and health concerns (Carfora et al, 2022;Weeks et al, 2022).…”

Section: Taxonomy Of Persuasion Techniquesmentioning

confidence: 99%

Developing Persuasive Systems for Marketing: The interplay of persuasion techniques, customer traits and persuasive message design.

Braca

Dondio

2023

Preprint

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This paper presents a comprehensive review of persuasion techniques and their applications in the context of designing persuasive communication systems for marketing purposes. The study provides a condensed taxonomy of techniques and offer examples to guide the development of effective persuasive messages. Furthermore, the paper explores how attitudes, personality traits, and emotions can be leveraged as input data in predictive models, including machine learning approaches. The study's findings offer valuable insights for the design and implementation of persuasive communication systems across diverse contexts, including marketing and advertising, public health campaigns, and political messaging. This paper has the potential to serve as a valuable resource for both researchers and practitioners seeking to enhance their understanding of the science of persuasion, as it synthesizes existing literature and provides practical examples. In this way, the paper contributes to the field of persuasion research and practice, serving as a valuable tool for those seeking to expedite and deepen their knowledge of persuasive communication.

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“…Attitude is made up of three essential components, which are related to (a) the cognitive component, which is based on the ideas and perceptions about the object of the attitude, (b) the affective component, characterized by the feelings that the person has and their intensity (acceptance-rejection), and (c) the behavioral component, given by the response that the subject has, in reaction to the object of the attitude ( Carfora et al, 2022 ). There are experiential referents, which creates predispositions or attitudes that affect the incorporation of the student into the learning process and affect their school achievement or failure ( Gómez Barbosa et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Academic literacy among the university students in Mexico and Spain: A holistic perspective

Castillo-Martínez

Regalado²,

Morales³

et al. 2023

Front. Psychol.

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IntroductionCurrently, young people have access to a large amount of information, so they must have the ability to critically analyze the texts they are exposed to in order to choose those that are useful for their training or research process, as well as to have the necessary skills to interact efficiently with the texts, especially with those specialized documents corresponding to their area of study. In this regard, this article aims to identify how cognitive, emotional, attitudinal, digital and personality aspects influence the development of academic literacy skills in university students.MethodResearch was conducted with the mixed method, in which quantitative instruments were applied and analyzed: a Likert scale questionnaire to measure the perceived level of mastery of academic literacy skills, which was applied to a sample of 595 students from higher education institutions in Mexico and Spain. In addition, a test was applied to identify personality type. For the qualitative part, the case study was chosen and the qualitative instruments applied were interviews with a teacher and a student and a focus group with five students.ResultsThe findings identified were as follows: (a) the cognitive aspect of academic literacy is the one with the lowest perceived mastery by students, (b) having a positive attitude favors the development of academic literacy, (c) by knowing the aspects of their personality that can favor the development of academic literacy, students can seek strategies to improve that competency, (d) the emotional part has repercussions in the process of developing the competence of academic literacy, (e) students prefer to interact with texts in digital spaces and therefore must learn to interact critically in virtual environments, (f) Mexican students perceive themselves to have a higher level of mastery of the academic literacy competency than Spanish students.ConclusionThe literature review and the mixed methods study allowed identifying the relevance of approaching academic literacy in university environments in a holistic manner through the analysis of the influence of cognitive, attitudinal, emotional, digital and personality aspects.

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Affective components in promoting physical activity: A randomized controlled trial of message framing

Cited by 5 publications

References 68 publications

A theory-based and data-driven approach to promoting physical activity through message-based interventions

A theory-based and data-driven approach to promoting physical activity through message-based interventions

Developing Persuasive Systems for Marketing: The interplay of persuasion techniques, customer traits and persuasive message design.

Academic literacy among the university students in Mexico and Spain: A holistic perspective

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