Maria Fiorenza

Bio: Maria Fiorenza is an academic researcher. The author has contributed to research in topics: Psychology & Mental health. The author has an hindex of 1, co-authored 3 publications receiving 2 citations.

When Italians Follow the Rules against COVID Infection: A Psychological Profile for Compliance

Abstract: The 2019 coronavirus (COVID-19) outbreak has drastically changed people’s lifestyles and forced them to adopt new behaviors. To assess Italians’ reported compliance to the behavioral provisions issued by the Italian Ministry of Health against the COVID-19 pandemic and identify the socio-demographic and psychological profile of a person who is more likely to comply with them, we conducted a quantitative study with 1556 participants. Notably, in Italy, after a month of lockdown, the reported compliance with anti-COVID prescriptions was high overall. Moreover, personality traits, risk perception, well-being levels, and emotional activations appeared to play a role in promoting or hindering people’s reported compliance. These findings emphasize the importance of being aware of the reported compliance’s antecedents for defining advanced pro-compliance policies and messages and thus better manage each stage of the COVID-19 pandemic in Italy and, plausibly, in other countries.

What Went Wrong? Predictors of Contact Tracing Adoption in Italy during COVID-19 Pandemic

Abstract: Together with vaccines, contact tracing systems (CTS) have proved to be one of the best strategies to deal with the current COVID-19 pandemic. However, the adoption of such systems has been quite limited in EU countries, and Italy was no exception. The present research aimed to investigate the factors drawn from the most relevant psychological models in the literature, most associated with the adoption of CTS. The data analysis of the 501 surveyed answers (329 from CTS adopters) showed that knowing important others who have downloaded the CTS, CTS attitudes, CTS perceived efficacy, COVID-19 risk perception, and trust in the government and its actions influenced the adoption of the Italian CTS (52% of explained variance). These factors defined a new specific model that can be used to more effectively promote CTS adoption and thus increase the protective potential of these technologies, whose effectiveness is inevitably linked to adoption.

How Reputation Systems Change the Psychological Antecedents of Fairness in Virtual Environments

Abstract: Reputational systems promote pro-social behaviors, also in virtual environments, therefore their study contributes to the knowledge of social interactions. Literature findings emphasize the power of reputation in fostering fairness in many circumstances, even when its influence is not directly oriented towards specific individuals. The present study contributes to the investigation of the psychological antecedents of fairness, introducing (or not) reputation in the social dilemma framework. Although reputational systems usually influence fairness dynamics, there are also socio-psychological characteristics that can play a role, affecting the adhesion to the norm online. To investigate their effects, we employed a virtual bargaining game that could include a reputational system depending on the experimental condition. Results show that the participant’s fairness could be significantly influenced by socio-psychological and demographic characteristics, as well as personality traits. Reputation seems to decrease fairness in those individuals who report high levels of Neuroticism and Openness. At the same time, high values of Self-Efficacy appear to be more likely associated with unfair behaviors when reputation is off the bargaining. Finally, Age and Sense of Community emerge as fairness promoters regardless of the experimental condition.

Implicit Association Test (IAT) toward Climate Change: a PRISMA Systematic Review

Abstract: Global environmental concerns affecting our planet require immediate action. To better understand the psychological dynamics underlying the adoption of pro-environmental behaviors, research increasingly directed its attention to the implicit (unconscious) psychological antecedents (attitudes) of the adoption of sustainable behaviors against climate change. The objective of this systematic review was to examine and summarize the current evidence for the association between the implicit attitudes related to climate change measured through the Implicit Association Test (IAT), and the explicit attitudes, beliefs, and identity toward climate change. Based on PRISMA guidelines, a structured electronic literature search of Google Scholar, PsycInfo, PubMed, Science Direct, PsycArticles, Sociological Abstracts, and Academic Search Complete was conducted. Of the 943 abstracts screened, only 18 studies met the inclusion criteria. Most studies testified independence between implicit and explicit attitudes towards climate change (absence of correlation). Despite this, implicit attitudes still predicted pro-environmental identity, while contradictory results appeared with beliefs. This highlights the urgency of promoting new research to understand on a deeper level dynamics involving implicit attitudes.

The Relationship between Orthorexia Nervosa and Obsessive Compulsive Disorder

Abstract: Orthorexia nervosa (ON) is characterized by an intense avoidance of foods considered unhealthy, obsession with healthy eating behaviors, and pathological fixation on healthy foods. Although there are still debates in the literature about the psychological factors and symptoms of ON, it should be noted that many of the symptoms share common features with obsessive compulsive disorder (OCD). The aim of the present study was to investigate the relationship between ON and OCD with its subtypes. In this framework, the cross-sectional study was conducted with an opportunistic sample of 587 participants (86% women and 14% men), with an average age of 29.32 (s.d. = 11.29; age range = 15–74). Our work showed that almost all OCD subtypes were largely correlated with ON. The lowest correlation was for “Checking” and the highest for “Obsession”. Overall, the OCD subtypes (i.e., Indecisiveness, Just Right, Obsession, and Hoarding) were more strongly associated with ON measures, while subtypes Checking and Contamination, although positively associated, had lower correlation coefficients.

Management of Smart and Sustainable Cities in the Post-COVID-19 Era: Lessons and Implications

Abstract: Nowadays, the concept of smart sustainable governance is wrapped around basic principles such as: (i) transparency, (ii) accountability, (iii) stakeholders’ involvement, and iv) citizens’ participation. It is through these principles that are influenced by information and communication technologies (ICT), Internet of Things (IoT), and artificial intelligence, that the practices employed by citizens and their interaction with electronic government (e-government) are diversified. Previously, the misleading concepts of the smart city implied only the objective of the local level or public officials to utilize technology. However, the recent European experience and research studies have led to a more comprehensive notion that refers to the search for intelligent solutions which allow modern sustainable cities to enhance the quality of services provided to citizens and to improve the management of urban mobility. The smart city is based on the usage of connected sensors, data management, and analytics platforms to improve the quality and functioning of built-environment systems. The aim of this paper is to understand the effects of the pandemic on smart cities and to accentuate major exercises that can be learned for post-COVID sustainable urban management and patterns. The lessons and implications outlined in this paper can be used to enforce social distancing community measures in an effective and timely way, and to optimize the use of resources in smart and sustainable cities in critical situations. The paper offers a conceptual overview and serves as a stepping-stone to extensive research and the deployment of sustainable smart city platforms and intelligent transportation systems (a sub-area of smart city applications) after the COVID-19 pandemic using a case study from Russia. Overall, our results demonstrate that the COVID-19 crisis encompasses an excellent opportunity for urban planners and policy makers to take transformative actions towards creating cities that are more intelligent and sustainable.

Through the Second Wave: Analysis of the Psychological and Perceptive Changes in the Italian Population during the COVID-19 Pandemic

Abstract: More than a year has passed since “patient 0” was found and COVID-19 is now an established reality that a lot of people have had to accept and coexist with. In Italy, the pandemic hit in “waves”, but the studies assessing the longitudinal impact of the pandemic in the general population are not many. In this paper, we compared data collected during the first wave with data gathered during the second one, so that we can provide insights about the Italian population’s psychological adaptation to the pandemic also by comparing them with pre-pandemic normative scores. From our results, it seemed that people were seeking a compromise: indeed, despite the still-relevant risk perception, people apparently “learned” how to deal with the pandemic as indicated by an increase in self-efficacy and a more internal locus of control.

Reviewing stranger on the internet: The role of identifiability through “reputation” in online decision making

Abstract: The stranger on the Internet effect has been studied in relation to self-disclosure. Nonetheless, quantitative evidence about how people mentally represent and perceive strangers online is still missing. Given the dynamic development of web technologies, quantifying how much strangers can be considered suitable for pro-social acts such as self-disclosure appears fundamental for a whole series of phenomena ranging from privacy protection to fake news spreading. Using a modified and online version of the Ultimatum Game (UG), we quantified the mental representation of the stranger on the Internet effect and tested if people modify their behaviors according to the interactors’ identifiability (i.e., reputation). A total of 444 adolescents took part in a 2 × 2 design experiment where reputation was set active or not for the two traditional UG tasks. We discovered that, when matched with strangers, people donate the same amount of money as if the other has a good reputation. Moreover, reputation significantly affected the donation size, the acceptance rate and the feedback decision making as well.

An IoT-Based COVID-19 Prevention and Control System for Enclosed Spaces

Abstract: To date, the protracted pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had widespread ramifications for the economy, politics, public health, etc. Based on the current situation, definitively stopping the spread of the virus is infeasible in many countries. This does not mean that populations should ignore the pandemic; instead, normal life needs to be balanced with disease prevention and control. This paper highlights the use of Internet of Things (IoT) for the prevention and control of coronavirus disease (COVID-19) in enclosed spaces. The proposed booking algorithm is able to control the gathering of crowds in specific regions. K-nearest neighbors (KNN) is utilized for the implementation of a navigation system with a congestion control strategy and global path planning capabilities. Furthermore, a risk assessment model is designed based on a “Sliding Window-Timer” algorithm, providing an infection risk assessment for individuals in potential contact with patients.

What Went Wrong? Predictors of Contact Tracing Adoption in Italy during COVID-19 Pandemic

Abstract: Together with vaccines, contact tracing systems (CTS) have proved to be one of the best strategies to deal with the current COVID-19 pandemic. However, the adoption of such systems has been quite limited in EU countries, and Italy was no exception. The present research aimed to investigate the factors drawn from the most relevant psychological models in the literature, most associated with the adoption of CTS. The data analysis of the 501 surveyed answers (329 from CTS adopters) showed that knowing important others who have downloaded the CTS, CTS attitudes, CTS perceived efficacy, COVID-19 risk perception, and trust in the government and its actions influenced the adoption of the Italian CTS (52% of explained variance). These factors defined a new specific model that can be used to more effectively promote CTS adoption and thus increase the protective potential of these technologies, whose effectiveness is inevitably linked to adoption.