Merylin Monaro
Dados Biográficos
| ID | 242254 |
|---|---|
| NOME | Merylin Monaro |
| PRENOMES | Merylin |
| SOBRENOME | Monaro |
| ASSINATURA | MONARO M |
| AFILIAÇÕES | University of Padua |
| ORCID | 0000-0001-5598-691X |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 26 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 22 |
| TOTAL COMO EDITOR | 4 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2018 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Digital Relationality and Emotional Well‐Being
This integrative review examines how digitally mediated relational practices shape emotional well‐being in contemporary societies, synthesizing research published between 2015 and 2025. Focusing on six interrelated constructs—digital empathy, narcissism, loneliness, ghosting, online friendship dynamics, and emotion regulation—the review draws on a final corpus of 100 peer‐reviewed studies indexed in Scopus and Web of Science. The evidence shows t…
Can LLM‐Generated, Personalized Social Media Messages Reduce Stigma Toward Individuals With Mental Health Problems? A Randomized Experimental Study
Objectives The primary aim of this study was to evaluate whether LLM‐generated, personalized social media messages were more effective than a standard control message in reducing public stigma toward individuals with mental health problems. Methods An experiment was conducted with an online convenience sample of 560 Australian adults. Participants were randomized to view either a standard control message of a person′s public disclosure of depress…
Virtual and Augmented Reality in Sensory Marketing
This review is intended to provide an up‐to‐date overview of sensory marketing research exploiting virtual and augmented reality technologies in the retail scenario. The five senses play a fundamental role in the purchasing experience, and the lack of multisensorial interaction with the product is one of the factors that prevent e‐commerce from becoming the first choice of customers, especially for certain categories of products. Virtual and augm…
Humans incorrectly reject confident accusatory AI judgments
Automated verbal deception detection using methods from Artificial Intelligence (AI) has been shown to outperform humans in disentangling lies from truths. Research suggests that transparency and interpretability of computational methods tend to increase human acceptance of using AI to support decisions. However, the extent to which humans accept AI judgments for deception detection remains unclear. We experimentally examined how an AI model’s ac…
Behind Nonconsensual Sexting Among Adolescents
Social networks have become integral to adolescent communication, with sexting—defined as the exchange of sexual content—emerging as a common practice. While consensual sexting is often viewed as a form of sexual expression, nonconsensual sexting represents a significant type of digital violence. This study examined the relationship between NCS victimization and perpetration among adolescents and explored the moderating roles of empathy and toxic…
Collaborative Robots Adapting Their Behavior Based on Workers’ Psychological States
Integrating collaborative robots (cobots) in work environments is advancing rapidly, with growing attention to designing systems that can effectively collaborate with humans. A key aspect of this effort is enhancing cobots’ adaptability, that is, their ability to adjust behavior in real time based on workers’ needs and characteristics, particularly their psychological states. Despite increasing research, a synthesis of the most considered psychol…
Sexual Crimes in Metaverse
Metaverse introduces novel challenges in the domain of criminal behavior, particularly concerning sexual abuse. Its defining characteristics—heightened presence, embodiment, anonymity, and decentralization—amplify risks and differentiate it from traditional digital platforms. Unlike conventional internet environments, Metaverse simulates real-life experiences with immersive realism, intensifying cybercrimes' psychological impact and necessitating…
Enhancing shopping experience in augmented reality by customizing product manipulation modalities
In recent years, Augmented Reality (AR) technology has permeated various domains. This paper focuses on the critical aspect of enhancing customer interaction within AR e-commerce environments by investigating the impact of virtual product size manipulation on usability, user experience, and shopping satisfaction. We tested two manipulation modalities: an unconstrained scaling modality, enabling users to manually adjust product dimensions, and an …
Investigating the truthfulness of autobiographical events through mouse dynamics
This study examines the kinematic characteristics of mouse movements as a means to assess the truthfulness of reported autobiographical memories. Ninety participants answered double-choice questions about an autobiographical event using a computer mouse. To induce cognitive load in deceptive responses, complex questions were introduced. Participants were divided into three groups: truthful responders (n = 30), those instructed to fabricate an ent…
Detecting Deception Through Linguistic Cues
Detecting deception in interpersonal communication is a pivotal issue in social psychology, with significant implications for court and criminal proceedings. In this study, four experiments were designed to compare the performance of natural language processing (NLP) techniques and human judges in detecting deception from linguistic cues in a dataset of 62 transcriptions of video-taped interviews (32 genuine and 30 deceptive). The results showed …
A Step Forward in Identifying Socially Desirable Respondents
Context: In high‐stakes assessments, such as court cases or managerial evaluations, decision‐makers heavily rely on psychological testing. These assessments often play a crucial role in determining important decisions that affect a person’s life and have a significant impact on society. Problem Statement: Research indicates that many psychological assessments are compromised by respondents’ deliberate distortions and inaccurate self‐presentations…
Did You Commit a Crime There? Investigating the Visual Exploration Patterns of Guilty, Innocent, Honest, and Dishonest Subjects When Viewing a Complex Mock Crime Scene
Previous studies with the eye-tracking technology have predominantly tracked eye parameters in response to a single simple stimulus, and have generated interesting - sometimes inconsistent - results in research on deceptive behavior. The present study analyzed visual patterns in response to a complex image, to investigate potential differences in eye fixation between guilty versus innocent, and honest versus dishonest participants. One hundred an…
Psychological Distress Related to the Covid-19 Pandemic
The COVID-19 outbreak and the worldwide lockdown measures had an impact on the global mental health and psychological well-being of the general population. Several studies attempted to investigate the protective and risk factors for psychological distress related to the pandemic. However, to date, little is known about the role of hope in this context. The aim of this study was to determine the relationship between hope and psychological distress…
Detecting deception through facial expressions in a dataset of videotaped interviews
Detecting faking-good response style in personality questionnaires with four choice alternatives
Deliberate attempts to portray oneself in an unrealistic manner are commonly encountered in the administration of personality questionnaires. The main aim of the present study was to explore whether mouse tracking temporal indicators and machine learning models could improve the detection of subjects implementing a faking-good response style when answering personality inventories with four choice alternatives, with and without time pressure. A to…
The detection of faked identity using unexpected questions and choice reaction times
The identification of faked identities, especially within the Internet environment, still remains a challenging issue both for companies and researchers. Recently, however, latency-based lie detection techniques have been developed to evaluate whether the respondent is the real owner of a certain identity. Among the paradigms applied to this purpose, the technique of asking unexpected questions has proved to be useful to differentiate liars from …
Cigarette Smoking and Dating App Use
Existing studies in the literature indicate an association between the use of dating apps and substance-related behaviours (i.e., alcohol consumption, drug consumption). However, to date, no studies investigated the relation between dating app use and smoking. This study aims to explore this association. A total of 1278 respondents completed an online ad hoc questionnaire assessing demographics, smoking habits, dating app use, motivations for usi…
Fear of Infection and the Common Good
In the first quarter of 2020, Italy became one of the earliest hotspots of COVID-19 infection, and the government imposed a lockdown. During the lockdown, an online survey of 2053 adults was conducted that asked about health behaviors and about the psychological and overall impact of COVID-19. The present study is a secondary analysis of that data. We hypothesized that self-control, higher socio-economic status, existing health conditions, and fe…
The Relationship between Drug Consumption and Dating App Use
To date, the literature regarding the relationship between drug consumption and dating app use is still very scant and inconclusive. The present study was thus aimed at investigating the association between drug consumption and dating app use in the general population. A total of 1278 Italian respondents completed an online ad hoc questionnaire assessing drug consumption (cannabis versus other illicit drugs), dating app use, the primary motive fo…
The Association between Dating Apps and Alcohol Consumption in an Italian Sample of Active Users, Former Users, and Non-Users
To date, the relationship between alcohol use and dating app use has been investigated mostly in conjunction with sexual activities and in homosexual men. For this reason, the aim of this study was to explore the association between dating app use and alcohol consumption among the general population. A cross-sectional study was conducted including app users, non-users, and former users: 1278 respondents completed an online ad hoc questionnaire as…
Spotting faked 5 stars ratings in E-Commerce using mouse dynamics
How to Improve Compliance with Protective Health Measures during the Covid-19 Outbreak
In the wake of the sudden spread of COVID-19, a large amount of the Italian population practiced incongruous behaviors with the protective health measures. The present study aimed at examining psychological and psychosocial variables that could predict behavioral compliance. An online survey was administered from 18-22 March 2020 to 2766 participants. Paired sample t -tests were run to compare efficacy perception with behavioral compliance. Media…
A 2-Month Follow-Up Study of Psychological Distress among Italian People during the Covid-19 Lockdown
The spread of coronavirus disease 2019 (COVID-19) has called for unprecedented measures, including a national lockdown in Italy. The present study aimed at identifying psychological changes (e.g., changes in depression, stress, and anxiety levels) among the Italian public during the lockdown period, in addition to factors associated with these changes. An online follow-up survey was administered to 439 participants (original sample = 2766), betwe…
The Detection of Malingered Amnesia
The nature of amnesia in the context of crime has been the subject of a prolonged debate. It is not uncommon that after committing a violent crime, the offender either does not have any memory of the event or recalls it with some gaps in its recollection. A number of studies have been conducted in order to differentiate between simulated and genuine amnesia. The recognition of probable malingering requires several inferential methods. For instanc…
Introducing Machine Learning to Detect Personality Faking-Good in a Male Sample
Background and Purpose. The use of machine learning (ML) models in the detection of malingering has yielded encouraging results, showing promising accuracy levels. We investigated the possible application of this methodology when trained on behavioral features, such as response time (RT) and time pressure, to identify faking behavior in self-report personality questionnaires. To do so, we reintroduced the article of Roma et al. (2018), which high…
The Association between Dating Apps and Alcohol Consumption in an Italian Sample of Active Users, Former Users, and Non-Users
To date, the relationship between alcohol use and dating app use has been investigated mostly in conjunction with sexual activities and in homosexual men. For this reason, the aim of this study was to explore the association between dating app use and alcohol consumption among the general population. A cross-sectional study was conducted including app users, non-users, and former users: 1278 respondents completed an online ad hoc questionnaire as…
The Detection of Malingering
Major depression is a high-prevalence mental disease with major socio-economic impact, for both the direct and the indirect costs. Major depression symptoms can be faked or exaggerated in order to obtain economic compensation from insurance companies. Critically, depression is potentially easily malingered, as the symptoms that characterize this psychiatric disorder are not difficult to emulate. Although some tools to assess malingering of psychi…
The Detection of Malingered Amnesia
The nature of amnesia in the context of crime has been the subject of a prolonged debate. It is not uncommon that after committing a violent crime, the offender either does not have any memory of the event or recalls it with some gaps in its recollection. A number of studies have been conducted in order to differentiate between simulated and genuine amnesia. The recognition of probable malingering requires several inferential methods. For instanc…
Introducing Machine Learning to Detect Personality Faking-Good in a Male Sample
Background and Purpose. The use of machine learning (ML) models in the detection of malingering has yielded encouraging results, showing promising accuracy levels. We investigated the possible application of this methodology when trained on behavioral features, such as response time (RT) and time pressure, to identify faking behavior in self-report personality questionnaires. To do so, we reintroduced the article of Roma et al. (2018), which high…
Spotting faked 5 stars ratings in E-Commerce using mouse dynamics
How to Improve Compliance with Protective Health Measures during the Covid-19 Outbreak
In the wake of the sudden spread of COVID-19, a large amount of the Italian population practiced incongruous behaviors with the protective health measures. The present study aimed at examining psychological and psychosocial variables that could predict behavioral compliance. An online survey was administered from 18-22 March 2020 to 2766 participants. Paired sample t -tests were run to compare efficacy perception with behavioral compliance. Media…
A 2-Month Follow-Up Study of Psychological Distress among Italian People during the Covid-19 Lockdown
The spread of coronavirus disease 2019 (COVID-19) has called for unprecedented measures, including a national lockdown in Italy. The present study aimed at identifying psychological changes (e.g., changes in depression, stress, and anxiety levels) among the Italian public during the lockdown period, in addition to factors associated with these changes. An online follow-up survey was administered to 439 participants (original sample = 2766), betwe…
Detecting faking-good response style in personality questionnaires with four choice alternatives
Deliberate attempts to portray oneself in an unrealistic manner are commonly encountered in the administration of personality questionnaires. The main aim of the present study was to explore whether mouse tracking temporal indicators and machine learning models could improve the detection of subjects implementing a faking-good response style when answering personality inventories with four choice alternatives, with and without time pressure. A to…
The detection of faked identity using unexpected questions and choice reaction times
The identification of faked identities, especially within the Internet environment, still remains a challenging issue both for companies and researchers. Recently, however, latency-based lie detection techniques have been developed to evaluate whether the respondent is the real owner of a certain identity. Among the paradigms applied to this purpose, the technique of asking unexpected questions has proved to be useful to differentiate liars from …
Cigarette Smoking and Dating App Use
Existing studies in the literature indicate an association between the use of dating apps and substance-related behaviours (i.e., alcohol consumption, drug consumption). However, to date, no studies investigated the relation between dating app use and smoking. This study aims to explore this association. A total of 1278 respondents completed an online ad hoc questionnaire assessing demographics, smoking habits, dating app use, motivations for usi…
Fear of Infection and the Common Good
In the first quarter of 2020, Italy became one of the earliest hotspots of COVID-19 infection, and the government imposed a lockdown. During the lockdown, an online survey of 2053 adults was conducted that asked about health behaviors and about the psychological and overall impact of COVID-19. The present study is a secondary analysis of that data. We hypothesized that self-control, higher socio-economic status, existing health conditions, and fe…
The Relationship between Drug Consumption and Dating App Use
To date, the literature regarding the relationship between drug consumption and dating app use is still very scant and inconclusive. The present study was thus aimed at investigating the association between drug consumption and dating app use in the general population. A total of 1278 Italian respondents completed an online ad hoc questionnaire assessing drug consumption (cannabis versus other illicit drugs), dating app use, the primary motive fo…
The Association between Dating Apps and Alcohol Consumption in an Italian Sample of Active Users, Former Users, and Non-Users
To date, the relationship between alcohol use and dating app use has been investigated mostly in conjunction with sexual activities and in homosexual men. For this reason, the aim of this study was to explore the association between dating app use and alcohol consumption among the general population. A cross-sectional study was conducted including app users, non-users, and former users: 1278 respondents completed an online ad hoc questionnaire as…
Detecting deception through facial expressions in a dataset of videotaped interviews
Psychological Distress Related to the Covid-19 Pandemic
The COVID-19 outbreak and the worldwide lockdown measures had an impact on the global mental health and psychological well-being of the general population. Several studies attempted to investigate the protective and risk factors for psychological distress related to the pandemic. However, to date, little is known about the role of hope in this context. The aim of this study was to determine the relationship between hope and psychological distress…
A Step Forward in Identifying Socially Desirable Respondents
Context: In high‐stakes assessments, such as court cases or managerial evaluations, decision‐makers heavily rely on psychological testing. These assessments often play a crucial role in determining important decisions that affect a person’s life and have a significant impact on society. Problem Statement: Research indicates that many psychological assessments are compromised by respondents’ deliberate distortions and inaccurate self‐presentations…
Did You Commit a Crime There? Investigating the Visual Exploration Patterns of Guilty, Innocent, Honest, and Dishonest Subjects When Viewing a Complex Mock Crime Scene
Previous studies with the eye-tracking technology have predominantly tracked eye parameters in response to a single simple stimulus, and have generated interesting - sometimes inconsistent - results in research on deceptive behavior. The present study analyzed visual patterns in response to a complex image, to investigate potential differences in eye fixation between guilty versus innocent, and honest versus dishonest participants. One hundred an…
Behind Nonconsensual Sexting Among Adolescents
Social networks have become integral to adolescent communication, with sexting—defined as the exchange of sexual content—emerging as a common practice. While consensual sexting is often viewed as a form of sexual expression, nonconsensual sexting represents a significant type of digital violence. This study examined the relationship between NCS victimization and perpetration among adolescents and explored the moderating roles of empathy and toxic…
Collaborative Robots Adapting Their Behavior Based on Workers’ Psychological States
Integrating collaborative robots (cobots) in work environments is advancing rapidly, with growing attention to designing systems that can effectively collaborate with humans. A key aspect of this effort is enhancing cobots’ adaptability, that is, their ability to adjust behavior in real time based on workers’ needs and characteristics, particularly their psychological states. Despite increasing research, a synthesis of the most considered psychol…
Sexual Crimes in Metaverse
Metaverse introduces novel challenges in the domain of criminal behavior, particularly concerning sexual abuse. Its defining characteristics—heightened presence, embodiment, anonymity, and decentralization—amplify risks and differentiate it from traditional digital platforms. Unlike conventional internet environments, Metaverse simulates real-life experiences with immersive realism, intensifying cybercrimes' psychological impact and necessitating…
Enhancing shopping experience in augmented reality by customizing product manipulation modalities
In recent years, Augmented Reality (AR) technology has permeated various domains. This paper focuses on the critical aspect of enhancing customer interaction within AR e-commerce environments by investigating the impact of virtual product size manipulation on usability, user experience, and shopping satisfaction. We tested two manipulation modalities: an unconstrained scaling modality, enabling users to manually adjust product dimensions, and an …
Investigating the truthfulness of autobiographical events through mouse dynamics
This study examines the kinematic characteristics of mouse movements as a means to assess the truthfulness of reported autobiographical memories. Ninety participants answered double-choice questions about an autobiographical event using a computer mouse. To induce cognitive load in deceptive responses, complex questions were introduced. Participants were divided into three groups: truthful responders (n = 30), those instructed to fabricate an ent…
Detecting Deception Through Linguistic Cues
Detecting deception in interpersonal communication is a pivotal issue in social psychology, with significant implications for court and criminal proceedings. In this study, four experiments were designed to compare the performance of natural language processing (NLP) techniques and human judges in detecting deception from linguistic cues in a dataset of 62 transcriptions of video-taped interviews (32 genuine and 30 deceptive). The results showed …
Digital Relationality and Emotional Well‐Being
This integrative review examines how digitally mediated relational practices shape emotional well‐being in contemporary societies, synthesizing research published between 2015 and 2025. Focusing on six interrelated constructs—digital empathy, narcissism, loneliness, ghosting, online friendship dynamics, and emotion regulation—the review draws on a final corpus of 100 peer‐reviewed studies indexed in Scopus and Web of Science. The evidence shows t…
Can LLM‐Generated, Personalized Social Media Messages Reduce Stigma Toward Individuals With Mental Health Problems? A Randomized Experimental Study
Objectives The primary aim of this study was to evaluate whether LLM‐generated, personalized social media messages were more effective than a standard control message in reducing public stigma toward individuals with mental health problems. Methods An experiment was conducted with an online convenience sample of 560 Australian adults. Participants were randomized to view either a standard control message of a person′s public disclosure of depress…
Virtual and Augmented Reality in Sensory Marketing
This review is intended to provide an up‐to‐date overview of sensory marketing research exploiting virtual and augmented reality technologies in the retail scenario. The five senses play a fundamental role in the purchasing experience, and the lack of multisensorial interaction with the product is one of the factors that prevent e‐commerce from becoming the first choice of customers, especially for certain categories of products. Virtual and augm…
Psychology (19 obras) · Social Psychology (10 obras) · Computer Science (9 obras) · Medicine (9 obras) · Deception detection and forensic psychology (8 obras) · Psychiatry (7 obras) · Clinical Psychology (6 obras) · Deception (6 obras) · Clinical Psychology (5 obras) · Environmental health (5 obras)