Waldir M. Sampaio

Waldir M. Sampaio
Mackenzie Presbyterian University | Mackenzie · Centro de Ciências Biológicas e da Saúde (CCBS)

Master of Science
PhD Student

About

25
Publications
19,300
Reads
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507
Citations
Introduction
PhD student at the Social and Cognitive Neuroscience Laboratory at Mackenzie University. Conducts research on neural basis of human prosocial behavior using functional Near-Infrared Spectroscopy (fNIRS).
Additional affiliations
January 2018 - December 2019
Federal University of São Carlos
Position
  • Master's Student

Publications

Publications (25)
Article
Categorization and the emergence of symbolic relations are two processes that together play an important role in cognition and language. However, few experimental studies have directly tested the possibility of teaching representational relations with complex symbols, such as paintings. To test this possibility, the present study investigated the e...
Preprint
Full-text available
Over the last ten years, Oosterhof and Todorov’s valence-dominance model has emerged as the most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions (valence and dominance) underpin social judgments of faces. Because this model has primarily been developed and tested in Western regions, it is unclear w...
Preprint
Full-text available
According to the Justified True Belief (JTB) account of knowledge, a person’s ability to know something is defined by having a belief that is both justified and true (i.e., knowledge is justified true belief). However, this account fails to consider the role of luck. In 1963, Gettier argued that JTB is insufficient because it does not account for c...
Preprint
Full-text available
This study investigates the neural correlates of identity and reputation processing in cooperative decision-making during the Public Goods Game (PGG). Using functional near-infrared spectroscopy (fNIRS), we examined how different types of social information—co-player facial photos, reputational scores, and a combination of both—influence activity i...
Preprint
Full-text available
Group heterogeneity is often thought to hinder cooperation and public goods provision,but it’s unclear which differences matter most or if all diversity reduces cooperation.This study examines whether two core mechanisms of cooperation—reputation andreciprocity—operate differently in groups with varying gender, race, and agecompositions. Across thr...
Article
Full-text available
According to the justified true belief (JTB) account of knowledge, people can truly know something only if they have a belief that is both justified and true (i.e., knowledge is JTB). This account was challenged by Gettier, who argued that JTB does not explain knowledge attributions in certain situations, later called “Gettier-type cases,” wherein...
Article
Full-text available
Players’ identity and their reputation are known to influence cooperation in economic games, but little is known about how they interact. Our study aimed to understand how presenting pre-programmed co-players’ identities (face photos; names) along with their previous cooperation history (reputation) could influence participants’ cooperative decisio...
Article
Full-text available
Understanding what factors are linked to public health behavior in a global pandemic is critical to mobilizing an effective public health response. Although public policy and health messages are often framed through the lens of individual benefit, many of the behavioral strategies needed to combat a pandemic require individual sacrifices to benefit...
Article
Full-text available
The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behaviour change. To help scholars better understand the social and moral psychology behind public...
Preprint
Full-text available
Players’ identity and their reputation are known to influence cooperation in economic games, but littleis known about how they interact. Our study aimed to understand how presenting pre-programmedco-players’ identities (face photos; names) along with their previous cooperation history (reputation)could influence participants’ cooperative decisions...
Article
Full-text available
At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied ma...
Preprint
Full-text available
The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behavior change. To help scholars better understand the social and moral psychology behind public h...
Article
Full-text available
Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and str...
Article
Full-text available
Background The emergent categorization involving paintings by renowned painters and their corresponding names was demonstrated by previous studies. However, the results of these studies suggest that the colors of the pictures may have played a preponderant role, obscuring other aspects of the stimuli that could be more directly related to the style...
Conference Paper
Full-text available
A Computação Afetiva é o estudo de como os computadores podem reconhecer, interpretar e simular os afetos humanos. A Análise de Sentimento é uma tarefa comum em PLN, mas se concentra apenas na valência da emoção (positiva, negativa, neutra). Uma abordagem emergente é o Reconhecimento de Emoção, que depende de uma classificação refinada. Nesta pesqu...
Preprint
Full-text available
Affective Computing is the study of how computers can recognize, interpret and simulate human affects. Sentiment Analysis is a common task in NLP related to this topic, but it focuses only on emotion valence (positive, negative, neutral). An emerging approach in NLP is Emotion Recognition, which relies on fined-grained classification. This research...
Article
Full-text available
Over the past 10 years, Oosterhof and Todorov’s valence–dominance model has emerged as the most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions (valence and dominance) underpin social judgements of faces. Because this model has primarily been developed and tested in Western regions, it is unclear w...
Preprint
Full-text available
The ongoing COVID-19 pandemic is a devastating global health crisis. Without a vaccine or effective medication, the best hope for mitigating virus transmission is collective behavior change and support for public health interventions (e.g., physical distancing, physical hygiene, and endorsement of health policies). In a large-scale international co...
Preprint
The ongoing COVID-19 pandemic is a devastating global health crisis. Without a vaccine or effective medication, the best hope for mitigating virus transmission is collective behavior change and support for public health interventions (e.g., physical distancing, physical hygiene, and endorsement of health policies). In a large-scale international co...

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