Made available in DSpace on 2014-12-17T15:37:22Z (GMT). No. of bitstreams: 1 BiancaTR.pdf: 221009 bytes, checksum: 1221d932d6e83e0c6980f07204dda07f (MD5) Previous issue date: 2007-01-19 / Parental investment increases the offspring s survival, though it decreases the opportunities for the parents to invest in a future progeny. In a broad sense, this investment is directed to one s own descendant, but in some cases, such as in adoption, resources are directed to non-relatives even in the absence of fitness benefits. Once there are many factors involved in adoption, this study investigated adopters candidates, aiming to analyze aspects considered by them for adopting, based on the Evolutionary Psychology s perspective. We analyzed the judicial proceedings? files people who had been inlisted for adoption at the 2? Childhood and Adolescence Law Court, Natal-RN. The adopter s motivations were classified into biological or social reasons. A relationship between adopters? age and kind of motivation was found: requirements of young people were related to biological reasons while requirements of the old ones were related to social reasons. Fertility, mainly female requirer?s fertility, underlie this relationship, considering that women fertility is strongly influenced by age. The reasons to adopt were also related to the age of the desired child, once that people who wanted children older than 25 months alleged social reasons while those that wanted younger babies alleged biological reasons. There are lots of motives to adopt a child, but the phenomenon of adoption is broadly acknowledged by society as an act of love and the adoptive parents are often regarded as kind and generous people. It was observed, instead, that the reasons to adopt comes from the adopters themselves, related to the fulfillment of personal needs, such as increasing the family, carrying out mother/father role or having a company or someone to care form them in elderly age / O investimento que os pais direcionam ? prole aumenta a sua taxa de sobreviv?ncia ao mesmo tempo em que diminui as chances dos pais de investir em futuras proles. Em geral, o investimento ? direcionado ? pr?pria descend?ncia do indiv?duo, mas percebe-se que existe investimento parental mesmo quando n?o h? ganhos em termos de aptid?o, como por exemplo na ado??o, em que recursos s?o dirigidos a n?o aparentados. Considerando que a ado??o envolve v?rios fatores, foi nosso objetivo realizar um estudo com um enfoque nos futuros pais adotivos, buscando investigar os par?metros considerados para ado??o, utilizando como base te?rica a Psicologia Evolucionista. Para isto, analisou-se o arquivo de pessoas cadastradas para ado??o na 2? vara da Inf?ncia e Juventude da Comarca de Natal (RN). As motiva??es dos requerentes ? ado??o puderam ser classificadas em dois grandes grupos: biol?gicas e sociais. Encontrou-se uma rela??o entre o tipo de motiva??o e a idade dos requerentes, sendo o motivo biol?gico relacionado a faixas et?rias mais jovens dos requerentes e o social a faixas et?rias mais velhas. Um dos fatores que permearam esta rela??o foi a fertilidade, sobretudo das requerentes, uma vez que a fertilidade feminina ? fortemente influenciada pela idade. Tamb?m encontrou-se uma rela??o entre o tipo de motivo e a faixa et?ria da crian?a pretendida, em que pessoas que queriam adotar crian?as com mais de 25 meses apresentavam motivos sociais e as que queriam crian?as de 0 a 24 meses apresentavam motivos biol?gicos. As raz?es para adotar foram v?rias, mas esse fen?meno ? enfatizado na sociedade como um ato de amor, e costumeiramente o adotante visto como uma pessoa solid?ria e bondosa. Observou-se, no entanto, que as motiva??es para adotar partem da pr?pria pessoa, considerando a satisfa??o de necessidades pessoais, como exercer o papel materno, paterno ou ambos, ampliar a fam?lia ou ter uma companhia ou algu?m de quem receba cuidados na velhice

Orientador: Siome Klein Goldenstein / Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação / Made available in DSpace on 2018-08-16T21:25:11Z (GMT). No. of bitstreams: 1 Saboia_PriscilaCorrea_M.pdf: 2582894 bytes, checksum: 1645aa6b8b779ee7180adbbb04d23981 (MD5) Previous issue date: 2010 / Resumo: Atualmente, estima-se que a população mundial seja de cerca de seis bilhões e oitocentos milhões de habitantes (6.800.000.000), dos quais metade mora em aglomerados urbanos. Nestes centros, é corriqueiro o fen¿omeno da movimentação de multidões. Tecnicamente, entende-se multidão como um grande grupo de indivíduos em um mesmo ambiente físico, compartilhando um objetivo comum e podendo agir diferentemente do que quando estão sozinhos. Compreender a movimentação destas multidões é de vital import¿ancia para o planejamento e a melhoria dos locais públicos, não só no sentido de facilitar e agilizar o deslocamento dos cidadãos, mas também garantir-lhes segurança, especialmente em condições de perigo iminente, onde pode haver a necessidade de evacuação de tais locais. Além disso, existem várias áreas do conhecimento que têm potencial para se beneficiar do estudo do comportamento de multidões. Na indústria de entretenimento, por exemplo, simulações de multidões podem ser utilizadas na produção de animações e jogos de computador. No treinamento policial e militar, simulações podem ser usadas para demonstração e controle de rebeliões. Na área de engenharia de segurança, simulações podem ser utilizadas para estudo de desocupação emergencial de construções, navios e aviões. Em todas as áreas citadas, observa-se que a necessidade por simulações de multidões advém de duas situações que podem ocorrer no mundo real. Primeiramente, pode ser perigoso para os indivíduos realizar as ações objetivadas (como cair de um prédio em um filme, ou evacuar uma sala de cinema em chamas, por exemplo), bem como é antiético submetê-los a tais condições. Segundo, é muito complexo e oneroso lidar com um grande número de indivíduos no mundo real. Ambas as situações podem ser evitadas pela simulação computacional da situação real. Nestes termos, o objetivo desta dissertação é modelar a movimentação de multidões, tendo em vista a simulação em computador. Para tanto, sistemas multiagentes brownianos são introduzidos como uma alternativa tecnológica 'a implementação dos modelos encontrados na literatura, bem como 'a implementação de um novo modelo de movimentação de multidões, híbrido por reunir conceitos de modelos que lançam mão das chamadas forças sociais, com conceitos de modelos baseados na estratégia Lattice-Gas. Como resultado prático, um novo simulador de sistemas multiagentes construído para a tarefa de simulação de movimentação de multidões é apresentado / Abstract: Currently, it is estimated that world population is about six billion and eight hundred million inhabitants (6.8 billion), of whom half live in urban areas. In these centers, it is common the phenomenon of moving crowds. Technically, a crowd can be seen as a large group of individuals put in the same physical environment, sharing a common goal and acting differently than when they are alone. Understanding the movement of these crowds is very important for planning and improving public places, not only in order to facilitate and expedite the movement of citizens, but also in order to guarantee their safety, especially in conditions of imminent danger, where it can be necessary the evacuation of such sites. Furthermore, there are several areas of knowledge that can gain benefits from the study of crowd behavior. In the entertainment industry, for example, crowd simulations can be used to produce animations and computer games. In Police and military training, simulations can be used for demonstration and control of riots. In the area of safety engineering, simulations can be used to study the urgent evacuation of buildings, ships and aircrafts. In all mentioned areas, it is observed that the need for crowd simulations comes from two situations, taking into consideration the real world. First, it can be dangerous for individuals to perform the desired actions (like falling from a building in a movie, or evacuating the room on fire of a failing movie session). It is also unethical to expose them to such conditions. Second, it is very complex and expensive to handle a large number of individuals in the real world. Both situations can be dealt by simulating the real world into a computer. Thus, this dissertation aims to model the movement of crowds, always having in mind the computer simulation. For this, Brownian multi-agent systems are introduced as a technological alternative to implement the models found in literature, as well as to implement a new hybrid movement model, that gathers together concepts from solutions based on social forces, and solutions based on Lattice- Gas. As a practical result, a new simulator for multi-agent systems is presented, built for the task of simulating moving crowds / Mestrado / Sistemas de Informação / Mestre em Ciência da Computação

Submitted by Joel de Lima Pereira Castro Junior (joelpcastro@uol.com.br) on 2016-09-28T14:43:10Z No. of bitstreams: 1 Alessandra Bellas.pdf: 2237445 bytes, checksum: 0fcd4bfdc85441595e5f2cc7ee5ef123 (MD5) / Approved for entry into archive by Biblioteca de Administração e Ciências Contábeis (bac@ndc.uff.br) on 2016-09-30T16:04:48Z (GMT) No. of bitstreams: 1 Alessandra Bellas.pdf: 2237445 bytes, checksum: 0fcd4bfdc85441595e5f2cc7ee5ef123 (MD5) / Made available in DSpace on 2016-09-30T16:04:48Z (GMT). No. of bitstreams: 1 Alessandra Bellas.pdf: 2237445 bytes, checksum: 0fcd4bfdc85441595e5f2cc7ee5ef123 (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Esta dissertação objetiva verificar as relações existentes entre as percepções de justiça organizacional, especificamente da justiça distributiva, justiça processual e justiça interacional, e as estratégias defensivas utilizadas por funcionários de Instituições bancárias públicas e privadas nos Municípios de Niterói e do Rio de Janeiro. Quanto aos procedimentos metodológicos, a pesquisa teve uma abordagem quanti-qualitativa, de cunho explicativo, descritivo e exploratório, caracterizado pela survey. Os métodos de amostragem foram não probabilísticos, sendo utilizados a amostragem por julgamento e amostragem “bola de neve”. A amostra foi composta por 127 trabalhadores de instituições bancárias públicas e privadas, localizadas nos Municípios de Niterói e Rio de Janeiro, que responderam ao formulário de pesquisa com a escala de percepção de justiça organizacional (EPJO), e destes, sete sujeitos, selecionados a partir da análise de cluster, participantes da entrevista semiestruturada que abordou sobre a justiça organizacional e as estratégias defensivas. Os dados do formulário foram tratados por um conjunto de procedimentos estatísticos, contendo estatística descritiva e análise multivariada de dados com as técnicas de análise fatorial, regressão linear múltipla e análise de cluster. As respostas das entrevistas foram interpretadas com base na Análise de Conteúdo, cuja técnica específica foi a análise categorial. Os principais resultados foram: a percepção de uma justiça organizacional mediana (3,07) nas instituições bancárias, com diferença estatisticamente significativa para a dimensão da justiça procedimental entre público e privado; a confirmação do modelo tridimensional para a justiça organizacional; a validação da justiça organizacional como um fator de segunda ordem; a validação das dimensões da justiça distributiva, justiça procedimental e justiça interacional como escalas múltiplas; o modelo de regressão da justiça organizacional, formado pelas variáveis “gênero”, “tipo de controle”, “tempo de trabalho na empresa” e “escolaridade”, com uma preditibilidade de 4,6% da variância total; a estrutura de parcionamento apontando que um maior número de funcionários das instituições bancárias possui uma percepção menos positiva da justiça organizacional, em detrimento do quantitativo que a percebe como mais justa; as estratégias defensivas, como por exemplo, adequação profissional para bater metas, ligação para os amigos; desligamento do trabalho e transferência de área; e as categorias das estratégias defensivas mais frequentes na comparação entre público e privado, sendo, no setor privado o uso da defesa explorada, fundamentada na negação e no serviço público, a defesa protetora com base na racionalização. Por fim, pode-se afirmar que a maior problemática das organizações bancárias está relacionada à dimensão distributiva, seguida da procedimental e da interacional, e que há indícios de uma relação passível de interpretação entre as dimensões da justiça organizacional e os tipos de estratégias defensivas e suas categorias utilizadas pelos funcionários de instituições bancárias públicas e privadas. / This dissertation aims at verifying the relationships between organizational justice perceptions, specifically of distributive justice, procedural justice and interactional justice, and the defensive strategies used by employees of public and private banking institutions in the cities of Niterói and Rio de Janeiro. The methodology used has a quantitative and qualitative approach, is explanatory, descriptive and exploratory, characterized by the survey. The sampling methods were not probabilistic, trial and "snowball" sampling were used. The sample consisted of 127 employees of public and private bank institutions, located in the cities of Niteroi and Rio de Janeiro, who answered the survey form with the organizational justice perception scale (EPJO), and from these, seven subjects were selected using cluster analysis to participate in a semi-structured interview about organizational justice and defense strategies. Form data was treated by a set of statistical procedures, containing descriptive statistics and multivariate data analysis using factor analysis, multiple and linear regression and cluster analysis. The answers from the interviews were interpreted using Content analysis, more specifically the Categorical analysis technique. The main results were: the perception of a median organizational justice (3.07) in banking institutions, with a statistically significant difference in the extent of procedural fairness between public and private; the confirmation of the three-dimensional model for organizational justice; the validation of organizational justice as a factor of second order; validation of the dimensions of distributive justice, procedural justice, and interactional justice as multiple scales; the regression model of organizational justice, formed by the variables "gender", "type of control", "working time in the company" and "education" with a predictability of 4.6% of the total variance; the partitioning structure in the cluster analysis pointing to a greater number of employees of banking institutions having a less positive perception of organizational justice, at the expense of the majority, who realize it as fairer; defensive strategies, such as professional suiting to achieve goals, calling a friend; disconnection from work and area transfer; and the most common defensive strategies categories when comparing public and private institutions, being, the use of explored defense based on denial and the protective defense based on rationalization, the most common strategies at private and public institutions respectively. Finally, it can be said that the biggest problem of banking organizations is related to the distributive dimension, followed by procedural and interactional, and there is evidence of a relationship, open to interpretation, between the dimensions of organizational justice and the types of defensive strategies and their categories used by the staff of public and private banking institutions.

Orientadores: Leo Pini Magalhães, Soraia Raupp Musse / Acompanha 1 CD-ROM / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-14T12:44:21Z (GMT). No. of bitstreams: 1 Bicho_AlessandrodeLima_D.pdf: 3153035 bytes, checksum: 02699fbfe11ede429a8d387c957cfb0d (MD5) Previous issue date: 2009 / Resumo: Este trabalho apresenta um método para simulação de multidões baseado no algoritmo de colonização do espaço. Este algoritmo foi originalmente proposto para modelar padrões de nervuras em folhas vegetais e de ramificações em árvores. A técnica baseia-se na competição por espaço entre nervuras ou ramificações durante o crescimento vegetal. Adaptado à simulação de multidões, o algoritmo de colonização do espaço visa simular a competição por espaço durante o movimento dos pedestres. Vários comportamentos observados em multidões reais, tais como evitar colisões, variar a velocidade de deslocamento do pedestre em função da densidade populacional e formar vias (lanes) de pedestres, nas quais o pedestre seguirá aquele imediatamente a sua frente, cuja direção e sentido são similares, são propriedades do algoritmo. O modelo de simulação de multidões proposto também caracteriza-se pela simplicidade de implementação, robustez e eficência computacional, permitindo, de acordo com o ambiente de simulação adotado, o controle interativo da multidão simulada. / Abstract: This work presents a method for crowd simulation based on the biologically-motivated space colonization algorithm. This algorithm was originally introduced to model leaf venation patterns and the branching architecture of trees. It operates by simulating the competition for space between growing veins or branches. Adapted to crowd modeling, the space colonization algorithm focuses on the competition for space among moving agents. Several behaviors observed in real crowds, including collision avoidance, relationship of crowd density and speed of agents, and the formation of lanes in which people follow each other, are properties of the algorithm. The proposed crowd modeling method is simple to implement, robust, computationally efficient, and suited to the interactive control of simulated crowds. / Doutorado / Engenharia de Computação / Doutor em Engenharia Elétrica

Mobile devices and online services allow capturing an unprecedented amount of information about human behavior. In this dissertation, I use these new types of data to understand how the built environment affects social life and businesses in cities. In Chapter 1, I provide the first causal evidence that the provision of urban parks promotes opportunities for racially and ethnically diverse encounters. Utilizing a novel dataset featuring individual GPS tracking data for more than 60 thousand Twitter users in the New York metro area, I introduce a measure of racial diversity that captures one's level of exposure to diverse others in places visited daily. My empirical strategy relies on using the variation in the timing of park construction works across the city (that temporarily limit the capacity of said parks) to identify the impact of the effectively accessible parkland area on the individual exposure to racial diversity. My results show that for White and Black/African American residents additional 10 acres of parks within a 5 km radius from home increase individual chances of encounters with the members of other groups by 1 p.p. The effect is sizable: for reference, transitioning from the current state to the random mixing scenario would require a 9 p.p increase in diversity for an average Black or African American individual and a 3.5 p.p increase for an average White person. I also provide evidence to suggest that park accessibility affects the diversity of White and Black residents differently: for parks located closer to home, the effect appears to be more pronounced for Whites than Blacks. Chapter 2, written jointly with Dmitry Sedov, investigates the role of sports facilities in generating consumption spillovers for the local businesses. The construction of sports facilities, which can cost hundreds of millions of dollars, is often subsidized by public sources. In many cases, subsidies are allocated on the premise that sports venues benefit the local economy by bringing new customers to nearby businesses. We pin down the size and the spatial distribution of such spillovers using daily foot traffic data from mobile phones covering major sports league facilities and the surrounding commercial establishments. By employing the fixed effects and the IV estimation strategies, we show that the spillover benefits are heterogeneous across sports and business sectors. We find that 100 baseball stadium visits generate roughly 29 visits to nearby food & accommodation businesses and about 6 visits to local retail establishments. While the estimates for football stadiums are comparable, basketball & hockey arenas do not appear to generate significant spillovers for the surrounding businesses. Using our spillover estimates, we also compute an upper bound on the additional local spending induced by each sample arena. The median value of the additional spending turns out to be substantially smaller than the corresponding median subsidy to sports facilities in our sample. In Chapter 3, I examine the contribution of parks to social ties between neighborhoods in New York City. Although the role of public spaces in facilitating social interactions in cities has been widely discussed by social scientists and urban design scholars, data sets from online social networks present unexplored opportunities to quantify this link on a larger scale. I use data on friendship links between Facebook users across New York City zip codes to show that two neighborhoods with a higher density of green spaces between them are more likely to have stronger social ties. In particular, when controlling for demographic differences and zip-code level fixed effects, I find that a 1 p.p. increase in the percentage of land allocated to parks between two given zip codes is associated with a 1.2% higher chance of online social connection between their residents. Comparing the effects of park density for different types of parks, I further document that the presence of community parks, flagship parks, and playgrounds are all significant predictors of higher social connectedness between zip codes. Notably, the largest estimated effect is for playgrounds, indicating a 33% higher probability of connection per 1 p.p. increase in density.

No description available.

Évaluer un comportement humain c’est évaluer tous les marqueurs traduisant ce comportement (gestes, paroles interactions, etc.). L’observation par un humain de certains marqueurs tels que les expressions faciales, la prosodie ou encore la linguistique, nécessite une formation spécialisée. Pour faciliter l’évaluation du comportement, des échelles indiquant les observations à mener et les conclusions à faire sont employées. Ainsi, automatiser l’évaluation du comportement revient à automatiser l’analyse d’un environnement par le biais de plusieurs capteurs, puis analyser les signaux obtenus afin d’en extraire les marqueurs permettant la déduction du comportement observé. Suite à la variabilité des observations de l’humain lors d’analyses trop spécifiques, de plus en plus d’études emploient ces systèmes automatiques d’observation et d’évaluation du comportement. L’objectif est d’assister l’analyse et l’évaluation humaine en exploitant des systèmes automatiques capables d’extraire des informations difficilement observables pour l’humain. En conséquence, la collaboration entre l’humain et les systèmes informatiques permet d’analyser plus d’éléments du comportement de manière fiable et objective. Cette thèse propose une approche de l’analyse du comportement s’appuyant sur la collaboration entre l’humain et un système automatique. Nous avons mis en place une plate-forme électronique et informatique composée d’un robot mobile et d’un système ambiant afin d’évaluer le comportement humain. Cette plate-forme se définie comme étant : — Modulaire à l’ajout ou le retrait de capteurs : L’ajout et la suppression de capteurs est faisable sans qu’un système ne soit impacté autrement que sur ses performances à reconnaître précisément les comportements; — Accessible à la lecture des données enregistrées : L’utilisation d’ontologies, en tant que base de données sémantiques et logiques, rend la plate-forme utilisable et accessible aux personnes non familiarisées aux systèmes informatiques complexes; — Robuste aux ambiguïtés : Chaque système de la plate-forme (ambiant ou robot) est indépendant et a sa propre représentation de l’environnement. Cependant, ils collaborent entre eux pour répondre aux incohérences ou aux manques d’informations durant l’accomplissement d’une tâche. A partir de la plate-forme présentée précédemment, nous analysons et mesurons la qualité de l’interaction entre un patient et un soignant lors d’une prise de sang réalisée en conditions habituelles. Pour cela, nous utilisons deux méthodes de renseignement des échelles : par un observateur présent lors du soin et par une étude de l’enregistrement vidéo réalisé durant le soin par la plate-forme. Nous émettons l’hypothèse que la présence d’un système automatique d’aide au diagnostic lors de l’analyse des vidéos enregistrées limite la complexité de l’évaluation du comportement et améliore l’objectivité de l’analyse. / To evaluate a human behavior is equivalent to evaluate all the markers translating this behavior (gestures, lyrics interactions, etc.). The observation by a human of certain markers such as facial expressions, prosody or linguistics, requires specialized training. To facilitate the assessment of behavior, scales indicating the observations to be made and the conclusions to be made are used. Thus, automating the evaluation of the behavior amounts to automate the analysis of an environment by means of several sensors, then analyzing the signals obtained in order to extract the markers allowing the deduction of the observed behavior. Due to the variability of human observations in overly specific analyzes, more and more studies are using thes automatic observation and behavioral evaluation systems. The objective is to assist human analysis and evaluation by exploiting automatic systems capable of extracting information that is difficult to observe for humans. As a result, the collaboration between the human and the computer systems makes it possible to analyze more elements of the behavior in a reliable and objective way. This thesis proposes an approach of behavior analysis based on the collaboration between humans and an automatic system. We set up an electronic and computer platform consisting of a mobile robot and an ambient system to evaluate human behavior. This platform is defined as: — Modular to the addition or removal of sensors: The addition and removal of sensors is feasible without a system is impacted otherwise than its performance to accurately recognize behaviors; — Accessible to Reading Recorded Data: The use of ontologies, as a semantic and logical database, makes the platform usable and accessible to people unfamiliar With complex computer systems; — Robust to ambiguities: every platform system (ambient or robot) is independent and has its own representation of the environment. However, they collaborate With each Other to respond to inconsistencies or lack of information during the performance of a task.

Context-based Reasoning (CxBR) and Contextual Graphs (CxGs) involve the modeling of human behavior in autonomous and decision-support situations in which optimal human decision-making is of utmost importance. Both formalisms use the notion of contexts to allow the implementation of intelligent agents equipped with a context sensitive knowledge base. However, CxBR uses a set of discrete contexts, implying that models created using CxBR operate within one context at a given time interval. CxGs use a continuous context-based representation for a given problem-solving scenario for decision-support processes. Both formalisms use contexts dynamically by continuously changing between necessary contexts as needed in appropriate instances. This thesis identifies a synergy between these two formalisms by looking into their similarities and differences. It became clear during the research that each paradigm was designed with a very specific family of problems in mind. Thus, CXBR best implements models of autonomous agents in environment, while CxGs is best implemented in a decision support setting that requires the development of decision-making procedures. Cross applications were implemented on each and the results are discussed.

Autonomous robots interacting with humans in a social setting must consider the social-cultural environment when pursuing their objectives. Thus the social robot must perceive and understand the social cultural environment in order to be able to explain and predict the actions of its human interaction partners. This dissertation contributes to the emerging field of human-robot interaction for social robots in the following ways: 1. We used the social calculus technique based on culture sanctioned social metrics (CSSMs) to quantify, analyze and predict the behavior of the robot, human soldiers and the public perception in the Market Patrol peacekeeping scenario. 2. We validated the results of the Market Patrol scenario by comparing the predicted values with the judgment of a large group of human observers cognizant of the modeled culture. 3. We modeled the movement of a socially aware mobile robot in a dense crowds, using the concept of a micro-conflict to represent the challenge of giving or not giving way to pedestrians. 4. We developed an approach for the robot behavior in micro-conflicts based on the psychological observation that human opponents will use a consistent strategy. For this, the mobile robot classifies the opponent strategy reflected by the personality and social status of the person and chooses an appropriate counter-strategy that takes into account the urgency of the robots' mission. 5. We developed an alternative approach for the resolution of micro-conflicts based on the imitation of the behavior of the human agent. This approach aims to make the behavior of an autonomous robot closely resemble that of a remotely operated one.

<p>  </p> <p>Human error is one of the most prominent challenges facing cybersecurity today. Attackers manipulate people's natural inclination to make mistakes using social engineering tactics to exploit psychological vulnerabilities, gain trust, and access sensitive information. Trust plays a critical role in human interaction, both in the physical and digital realms, making it an attractive target for attackers. However, cultural backgrounds, which reflect individual and societal beliefs and values, are often overlooked in cybersecurity risk assessments, despite significantly influencing human behavior. This study was conducted to investigate the relationship between trust and cybersecurity risks across diverse cultural groups. The study's findings could provide valuable insights into addressing and preventing human-related vulnerabilities by enhancing overall cybersecurity measures and examining cross-cultural differences in human behavior and their impact on cybersecurity risks. As human factors in cybersecurity become increasingly crucial, this study was performed to understand the differences in risky cybersecurity behaviors among various cultural groups and investigate the impact of different perceptions of trust on engaging in risky behaviors. The outcome of this research provides insights into the critical role cultural backgrounds play in shaping human behavior in the context of cybersecurity. The results of this study may have significant implications for enhancing overall cybersecurity measures by identifying and addressing human-related vulnerabilities that may be unique to specific cultural groups.</p>