Generating Cultural Characters based on Hofstede Dimensions

Dihl, Leandro; Testa, Estevão; Knob, Paulo; Silva, Gabriel L. B. da; Alcântara, Maria Regina; Musse, Soraia Raupp

doi:10.1109/vhcie.2017.7935621

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…Then the next step for this research is to study different protocols of communications between groups, particularly to see the impact of different communication patterns on the inequality. This next step could also implement in populations of agents with a more realistic psychological, structure using synthetic populations reconstruction methods [123][124][125][126][127].…”

Section: Discussionmentioning

confidence: 99%

Can gender inequality be created without inter-group discrimination?

2020

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Understanding human societies requires knowing how they develop gender hierarchies, which are ubiquitous. We test whether a simple agent-based dynamic process could create gender inequality. Relying on evidence of gendered status concerns, self-construals, and cognitive habits, our model included a gender difference in how responsive male-like and female-like agents are to others’ opinions about the level of esteem for someone. We simulate a population who interact in pairs of randomly selected agents to influence each other about their esteem judgments of self and others. Half the agents are more influenced by their relative status rank during the interaction than the others. Without prejudice, stereotypes, segregation, or categorization, our model produces inter-group inequality of self-esteem and status that is stable, consensual, and exhibits characteristics of glass ceiling effects. Outcomes are not affected by relative group size. We discuss implications for group orientation to dominance and individuals’ motivations to exchange.

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Section: Discussionmentioning

confidence: 99%

Can gender inequality be created without inter-group discrimination?

2020

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“…Furthermore, in this analysis, we included papers in cultural and personality aspects. Favaretto et al [27,30] introduce a new method to crowd analysis extracting Hofstede dimensions from video sequences, to later be used in crowd simulation [24]. Durupinar et al [27] propose to parameterize mobs' common properties to create collective behaviors.…”

Section: Crowd Papers From 2015 To 2019: the Era Of Learning Techniquesmentioning

confidence: 99%

A history of crowd simulation: the past, evolution, and new perspectives

2021

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“…Regarding game research area, cultural features can determine behavior of simulated crowds [10,26], character animations [12], or assist in the study of human perception about simulated crowds [2,3,37]. All such cases can be used in serious game contexts to assist psychologists in the analysis of cultural features.…”

Section: Introductionmentioning

confidence: 99%

A Software to Detect OCC Emotion, Big-Five Personality and Hofstede Cultural Dimensions of Pedestrians from Video Sequences

Favaretto,

Araujo,

Musse

et al. 2019

Preprint

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This paper presents a video analysis application to detect personality, emotion and cultural aspects from pedestrians in video sequences, along with a visualizer of features. The proposed model considers a series of characteristics of the pedestrians and the crowd, such as number and size of groups, distances, speeds, among others, and performs the mapping of these characteristics in personalities, emotions and cultural aspects, considering the Cultural Dimensions of Hofstede (HCD), the Big-Five Personality Model (OCEAN) and the OCC Emotional Model. The main hypothesis is that there is a relationship between so-called intrinsic human variables (such as emotion) and the way people behave in space and time. The software was tested in a set of videos from different countries and results seem promising in order to identify these three different levels of psychological traits in the filmed sequences. In addition, the data of the people present in the videos can be seen in a crowd viewer.

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Generating Cultural Characters based on Hofstede Dimensions

Cited by 6 publications

References 7 publications

Can gender inequality be created without inter-group discrimination?

Can gender inequality be created without inter-group discrimination?

A history of crowd simulation: the past, evolution, and new perspectives

A Software to Detect OCC Emotion, Big-Five Personality and Hofstede Cultural Dimensions of Pedestrians from Video Sequences

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