Using group behaviors to detect Hofstede cultural dimensions

Favaretto, Rodolfo Migon; Dihl, Leandro; Barreto, Rodrigo Egydio; Musse, Soraia Raupp

doi:10.1109/icip.2016.7532897

Cited by 20 publications

(30 citation statements)

References 21 publications

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“…Crowd norms. As studies described in other studies 32,33 suggested, cultural differences have an impact on pedestrian behaviors. When simulating the behavior of crowds, including societal effects has a positive impact for generating realistic results.…”

Section: Discussionmentioning

confidence: 59%

“…When the proposed framework is used within a crowd model including personality traits, the shyness parameter can be associated with extraversion or neuroticism levels of the character. Crowd norms . As studies described in other studies suggested, cultural differences have an impact on pedestrian behaviors. When simulating the behavior of crowds, including societal effects has a positive impact for generating realistic results .…”

Section: Discussionmentioning

confidence: 59%

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A group‐based approach for gaze behavior of virtual crowds incorporating personalities

Ağıl

Güdükbay

2018

Computer Animation & Virtual

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Predicting interest points of virtual characters and accurately simulating their gaze behavior play a significant role for realistic crowd simulations. We propose a saliency model that enables virtual agents to produce plausible gaze behavior. The model measures the effects of distinct saliency features implemented by examining the state‐of‐the‐art perception studies. When predicting an agent's interest point, we compute the saliency scores by using a weighted sum function for other agents and environment objects in the field of view of the agent for each frame. Then, we determine the most salient entity for each agent in the scene; thus, agents gain a visual understanding of their environment. Besides, our model introduces new aspects to crowd perception, such as perceiving characters as groups of people and applying social norms on crowd gaze behavior, effects of agent personality on gaze, gaze copy phenomena, and effects of agent velocity on attention. For evaluation, we compare the resulting saliency gaze model with real‐world crowd behavior in captured videos. In the experiments, we simulate the gaze behavior in real crowds. The results show that the proposed approach generates plausible gaze behaviors and is easily adaptable to varying scenarios for virtual crowds.

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Section: Discussionmentioning

confidence: 59%

Section: Discussionmentioning

confidence: 59%

A group‐based approach for gaze behavior of virtual crowds incorporating personalities

Ağıl

Güdükbay

2018

Computer Animation & Virtual

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“…In our method, a cohesion value ζ g is set to define how much a group g tends to stay together, in the interval [0,3], where 0 is the lowest cohesion value and 3 is the highest. This interval was defined according to the work proposed by Favaretto et al…”

Section: The Proposed Approachmentioning

confidence: 99%

“…In our method, a cohesion value g is set to define how much a group g tends to stay together, in the interval [0, 3], where 0 is the lowest cohesion value and 3 is the highest. This interval was defined according to the work proposed by Favaretto et al 18 Furthermore, a cohesion distance value g is defined to represent the maximum distance an agent can be away from the rest of the group g, without leaving it and break the group structure. This cohesion distance is calculated as follows:…”

Section: Simulating Fdmentioning

confidence: 99%

“…Favaretto et al discussed cultural dimensions according to Hofstede analysis and presented a methodology to map data from video sequences to the dimensions of Hofstede cultural dimensions theory and a methodology to extract crowd‐cultural aspects based on the big‐five personality model (or OCEAN [Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism]) . In their work, Favaretto et al proposed a way to map geometrical features (such as speed, angular variation, and distances) from pedestrians tracking to OCEAN dimensions …”

Section: Introductionmentioning

confidence: 99%

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Investigating cultural aspects in the fundamental diagram using convolutional neural networks and virtual agent simulation

Favaretto

Santos²,

Balotin³

et al. 2019

Computer Animation & Virtual

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This paper presents a study, organized in two phases, regarding group behavior in a controlled experiment focused on differences in an important attribute that vary across cultures—personal spaces. First, we want to study and compare the spatial behavior different populations adopt with respect to their personal space. Second, we want to use simulation of virtual agents to artificially generate movements of people in similar situations and validate them using real video sequences. Our main goal is to be able to extract from video sequences and then simulate variations in populations in a coherent way with literature that studies cultural aspects. In addition to the cultural aspects, we also investigate the personality model in the studied videos using OCEAN (Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism). Finally, we propose a way to simulate the fundamental diagram experiment from other countries using the OCEAN psychological trait model as input. Results indicate that the simulated countries have consistent characteristics with the expected literature.

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