Analysis and Simulation of Group Behavior Using a Dynamic Sphere of Influence

2005 ◽  
Vol 9 (2) ◽  
pp. 159-165 ◽  
Author(s):  
Tsuyoshi Taki ◽  
◽  
Junichi Hasegawa
Keyword(s):  
Human Behavior ◽  
Basic Concept ◽  
Personal Space ◽  
Group Behavior ◽  
Crowd Simulation ◽  
Behavior Model ◽  
Spatial Feature ◽  
Sphere Of Influence

To evaluate or predict human behavior, extraction of characteristic patterns from actual crowd scenes and crowd simulation in different situations based on general human behavior model are needed. We use changes in a spatial feature formed by individual movement called a "dominant region", a type of dynamic personal space. In the paper, a basic concept and calculation of the dominant region and its applications are presented. Experiments show that the proposed feature is useful in evaluating and simulating human behavior.

scholarly journals INFRASTRUCTURE OF LOGISTIC WALKING FLOWS IN THE CONTEXT OF THE PUSH I PULL CONCEPT

2021 ◽  
Author(s):  
Lubov Lipych ◽  
Oksana Khilukha ◽  
Myroslava Kushnir
Keyword(s):  
Personal Space ◽  
Group Behavior ◽  
Transport Processes ◽  
Social Characteristics ◽  
Cultural Norms ◽  
Pull System ◽  
Safety Issues ◽  
Current State ◽  
Pedestrian Traffic ◽  
The Impact

Due to the limited safety of pedestrians, as well as the ability to direct their movement according to the established infrastructure, the analysis of the impact of factors consistent with the concept of push/pull, seems justified and useful. The aim of the article is to try to apply the concepts of push / pull in terms of the impact of logistics infrastructure on the nature of pedestrian traffic. The components of the logistics infrastructure related to the movement of the population are public roads, roads of cities and other settlements, departmental (technological) roads, roads in private areas, providing access to external and internal vehicles and passengers. The nature of pedestrian traffic is determined by the decision-making process of a certain person when moving along a certain route. It is proved that the form and result of this process are influenced by psychological and social mechanisms. It is established the main psychological and social characteristics of pedestrian traffic: maintaining personal space, as a result of which people prefer to «move for», keeping a distance of ten or several tens of centimeters; avoidance of direct impact of discomfort (psychological and physical), ie «movement from» different intensities, depending on the scale of the projected threat; minimization of efforts that cause «movement against» the shortest way; conformism (tendency to succumb to group behavior and attitude to novelty, different levels of which determine belonging to groups of innovators, early followers, early majority, late majority and conservatives); cultural norms (modification of behavior based on the influence of learned principles). The article presents models of simple situations of pedestrian traffic, which in practice demonstrate the influence of determinants of push/pull factors. It is substantiated that simulation of pedestrian traffic allows to increase its safety. Pedestrian safety issues are particularly important due to the high risk of accidents and their impact on other transport processes. However, the current state of knowledge about the determinants of the push / pull system does not yet allow such a free and comprehensive modeling.

scholarly journals APPLYING CONSUMER BEHAVIOR MODEL TO THE STUFF LABOR MOTIVATION

2021 ◽  
pp. 44-49
Author(s):  
S. I. Dobrydnev ◽  
T. S. Dobrydneva
Keyword(s):  
Consumer Behavior ◽  
Human Behavior ◽  
Stimulus Selection ◽  
Behavior Model ◽  
Methodological Feature ◽  
Building Models ◽  
Type Definition ◽  
Emotional Aspects ◽  
Definition Of ◽  
Motivation Model

The article appeals to the problem of designing motivation model for the labor behavior of company stuff. Human behavior is one of the key areas of research in many fields of knowledge. The main forms of human behavior in economics are consumer and labor behavior. For each of them, extensive theoretical and practical material has been developed, a significant variety of behaviors has been proposed. Moreover, in the absence of general models of human behavior that would be applicable in any field of his activity, each science develops its own methodological apparatus and builds models based on its own approaches. Models of consumer behavior describe a clearly defined object (purchasing act), are specific and practically oriented. Patterns of labour behaviour are more general and relate to conduct in general, but not to a specific act of activity. The article attempts to apply the principles of building models of consumer behavior to modeling labor behavior. The model of type “Definition of target actions — Stimulus selection — Information and desire — Choice and location — Check and preference — Confirmation and relation” is proposed. The content of these stages for the task of changing labor behavior is shown. A methodological feature of the model is the isolation of rational and emotional aspects in some elements of labor behavior.

scholarly journals Investigating cultural aspects in the fundamental diagram using convolutional neural networks

2018 ◽  
Author(s):  
Rodolfo Migon Favaretto ◽  
Roberto Rosa dos Santos ◽  
Soraia Raupp Musse ◽  
Felipe Vilanova ◽  
Ângelo Brandelli Costa
Keyword(s):  
Neural Networks ◽  
Cultural Differences ◽  
Convolutional Neural Networks ◽  
Personal Space ◽  
Group Behavior ◽  
Video Sequences ◽  
Relevant Feature ◽  
Fundamental Diagram ◽  
Cultural Aspects ◽  
Neighbor Relation

AbstractThis paper presents a study regarding group behavior in a controlled experiment focused on differences in an important attribute that vary across cultures - the personal spaces - in two Countries: Brazil and Germany. In order to coherently compare Germany and Brazil evolutions with same population applying same task, we performed the pedestrian Fundamental Diagram experiment in Brazil, as performed in Germany. We use convolutional neural networks to detect and track people in video sequences. With this data, we use Voronoi Diagrams to find out the neighbor relation among people and then compute the walking distances to find out the personal spaces. Based on personal spaces analyses, we found out that people behavior is more similar in high dense populations. So, we focused our study on cultural differences between the two Countries in low and medium densities. Results indicate that personal space analyses can be a relevant feature in order to understand cultural aspects in video sequences even when compared with data from self-reported questionnaires.

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