scholarly journals Emotion Contagion Model for Crowds

2015 ◽  
Vol 6 (2) ◽  
pp. 1
Author(s):  
Amyr Borges Fortes Neto ◽  
Soraia Raupp Musse ◽  
Catherine Pelachaud
Keyword(s):  
Human Behavior ◽  
Simulation Models ◽  
Crowd Simulation ◽  
Behavior Patterns ◽  
Virtual Agents ◽  
Contagion Model ◽  
Realistic Perception ◽  
Emotion Contagion ◽  
Psychological Studies

Latest advances in crowd simulation models that attempt to make agents with more realistic human-like behaviors explore heterogeneity of agent behaviors in order to achieve increased overall simulation realism. In general, human behavioral and psychological studies are used as base of knowledge and researchers try to simulate observed human behavior patterns within virtual agents. In this direction, this paper implements an emotion contagion model, within crowd simulation scenarios, in order to create realistic perception of agent behaviors on crowds.

scholarly journals Editor’s Note

2015 ◽  
Vol 6 (2) ◽  
pp. 1
Author(s):  
Alberto Raposo
Keyword(s):  
Augmented Reality ◽  
Academic Community ◽  
Interactive Systems ◽  
Special Issue ◽  
Contagion Model ◽  
Virtual And Augmented Reality ◽  
Realistic Perception ◽  
Emotion Contagion ◽  
Contagion Process

The SBC Journal on Interactive Systems (JIS) has been integrated to the Brazilian academic community in the areas of Virtual and Augmented Reality since the beginning. Since 2010 JIS has published special issues with extended versions of selected papers from SVR - Symposium on Virtual and Augmented Reality, the premier conference in Brazil covering these areas. The year of 2015 could not be different. For the 6th year, I am glad to announce JIS special issue on SVR.This issue contains extended versions of four papers selected among the best full papers of SVR 2015 – XVII Symposium on Virtual and Augmented Reality. I would like to thank Judith Kelner and Eduardo Albuquerque for their dedication as guest editors in this special issue, and invite you to read their editorial in the following.We also have in this issue an original paper by Amyr Borges Fortes Neto, Soraia Raupp Musse, and Catherine Pelachaud, entitled “Emotion Contagion Model for Crowds”. In this paper, the authors use a computational model for emotion contagion process in the context of crowd simulation to create realistic perception of agent behaviors on crowds.I also would like to thank the authors and reviewers that contributed to this issue of JIS, and I hope it fulfills your expectations. JIS Editorial Board is looking forward to receiving your contributions in areas related to Virtual and Augmented Reality, Games, and/or Human-Computer Interaction.

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.

The Delimitation and Mensurability of Political Phenomena

1927 ◽  
Vol 21 (2) ◽  
pp. 255-269 ◽  
Author(s):  
George E. G. Catlin
Keyword(s):  
Human Behavior ◽  
Political Action ◽  
General Situation ◽  
Behavior Patterns ◽  
Party Organization ◽  
Human Environment ◽  
Psychological Study ◽  
Or Groups ◽  
Stage Properties ◽  
Physical Phenomena

Political science is not a sociological science of everything, a psychological study of all human behavior in all aspects, an anthropological inquiry into miscellaneous human customs, or a philosophy of history. Still less is it a study only of the state, which is a form of social organization resulting from one species of political action, or a study only of governments and the stage properties of law and administration.Politics is concerned with a field of human behavior characterized by the recurrence of specific behavior patterns. These peculiarly political patterns, however, must not be treated simply as a series of incidents in mere temporal juxtaposition. Human history must be studied as natural history and physical phenomena have been studied, that is to say, with a view to the detection of a recurrence in these patterns, and, hence, of a process in accordance with which, in given total situations, given detailed behavior patterns recur. These patterns are “lines of conduct” of an individual or group character, pursued in relation to other individuals or groups, as a matter of human method in dealing with such situations, which situations arise partly from the nature of the non-human environment, partly from the historical combination of human factors. The resultant specific action or behavior recurs with the recurrence of the stimuli of the approximately recurrent situation; for example, a certain general situation known as “the outbreak of hostilities” has certain specific consequences in changes of individual conduct toward members of a given nation, and the need of putting through a domestic policy against opposition brings into play the ever similar methods of party organization.

Delta Approximation: Parameter Identification for Simulation Models of Human Behavior

1975 ◽  
Vol SMC-5 (2) ◽  
pp. 189-201 ◽  
Author(s):  
John L. Mitchiner ◽  
W. Brian Crews ◽  
Kenneth E. F. Watt ◽  
John W. Brewer
Keyword(s):  
Parameter Identification ◽  
Human Behavior ◽  
Simulation Models ◽  
Approximation Parameter

scholarly journals Smart Home System for Energy Saving using Genetic- Fuzzy-Neural Networks Approach

2016 ◽  
Vol 08 (1) ◽  
Keyword(s):  
Neural Networks ◽  
Energy Saving ◽  
Human Behavior ◽  
Smart Home ◽  
Cost Effective ◽  
Fuzzy Neural Networks ◽  
Behavior Patterns ◽  
Power Losses ◽  
Sustainable Improvement ◽  
Fuzzy Neural

Home energy saving is very important to realize sustainable improvement. This can be achieved by designing a smart home system that provides a productive and cost-effective environment through optimization of different factors that will be explained in this paper. In this paper, an adaptive smart home system for optimal utilization of power will be designed. The system is based on genetic-fuzzy-neural networks technique, which can capture a human behavior patterns and use it to predict the user's mood. This technique will improve the intelligence of the smart home control to minimize the power losses.

scholarly journals Aristotelian Moral Psychology and the Situationist Challenge

2015 ◽  
Vol 46 (2) ◽  
pp. 262-277
Author(s):  
Adam M. Croom
Keyword(s):  
Social Psychology ◽  
Moral Psychology ◽  
Human Behavior ◽  
Empirical Data ◽  
Social Life ◽  
Personal Characteristics ◽  
Developmental Science ◽  
Psychological Studies

Abstract For some time now moral psychologists and philosophers have ganged up on Aristotelians, arguing that results from psychological studies on the role of character-based and situation-based influences on human behavior have convincingly shown that situations rather than personal characteristics determine human behavior. In the literature on moral psychology and philosophy this challenge is commonly called the “situationist challenge,” and as Prinz (2009) has previously explained, it has largely been based on results from four salient studies in social psychology, including the studies conducted by Hartshorne and May (1928), Milgram (1963), Isen and Levin (1972), and Darley and Batson (1973). The situationist challenge maintains that each of these studies seriously challenges the plausibility of virtuous personal characteristics by challenging the plausibility of personal characteristics more generally. In this article I undermine the situationist challenge against Aristotelian moral psychology by carefully considering major problems with the conclusions that situationists have drawn from the empirical data, and by further challenging the accuracy of their characterization of the Aristotelian view. In fact I show that when properly understood the Aristotelian view is not only consistent with empirical data from developmental science but can also offer important insights for integrating moral psychology with its biological roots in our natural and social life.

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