Formalization of Computational Human Behavior Models for Contextual Persuasive Technology

2016 ◽  
pp. 150-161 ◽  
Author(s):  
Tylar Murray ◽  
Eric Hekler ◽  
Donna Spruijt-Metz ◽  
Daniel E. Rivera ◽  
Andrew Raij
Keyword(s):  
Human Behavior ◽  
Persuasive Technology ◽  
Behavior Models

A Language for Modeling Cultural Norms, Biases and Stereotypes for Human Behavior Models

2008 ◽  
Author(s):  
Steven Solomon ◽  
Michael van Lent ◽  
Mark Core ◽  
Paul Carpenter ◽  
Milton Rosenberg
Keyword(s):  
Human Behavior ◽  
Cultural Norms ◽  
Behavior Models

scholarly journals Simulating earthquake evacuation using human behavior models

2017 ◽  
Vol 46 (6) ◽  
pp. 985-1002 ◽  
Author(s):  
Gian Paolo Cimellaro ◽  
Fabrizio Ozzello ◽  
Alessio Vallero ◽  
Stephen Mahin ◽  
Benshun Shao
Keyword(s):  
Human Behavior ◽  
Behavior Models

Leveraging human behavior models to predict paths in indoor environments

2011 ◽  
Vol 7 (3) ◽  
pp. 319-330 ◽  
Author(s):  
Bulent Tastan ◽  
Gita Sukthankar
Keyword(s):  
Human Behavior ◽  
Indoor Environments ◽  
Behavior Models

Detecting Human Behavior Models From Multimodal Observation in a Smart Home

2009 ◽  
Vol 6 (4) ◽  
pp. 588-597 ◽  
Author(s):  
O. Brdiczka ◽  
M. Langet ◽  
J. Maisonnasse ◽  
J.L. Crowley
Keyword(s):  
Human Behavior ◽  
Smart Home ◽  
Behavior Models

2P1-M10 Generation of human behavior models is based on the transition relations of between the HMMs and statistical processes

2015 ◽  
Vol 2015 (0) ◽  
pp. _2P1-M10_1-_2P1-M10_3
Author(s):  
Kae Doki ◽  
Takahiro Hirai ◽  
Takashi Hattori ◽  
Shinji Doki ◽  
Yuki Funabora ◽  
...  
Keyword(s):  
Human Behavior ◽  
Behavior Models

Massive Multiagent-Based Urban Traffic Simulation with Fine-Grained Behavior Models

2011 ◽  
Vol 15 (2) ◽  
pp. 233-239 ◽  
Author(s):  
Hiromitsu Hattori ◽  
◽  
Yuu Nakajima ◽  
Shohei Yamane
Keyword(s):  
Human Behavior ◽  
Large Scale ◽  
Urban Traffic ◽  
Social Experiment ◽  
Research Directions ◽  
Fine Grained ◽  
Design And Implementation ◽  
Behavior Models ◽  
Large Scale Simulations ◽  
Traffic Simulations

As it is getting easier to obtain reams of data on human behavior via ubiquitous devices, it is becoming obvious that we must work on two conflicting research directions for realizing multiagent-based social simulations; creating large-scale simulations and elaborating fine-scale human behavior models. The challenge in this paper is to achievemassively urban traffic simulations with fine-grained levels of driving behavior. Toward our objective, we show the design and implementation of a multiagent-based simulation platform, that enables us to execute massive but sophisticated multiagent traffic simulations. We show the capability of the developed platform to reproduce the urban traffic with a social experiment scenario. We investigate its potential to analyze the traffic from both macroscopic and microscopic viewpoints.

Obesity Epidemic Simulation Based on Behavioral Models and Intelligent Agents

2013 ◽  
Vol 1 (2) ◽  
pp. 96-114
Author(s):  
Marina Massei ◽  
Alberto Tremori ◽  
Vera Novak ◽  
Simonluca Poggi ◽  
Christian Bartolucci ◽  
...  
Keyword(s):  
Human Behavior ◽  
Intelligent Agents ◽  
Research Work ◽  
Simulation Models ◽  
Obesity Prevalence ◽  
Behavioral Models ◽  
Obesity Epidemic ◽  
Cultural Conditions ◽  
Computer Generated Forces ◽  
Behavior Models

This research work is aimed at proposing a simulation model based on Intelligent Agents devoted to reproduce human behavior influence over the evolution and impact of obesity epidemics. Indeed, obesity is a real big problem for both USA and European countries, so it is necessary to take under control this phenomenon and, above all, to support Agencies and Nations with simulation models in order to promote specific actions, to guarantee population healthy and to reduce the related social costs. To this end, taking advantage of previous experiences on Human Behavior Models, a Library including Intelligent Agents for Computer Generated Forces (IA-CGF Libraries) has been developed. This library is conceived to reproduce complex scenarios with particular attention to non-conventional frameworks on the progression of obesity epidemics in the world where human behaviors play a crucial role. As for the simulation models test, calibration and validation, two scenarios with different underlying social and cultural conditions have been considered and compared, namely: Italy (obesity prevalence ~10%) and U.S.A. (obesity prevalence ~35%). This way, it has been possible to gain fruitful insights about how simulation models evolve over different social and cultural conditions in different countries.

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