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Journal articles on the topic 'Human behavior modelling'

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1

Wei, Lan, Chao Yang Zhao, and Wei Feng Yuan. "Modelling of the Human Behavior in Evacuation." Applied Mechanics and Materials 580-583 (July 2014): 2663–66. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.2663.

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Emergency evacuation is an important issue in fire safety. In this study, a cellular automaton (CA) model in which the human behaviour termed ‘flow with the stream’ is considered is proposed to simulate the procedure of emergency evacuation. Based on the CA model, the influence of the number of guiders to the evacuation from a large compartment is analyzed through numerical test. The result shows that the proposed CA model is a promising tool that may be used in fire safety design.
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Ивашов, А., A. Ivashov, Ю. Мандра, J. Mandra, Д. Зайцев, and D. Zaytsev. "Modelling of human teeth deformation behaviour after restoration." Actual problems in dentistry 12, no. 2 (July 26, 2016): 19–23. http://dx.doi.org/10.18481/2077-7566-2016-12-2-19-23.

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<p class="p1"><span class="s1">In the work the ef cacy of the adhesive dental restoration with different composites at monoaxial compression is tested. Deformation behavior of composite materials (SDR, Filtek P60, Filtek Ultimate Flowable, Filtek Ultimate) is compared in adhesive recording to a dentine at monoaxial compression. It is shown that mechanical properties of the composite materials are different because of their properties, but it is possible to predict their behavior in teeth after composite adhesive restoration. The highlled composites (to Filtek Ultimate and Filtek P60) are closer to dentine mechanical properties whereas the behavior of the lowlled composite materials (SDR and Filtek Ultimate Flowable) signi cantly differs from deformation behavior of a dentine. </span></p>
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Bourantas, Dimitris, and Irene I. Nicandrou. "Modelling post‐acquisition employee behavior: typology and determining factors." Employee Relations 20, no. 1 (February 1, 1998): 73–91. http://dx.doi.org/10.1108/01425459810369841.

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Understanding employee reactions to acquisitions is important in assessing the dynamics of acquisitions and their possible success or failure. Proposes a typology of employee behaviors in acquisitions. Moreover, describes the general framework for studying employee responses, by showing the relationship between the factors contributing to the formation of attitudes which can lead to a certain behavior. Finally, discusses directions for future research regarding human resource issues.
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Sundas Munir. "Cognitive Modelling for User Interface Design in HCI: A Comparative Analysis on Cognitive Models." Lahore Garrison University Research Journal of Computer Science and Information Technology 4, no. 2 (June 25, 2020): 117–29. http://dx.doi.org/10.54692/lgurjcsit.2020.0402138.

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This research aims to elaborate the cognition in the field of human-computer interaction, also acknowledges the cognitive modeling and human behavior processes. Cognitive modeling is a field of Human-Computer Interaction (HCI) which is used to design more efficient human interactive systems. It is used to model the interactive system in such a way that analysts can determine methods that users will interact with the system and also be used to understand the different processes of cognitive human behaviors. Hierarchal task analysis is a task to goal-based model, in which analyst selects the actions and tasks to perform. GOMS is a cognitive knowledge of the human information processing model in HCI that describes the user's cognitive architecture based on four components. The linguistic and grammatical model is a syntactical model in which languages and syntax are designed for the user for system communication in an interactive system. Cognitive human behavior processes are also described to understand the mutual coordination of cognition processes and cognitivemodels in designing an interactive system. Problem-solving is a cognitive process of the human mind to search for a problem and explore the possible solutions for that problem. Decision making is also a cognitive process of human behaviour in which human chooses an action from other alternatives based on certain criteria.
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Supriyanto, Achmad Sani, Vivin Maharani Ekowati, and Sofyan Aldi. "Predicting Modelling of Factors Influencing Innovative Work Behavior." Technium Social Sciences Journal 10 (August 3, 2020): 465–77. http://dx.doi.org/10.47577/tssj.v10i1.1349.

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The hospital success depends on the human resources. Hospital operational system can run well because of human resources support. Therefore, the hospital needs to empower human resources to achieve the organizational goals. One of the solutions is to initiate the Innovative Work Behavior. This study aims to examine the direct effect of work environment on Innovative Work Behavior and the effect of work environment on Innovative Work Behavior through work motivation. This study uses quantitative research. Data analysis uses the PLS (Partial Least Square). The population was all 200 employees or Malang Public Hospital. The sampling technique uses Simple Random Sampling, so the number of samples used is 133 employees. Data was collected by questionnaire. The study results indicated that work environment has a direct effect on Innovative Work Behavior and work environment has a indirect effect on Innovative Work Behavior through work motivation.
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Alrashed, Mohammed, and Jeff Shamma. "Agent Based Modelling and Simulation of Pedestrian Crowds in Panic Situations." Collective Dynamics 5 (August 12, 2020): A100. http://dx.doi.org/10.17815/cd.2020.100.

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The increasing occurrence of panic stampedes during mass events has motivated studying the impact of panic on crowd dynamics. Understanding the collective behaviors of panic stampedes is essential to reducing the risk of deadly crowd disasters. In this work, we use an agent-based formulation to model the collective human behavior in such crowd dynamics. We investigate the impact of panic behavior on crowd dynamics, as a specific form of collective behavior, by introducing a contagious panic parameter. The proposed model describes the intensity and spread of panic through the crowd. The corresponding panic parameter impacts each individual to represent a different variety of behaviors that can be associated with panic situations such as escaping danger, clustering, and pushing. Simulation results show contagious panic and pushing behavior, resulting in a more realistic crowd dynamics model.
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Nasrudin, Na’asah, Hafiszah Ismail, Yusfida Ayu Abdullah, and Nurul Shakila Khalid. "Pedestrian Crossing Behavior Model Based on Human Factor. Case Study: Shah Alam City, Malaysia." Environment-Behaviour Proceedings Journal 5, no. 13 (March 24, 2020): 329–35. http://dx.doi.org/10.21834/e-bpj.v5i13.2109.

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The study aimed to develop models for pedestrian crossings behaviour based on road traffic and human factors. A questionnaire distributed to 663 Shah Alam pedestrians. Respondents were asked to fill out a questionnaire on their perceptions of risks and attitudes concerning walking and road crossings. The modelling analysis showed that there is a significant relationship between the Human Factor and the Crossing Behavior, this study identified two components of the Human Factor that influenced the behaviour of the pedestrian crossing, namely the "risk-taker" and the "rule-follower." Analysis of pedestrian crossings behaviour useful to evaluate the implementation of new pedestrian crossing environments.
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Gridnev, S., Sergey Kurgalin, and Yaroslav Turovskiy. "Artificial neural networks abilities in human behavior and error modelling research." Актуальные направления научных исследований XXI века: теория и практика 3, no. 5 (November 24, 2015): 249–53. http://dx.doi.org/10.12737/16017.

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Takada, Yuji, Taku Naito, and Tetsuo Sawaragi. "Cognitive Causality Modelling for Human Behavior: The Method and Its Applications." IFAC Proceedings Volumes 47, no. 3 (2014): 9864–69. http://dx.doi.org/10.3182/20140824-6-za-1003.02117.

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Zhao, Lu, Nadir Farhi, Yeltsin Valero, and Zoi Christoforou. "Long Short-Time Memory Neural Networks for Human Driving Behavior Modelling." Transportation Research Procedia 72 (2023): 2589–96. http://dx.doi.org/10.1016/j.trpro.2023.11.786.

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Liu, Tingyu, Mengming Xia, Qing Hong, Yifeng Sun, Pei Zhang, Liang Fu, and Ke Chen. "The modelling and application of cross-scale human behavior in realizing the shop-floor digital twin." Digital Twin 1 (December 14, 2021): 11. http://dx.doi.org/10.12688/digitaltwin.17404.1.

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The digital twin shop-floor has received much attention from the manufacturing industry as it is an important way to upgrade the shop-floor digitally and intelligently. As a key part of the shop-floor, humans' high autonomy and uncertainty leads to the difficulty in digital twin modeling of human behavior. Therefore, the modeling system for cross-scale human behavior in digital twin shop-floors was developed, powered by the data fusion of macro-behavior and micro-behavior virtual models. Shop-floor human macro-behavior mainly refers to the role of the human and their real-time position. Shop-floor micro-behavior mainly refers to real-time human limb posture and production behavior at their workstation. In this study, we reviewed and summarized a set of theoretical systems for cross-scale human behavior modeling in digital twin shop-floors. Based on this theoretical system, we then reviewed modeling theory and technology from macro-behavior and micro-behavior aspects to analyze the research status of shop-floor human behavior modeling. Lastly, we discuss and offer opinion on the application of cross-scale human behavior modeling in digital twin shop-floors. Cross-scale human behavior modeling is the key for realizing closed-loop interactive drive of human behavior in digital twin shop-floors.
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Liu, Jianguo. "Integrating ecology with human demography, behavior, and socioeconomics: Needs and approaches." Ecological Modelling 140, no. 1-2 (May 2001): 1–8. http://dx.doi.org/10.1016/s0304-3800(01)00265-4.

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Gualandi, Stefano, and Giuseppe Toscani. "Human behavior and lognormal distribution. A kinetic description." Mathematical Models and Methods in Applied Sciences 29, no. 04 (April 2019): 717–53. http://dx.doi.org/10.1142/s0218202519400049.

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In recent years, it has been increasing evidence that lognormal distributions are widespread in physical and biological sciences, as well as in various phenomena of economics and social sciences. In social sciences, the appearance of lognormal distribution has been noticed, among others, when looking at body weight, and at women’s age at first marriage. Likewise, in economics, lognormal distribution appears when looking at consumption in a western society, at call-center service times, and others. The common feature of these situations, which describe the distribution of a certain people’s hallmark, is the presence of a desired target to be reached by repeated choices. In this paper, we discuss a possible explanation of lognormal distribution forming in human activities by resorting to classical methods of statistical mechanics of multi-agent systems. The microscopic variation of the hallmark around its target value, leading to a linear Fokker–Planck-type equation with lognormal equilibrium density, is built up introducing as main criterion for decision a suitable value function in the spirit of the prospect theory of Kahneman and Twersky.
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Kikidis, Dimitrios, and Athanasios Bibas. "A Clinically Oriented Introduction and Review on Finite Element Models of the Human Cochlea." BioMed Research International 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/975070.

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Due to the inaccessibility of the inner ear, direct in vivo information on cochlear mechanics is difficult to obtain. Mathematical modelling is a promising way to provide insight into the physiology and pathology of the cochlea. Finite element method (FEM) is one of the most popular discrete mathematical modelling techniques, mainly used in engineering that has been increasingly used to model the cochlea and its elements. The aim of this overview is to provide a brief introduction to the use of FEM in modelling and predicting the behavior of the cochlea in normal and pathological conditions. It will focus on methodological issues, modelling assumptions, simulation of clinical scenarios, and pathologies.
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Nikitina, Valentina Sergeevna. "Behavioral modelling of subjects in legal cases-games with imperfect rationality." SHS Web of Conferences 118 (2021): 01011. http://dx.doi.org/10.1051/shsconf/202111801011.

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Game theory, applied in various fields, including in law, studies conflict game models and searches for their formatted solutions, makes it possible to solve many tasks and problems, predict the behaviour of subjects in various situations, thereby explaining the behavior logic of the individuals in conflict of interests. However, human behavior is not always rational (reasonable), moreover, it can be difficult to predict which strategy the player will choose when making his move in the game. In this regard, it is advisable to consider rational behavior as an accepted and reasonable behavior of game participants and irrational behavior as deviant, unpredictable behavior of players, which relies on the internal regulation of a person (beliefs, intuition, creativity, feelings, emotions, etc.) and which studies one of the developing directions of game theory in modern science – evolutionary game theory. The study aims to determine the types of irrational behavior of players, which puts other players in a difficult position and precludes from determining each other’s optimal strategies for mutual benefit and stability, using the example of legal incidents modeling through games with imperfect rationality. The authors believe, that to achieve this goal using the methods of analysis and modeling, the imperfections of rationality can be considered and studied, the types of irrational behavior of players can be defined using the games with imperfect calculation of the game, imperfect information and changes in goals during the game (with a multipersonal representation of the game) and a complete absence of rationality.
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Zaim, Halil, Atif Acikgoz, and Lily Wisker. "Modelling managers’ and subordinates’ ethical behavior on performance." International Journal of Business Governance and Ethics 1, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijbge.2020.10030779.

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Liappas, Nikolaos, José Gabriel Teriús-Padrón, Rebeca Isabel García-Betances, and María Fernanda Cabrera-Umpiérrez. "Advancing Smart Home Awareness—A Conceptual Computational Modelling Framework for the Execution of Daily Activities of People with Alzheimer’s Disease." Sensors 22, no. 1 (December 27, 2021): 166. http://dx.doi.org/10.3390/s22010166.

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Utilizing context-aware tools in smart homes (SH) helps to incorporate higher quality interaction paradigms between the house and specific groups of users such as people with Alzheimer’s disease (AD). One method of delivering these interaction paradigms acceptably and efficiently is through context processing the behavior of the residents within the SH. Predicting human behavior and uncertain events is crucial in the prevention of upcoming missteps and confusion when people with AD perform their daily activities. Modelling human behavior and mental states using cognitive architectures produces computational models capable of replicating real use case scenarios. In this way, SHs can reinforce the execution of daily activities effectively once they acquire adequate awareness about the missteps, interruptions, memory problems, and unpredictable events that can arise during the daily life of a person living with cognitive deterioration. This paper presents a conceptual computational framework for the modelling of daily living activities of people with AD and their progression through different stages of AD. Simulations and initial results demonstrate that it is feasible to effectively estimate and predict common errors and behaviors in the execution of daily activities under specific assessment tests.
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Dufwenberg, Martin, and Georg Kirchsteiger. "Modelling kindness." Journal of Economic Behavior & Organization 167 (November 2019): 228–34. http://dx.doi.org/10.1016/j.jebo.2018.07.014.

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19

Guo, Shumei, Roger M. Siervogel, Alex F. Roche, and Wm Cameron Chumlea. "Mathematical modelling of human growth: A comparative study." American Journal of Human Biology 4, no. 1 (1992): 93–104. http://dx.doi.org/10.1002/ajhb.1310040112.

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CASSINIS, RICCARDO, LAURA MARIA MORELLI, and EPHRAIM NISSAN. "EMULATION OF HUMAN FEELINGS AND BEHAVIORS IN AN ANIMATED ARTWORK." International Journal on Artificial Intelligence Tools 16, no. 02 (April 2007): 291–375. http://dx.doi.org/10.1142/s0218213007003333.

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The behavior of an animated artwork, survivor — a classroom chair which walks, with a dynamics which some viewers find haunting — reflects an attempt to emulate (and suggest to viewers) some feelings and behaviors that are typical of survivors of landmine blasts, learning to use crutches. The artwork itself is intended for sensitizing viewers to the horror experienced by those who survive, and those who do not. The behavior of such a survivor is affected by several factors: some are due to the objective difficulty of using prosthetic legs, and some are due to emotional factors, e.g., fear, "shame" of being in such situation, and pain. The mechanical structure, strongly conditioned by artistic requirements, was combined with a control system that exhibits appropriate behaviors. Behavioral control, a technique developed for the control of mobile robots, was used in survivor, and implemented over a modified version of the traditional Brooks' subsumption architecture. This technique makes it possible to emulate normal locomotion behaviors such as the need of avoiding obstacles and typical animal feelings such as curiosity, hunger, fatigue and fear. We describe the mechanics and viewers' response, and formalize aesthetic response. We briefly survey computer modelling of emotions, robotic art, and biomimetic locomotion in robotics.
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Guo, Xiaomin. "Modelling Discretionary: The Development of Automated Financial Service Industry." International Journal of Economics and Finance 8, no. 12 (November 17, 2016): 44. http://dx.doi.org/10.5539/ijef.v8n12p44.

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This research focuses on modeling the investment manager behavior in investments planning, and explores the trend of the current human-based financial planning industry. In the recent decade, the replacement of human financial service with automated financial solution grows rapidly. This paper provides a model of automated investments procedure to detect the possibility of substituting the human-based portfolio management with a machine-dominated process. The major contribution of this research is the algorithm of discretionary, which is the major obstacle of the machine-based portfolio control. The conclusion of this paper can serve as the logic flow of the investment management program.
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Zanker, Johannes. "Modelling human motion perception II. Beyond Fourier motion stimuli." Naturwissenschaften 81, no. 5 (May 1994): 200–209. http://dx.doi.org/10.1007/bf01138544.

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Zanker, Johannes. "Modelling Human Motion Perception II. Beyond Fourier Motion Stimuli." Naturwissenschaften 81, no. 5 (May 1, 1994): 200–209. http://dx.doi.org/10.1007/s001140050057.

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Rezaei, Sajad, Milad Kalantari Shahijan, Muslim Amin, and Wan Khairuzzaman Wan Ismail. "Determinants of App Stores Continuance Behavior: A PLS Path Modelling Approach." Journal of Internet Commerce 15, no. 4 (October 2016): 408–40. http://dx.doi.org/10.1080/15332861.2016.1256749.

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Ozel, Filiz. "Simulation modeling of human behavior in buildings." SIMULATION 58, no. 6 (June 1992): 377–84. http://dx.doi.org/10.1177/003754979205800604.

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Cakar, Figen, and Umit S. Bititci. "Modelling in the HRM business process." International Journal of Human Resources Development and Management 2, no. 3/4 (2002): 223. http://dx.doi.org/10.1504/ijhrdm.2002.001027.

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Molins-Ruano, P., P. Rodriguez, S. Atrio, and G. M. Sacha. "Modelling experts' behavior with e-valUAM to measure computer science skills." Computers in Human Behavior 61 (August 2016): 378–85. http://dx.doi.org/10.1016/j.chb.2016.03.044.

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Bethge, Johanna, Bruno Morabito, Hannes Rewald, Adil Ahsan, Stephan Sorgatz, and Rolf Findeisen. "Modelling Human Driving Behavior for Constrained Model Predictive Control in Mixed Traffic at Intersections." IFAC-PapersOnLine 53, no. 2 (2020): 14356–62. http://dx.doi.org/10.1016/j.ifacol.2020.12.1387.

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Cross, Christine, Margaret Linehan, and Caroline Murphy. "The unintended consequences of role-modelling behaviour in female career progression." Personnel Review 46, no. 1 (February 6, 2017): 86–99. http://dx.doi.org/10.1108/pr-06-2015-0177.

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Purpose Much of the literature identifies the positive nature of role models in career progression. The purpose of this paper is to take the contrary perspective and explore whether role-modelling behaviour of senior female managers can be unintentionally interpreted as negative, with an associated negative impact on career progression decisions of female managers. Design/methodology/approach To address this issue the authors took a grounded theory approach and 30 in-depth interviews were conducted with female middle-level managers in a wide range of Irish organisations. Findings The results of the interviews illustrate that role-modelling behaviour has the potential to negatively, rather than positively affect female career progression choices. Practical implications The unintended consequences of role-modelling behaviour of senior female managers highlights both the concept of negative role-modelling behaviour and identifies its impact on female managerial career progression. Originality/value This paper offers new insights into the construction of the global role model by introducing two new elements – the realistic role model and the departed role model.
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Semeniuk, Christina A. D., Wolfgang Haider, Andrew Cooper, and Kristina D. Rothley. "A linked model of animal ecology and human behavior for the management of wildlife tourism." Ecological Modelling 221, no. 22 (November 2010): 2699–713. http://dx.doi.org/10.1016/j.ecolmodel.2010.07.018.

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Mascaró, Miquel, Francisco J. Serón, Francisco J. Perales, Javier Varona, and Ramon Mas. "Laughter and smiling facial expression modelling for the generation of virtual affective behavior." PLOS ONE 16, no. 5 (May 12, 2021): e0251057. http://dx.doi.org/10.1371/journal.pone.0251057.

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Laughter and smiling are significant facial expressions used in human to human communication. We present a computational model for the generation of facial expressions associated with laughter and smiling in order to facilitate the synthesis of such facial expressions in virtual characters. In addition, a new method to reproduce these types of laughter is proposed and validated using databases of generic and specific facial smile expressions. In particular, a proprietary database of laugh and smile expressions is also presented. This database lists the different types of classified and generated laughs presented in this work. The generated expressions are validated through a user study with 71 subjects, which concluded that the virtual character expressions built using the presented model are perceptually acceptable in quality and facial expression fidelity. Finally, for generalization purposes, an additional analysis shows that the results are independent of the type of virtual character’s appearance.
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Ficapal-Cusí, Pilar, Mihaela Enache-Zegheru, and Joan Torrent-Sellens. "Linking Perceived Organizational Support, Affective Commitment, and Knowledge Sharing with Prosocial Organizational Behavior of Altruism and Civic Virtue." Sustainability 12, no. 24 (December 9, 2020): 10289. http://dx.doi.org/10.3390/su122410289.

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The study of prosocial organizational behaviors has been receiving increasing attention, due to their relevant contribution to sustainable organizational and personal development. This research proposes and tests a model that tackles the factors that drive two unrewarding extra-role behaviors of individual or organizational citizenship, altruism, and civic virtue, and assesses multiple mediation relationships. The sample data are derived from a questionnaire survey of 1350 Spanish workers and were analyzed using partial least squares structural equations modelling. Research findings reflect the mediating role of knowledge sharing behavior in the relationship between affective commitment and altruism. Moreover, a significant relationship was found between affective commitment and civic virtue, which is stronger under the mediating role of knowledge sharing behavior. Finally, affective commitment plays a mediating role in the relationship between perceived organizational support and knowledge sharing behavior. Implications for sustainable human resource management, practical interventions, and future research recommendations are provided.
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Righetto, L., E. Bertuzzo, R. Casagrandi, M. Gatto, I. Rodriguez-Iturbe, and A. Rinaldo. "Modelling human movement in cholera spreading along fluvial systems." Ecohydrology 4, no. 1 (January 2011): 49–55. http://dx.doi.org/10.1002/eco.122.

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Wang, Jian, Weiguo Song, Hongyang Zheng, and Luciano Telesca. "Temporal scaling behavior of human-caused fires and their connection to relative humidity of the atmosphere." Ecological Modelling 221, no. 1 (January 2010): 85–89. http://dx.doi.org/10.1016/j.ecolmodel.2009.03.007.

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Lee, Jehee, and Kang Hoon Lee. "Precomputing avatar behavior from human motion data." Graphical Models 68, no. 2 (March 2006): 158–74. http://dx.doi.org/10.1016/j.gmod.2005.03.004.

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Getachew Bitew, Birhan, Justin Manango W. Munganga, and Adamu Shitu Hassan. "Mathematical modelling of echinococcosis in human, dogs and sheep with intervention." Journal of Biological Dynamics 16, no. 1 (May 30, 2022): 439–63. http://dx.doi.org/10.1080/17513758.2022.2081368.

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Othman, Nor Azairiah Fatimah, Farsha Farahana Ahmad Izhan, Veera Pandiyan Kaliani Sundram, Muhammad Majid, Syaidatul Zarina Mat Din, Zarina Abdul Munir, and Murni Zarina Mohamed Razali. "Modelling Workplace Ostracism among Workforces amid Pandemic Outbreaks." Information Management and Business Review 15, no. 4(SI)I (November 10, 2023): 86–93. http://dx.doi.org/10.22610/imbr.v15i4(si)i.3579.

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Amid pandemic outbreaks, many jobs that were once thought to be safe are now considered potentially harmful since the virus can be easily spread from one person to another. Albeit vaccination program, the fear of infections at the workplace is still alarming as getting vaccinated is a voluntary act and the virus keeps evolving from time to time. As everyone must keep their working life at risk since social distancing and wearing face masks are no longer being forcefully practiced, people are taking safety precautions into their own hands, leading to changes in ostracized behavior in the workplace. Following the Theory of Protection Motivation, this paper made attempts to conceptually model workplace ostracism to understand why some workforces are changing their behavior towards ostracism during a pandemic outbreak. Towards the end, the findings from this study are expected to contribute towards achieving mentally stable workforces and sustainable human resources.
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Morita, Junya. "Research work in the Applied Cognitive Modelling Lab." Impact 2020, no. 7 (November 30, 2020): 9–11. http://dx.doi.org/10.21820/23987073.2020.7.9.

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Dr Junya Morita is based at the Applied Cognitive Modelling Laboratory (ACML) within the Department of Behavior Informatics at Shizuoka University in Japan. His team is conducting investigations that use computational models in an effort to improve our understanding of human minds and their inner workings. There are currently two directions of study underway at ACML. The first is concerned with theoretical studies of cognitive modelling, where the team try to construct models that explain human minds as computational and algorithmic levels. The second direction of study is the application of computational cognitive models. Morita and his team believe that there are fundamental values within the basic endeavours of cognitive science and are working to prove these values exist and are valid. Current topics of application include education, driving, entertainment, graphic design, language development, web navigation and mental illness.
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Mora, Antonio Miguel, Francisco Aisa, Pablo García-Sánchez, Pedro Ángel Castillo, and Juan Julián Merelo. "Modelling a Human-Like Bot in a First Person Shooter Game." International Journal of Creative Interfaces and Computer Graphics 6, no. 1 (January 2015): 21–37. http://dx.doi.org/10.4018/ijcicg.2015010102.

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Autonomous agents in videogames, usually called bots, have tried to behave as human players from their emergence more than 20 years ago. They normally try to model a part of a human expert player's knowledge with respect to the game, trying to become a competitive opponent or a good partner for other players. This paper presents a deep description of the design of a bot for playing 1 vs. 1 Death Match mode in the first person shooter Unreal Tournament™ 2004 (UT2K4). This bot uses a state-based Artificial Intelligence model which emulates a big part of the behavior/knowledge (actions and tricks) of an expert human player in this mode. This player has participated in international UT2K4 championships. The behavioral engine considers primary and secondary actions, and uses a memory approach. It is based in an auxiliary database for learning about the fighting arena, so it stores weapons and items locations once the bot has discovered them, as a human player would do. This so-called Expert Bot has yielded excellent results, beating the game default bots even in the hardest difficulty, and being a very hard opponent for medium-level human players.
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Dandage, Rahul Vishwanath, Santosh B. Rane, and Shankar S. Mantha. "Modelling human resource dimension of international project risk management." Journal of Global Operations and Strategic Sourcing 14, no. 2 (January 11, 2021): 261–90. http://dx.doi.org/10.1108/jgoss-11-2019-0065.

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Purpose Project risk management (PRM) and human resource management (HRM) are the two critical success factors (CSFs) for international project management. This paper aims to correlate these two CSFs, identify the human resource (HR) barriers, develop a hybrid model for risk management and develop strategies to overcome the HR barriers to effective risk management in international projects. Design/methodology/approach In total, 20 key HR barriers have been identified through a literature survey and verified by project professionals. These HR barriers are ranked according to their ability to trigger other barriers by analysing their interactions using the decision-making trial and evaluation laboratory (DEMATEL) method. Based on Ulrich’s revised model for HR functions, a hybrid framework for international PRM has been proposed. Findings DEMATEL analysis categorized nine barriers as cause barriers and 11 as affected barriers. The “PROJECTS” model proposed for HR strategy development suggests eight strategies to overcome these nine cause barriers. The hybrid PRM framework developed includes the effect of the HR dimension. Research limitations/implications This paper presents the generalized prioritization of HR barriers to international PRM. For a specific international project, the HR barriers and their prioritization may change slightly. The hybrid framework for PRM and the strategy development model suggested are yet to be validated. Originality/value Correlating two CSFs in international project management, i.e. HRM and PRM and ranking the HR barriers using the DEMATEL method is the uniqueness of this research paper. The hybrid framework developed for PRM based on HR functions in Ulrich’s revised model and the proposed new HR strategy development model “PROJECTS” are unique contributions of this paper.
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41

Robertson, Ivan T., Richard Bell, and Golnaz Sadri. "Behaviour Modelling Training: The Effect of Variations in Retention Processes." Personnel Review 20, no. 4 (April 1991): 25–28. http://dx.doi.org/10.1108/eum0000000000795.

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Liao, Chien Hsiang. "Does organizational citizenship behavior add value to human interaction with e-services?" Online Information Review 39, no. 4 (August 10, 2015): 485–504. http://dx.doi.org/10.1108/oir-01-2015-0005.

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Purpose – The purpose of this paper is to examine the causal associations among service innovation/improvement, organisational citizenship behaviour (OCB), and the user-perceived value of e-services. The context of service delivery is particularly based on human interaction in e-service encounters. Design/methodology/approach – In total, 403 respondents from 53 different service departments were selected in this study. To fit the structure between respondents and departments, this study uses hierarchical linear modelling to examine the research model. Findings – The results indicate that service innovation/improvement and the OCB of department staff both positively affect the user-perceived value of e-services. However, the OCB of department staff does not have a moderating effect on the association between service innovation/improvement and the user-perceived value of e-services. Originality/value – Prior studies suggest that the OCB of service employees strongly reinforces customer perceptions of service quality and satisfaction. However, this causal association was proven in the context of face-to-face human interactions. This study is a pioneer study in examining the associations between OCB and human interaction with e-services.
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Kettle, Helen, Petra Louis, Grietje Holtrop, Sylvia H. Duncan, and Harry J. Flint. "Modelling the emergent dynamics and major metabolites of the human colonic microbiota." Environmental Microbiology 17, no. 5 (October 7, 2014): 1615–30. http://dx.doi.org/10.1111/1462-2920.12599.

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Natria, Deri, Samian, and Corina D. Riantoputra. "Employee accountability in Indonesia: The role of formalization, managerial monitoring behavior and perceived competence." PLOS ONE 17, no. 12 (December 16, 2022): e0278330. http://dx.doi.org/10.1371/journal.pone.0278330.

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Accountability is an imperative element of organizations that Human Resource Management establishes as a behavior guideline. It encourages employees to be responsible for decisions and actions they took. Employing Social Cognitive theory, this study aims to investigate the mechanism of how formalization influences employee accountability. We hypothesize that this relationship is mediated by managerial monitoring behavior and perceived competence. Data was collected from 331 employees of a government agency in Indonesia. Structural equation modelling analysis reveals that (1) formalization directly and indirectly influences employee accountability, and its direct effect is higher than its indirect effect, suggesting the importance of formalization system in Human Resource Management; (2) the contribution of perceived competence as a mediator between formalization and employee accountability is higher than the contribution of managerial monitoring behavior, suggesting the importance of micro-foundations of Human Resource research; (3) the relationship between formalization and employee accountability was serially mediated by managerial monitoring behavior, which was preceded by managerial monitoring behavior for task performance and continued by managerial monitoring behavior for interpersonal facilitation This study contributes to international Human Resource Management literature by explaining the mechanism by which formalization affect accountability.
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Aulia, Kusmiati Zulfa, and Lenny Christina Nawangsari. "Effects of Green Human Resource Management and Green Transformational Leadership towards Employee Sustainable Performance through Employee Green Behavior at Mercu Buana University." European Journal of Business and Management Research 8, no. 5 (October 18, 2023): 181–86. http://dx.doi.org/10.24018/ejbmr.2023.8.5.2128.

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This study aims to analyze the effect of green human resource management and green transformational leadership on employee sustainable performance through employee green behavior. This type of research uses a survey method with a quantitative approach. This research was conducted at Mercu Buana University. Sampling using a proportionate stratified random sampling technique with a sample size of 252 people. Data analysis in this study used structural equation modelling (SEM) with partial least square (PLS) software version 3.3.3. The results obtained in this study: (1) Green human resource management has a positive and significant effect on employee sustainable performance; (2) Green transformational leadership has a positive and significant effect on employee sustainable performance; (3) Employee green behavior has a positive and significant effect on employee sustainable performance; (4) Green human resource management has a positive and significant effect on employee green behavior; (5) Green transformational leadership has a positive and significant effect on employee green behavior; (6) Employee green behavior mediates the influence of green human resource management on employee sustainable performance (7) Employee green behavior mediates the influence of green transformational leadership on employee sustainable performance.
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46

Ko, Woo-Ri, Minsu Jang, Jaeyeon Lee, and Jaehong Kim. "AIR-Act2Act: Human–human interaction dataset for teaching non-verbal social behaviors to robots." International Journal of Robotics Research 40, no. 4-5 (January 28, 2021): 691–97. http://dx.doi.org/10.1177/0278364921990671.

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To better interact with users, a social robot should understand the users’ behavior, infer the intention, and respond appropriately. Machine learning is one way of implementing robot intelligence. It provides the ability to automatically learn and improve from experience instead of explicitly telling the robot what to do. Social skills can also be learned through watching human–human interaction videos. However, human–human interaction datasets are relatively scarce to learn interactions that occur in various situations. Moreover, we aim to use service robots in the elderly care domain; however, there has been no interaction dataset collected for this domain. For this reason, we introduce a human–human interaction dataset for teaching non-verbal social behaviors to robots. It is the only interaction dataset that elderly people have participated in as performers. We recruited 100 elderly people and 2 college students to perform 10 interactions in an indoor environment. The entire dataset has 5,000 interaction samples, each of which contains depth maps, body indexes, and 3D skeletal data that are captured with three Microsoft Kinect v2 sensors. In addition, we provide the joint angles of a humanoid NAO robot which are converted from the human behavior that robots need to learn. The dataset and useful Python scripts are available for download at https://github.com/ai4r/AIR-Act2Act . It can be used to not only teach social skills to robots but also benchmark action recognition algorithms.
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Trivedi, Ashutosh, and Shrisha Rao. "Agent-Based Modeling of Emergency Evacuations Considering Human Panic Behavior." IEEE Transactions on Computational Social Systems 5, no. 1 (March 2018): 277–88. http://dx.doi.org/10.1109/tcss.2017.2783332.

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48

Kumar Srivastava, Amit, and Sushil Sushil. "Modelling drivers of adapt for effective strategy execution." Learning Organization 21, no. 6 (September 2, 2014): 369–91. http://dx.doi.org/10.1108/tlo-08-2013-0038.

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Purpose – The purpose of this study is to develop a framework for “Adapt” in the context of strategy execution. Design/methodology/approach – Both exploratory and confirmatory modes of research using Confirmatory Factor Analysis, Interpretive Structure Modeling, Total Interpretive Structural Modeling and t-test methods have been conducted. Findings – The conceptualization of learning and learning organization can only be possible when organization develops adaptive culture. When an organization becomes learning organization, it starts becoming vital by adopting flexibility wherever and whenever it is required. This vitalization process helps organization use successfully the frameworks of strategy execution. Research limitations/implications – In many cases the Balance Score Card could not succeed. Our study suggests that the adaptive culture gives impetus for learning and growth suggested in balanced scorecard (BSC) and adapt suggested in Management System. This study is more an exploratory effort with limited sample size. The findings can be consolidated and enriched with significantly large sample from varied contexts. Practical implications – There is clear relative importance and sequence of corrective actions required to improve the hit rate of strategy execution. Organization can use the proposed framework to handle the issues of adapt in strategy execution. Originality/value – Many scholars have pointed out that there is lack of strategy execution framework, and more specifically, in the case of adapt. The study contributes by providing a conceptual framework to address different aspects of adapt and change management for effective strategy execution. Additionally, this study adds methodological value to traditional model building.
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Nyabadza, Farai, Josiah Mushanyu, Rachel Mbogo, and Gift Muchatibaya. "Modelling the Influence of Dynamic Social Processes on COVID-19 Infection Dynamics." Mathematics 11, no. 4 (February 13, 2023): 963. http://dx.doi.org/10.3390/math11040963.

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Human behaviour was tipped as the mainstay in the control of further SARS-CoV-2 (COVID-19) spread, especially after the lifting of restrictions by many countries. Countries in which restrictions were lifted soon after the first wave had subsequent waves of COVID-19 infections. In this study, we develop a deterministic model for COVID-19 that includes dynamic non-pharmaceutical interventions known as social dynamics with the goal of simulating the effects of dynamic social processes. The model steady states are determined and their stabilities analysed. The model has a disease-free equilibrium point that is locally asymptotically stable if R0<1. The model exhibits a backward bifurcation, implying that reducing the reproduction number below one is not sufficient for the elimination of the disease. To ascertain the range of parameters that affect social dynamics, numerical simulations are conducted. The only wave in South Africa in which interventions were purely based on human behavior was the first wave. The model is thus fitted to COVID-19 data on the first wave in South Africa, and the findings given in this research have implications for the trajectory of the pandemic in the presence of evolving societal processes. The model presented has the potential to impact how social processes can be modelled in other infectious disease models.
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Bennett, Victoria J., Matthew Beard, Patrick A. Zollner, Esteban Fernández-Juricic, Lynne Westphal, and Cherie L. LeBlanc. "Understanding wildlife responses to human disturbance through simulation modelling: A management tool." Ecological Complexity 6, no. 2 (June 2009): 113–34. http://dx.doi.org/10.1016/j.ecocom.2008.08.002.

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