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Examining the role of Emotional Intelligence as a mediator for the impact of Virtual Communication on decision making effectiveness during the covid-19 crisis

Dr. Saumya Kapoor Sharma, Assistant Professor, School of Management & Liberal Studies The North Cap University Gurugram, Haryana, Dr. Amar Kumar Mishra, Professor, Graphic Era (Deemed to Be) University, Dehradun, Uttarakhand
2022 Ymer  
The present study assumes that Emotional Intelligence plays a key role in understanding relationship of Virtual communication and Decision-Making Effectiveness.  ...  We have witnessed a paradigm shift in the organization culture and working dynamics where the new normal is working via virtual mode.  ...  Emotional Intelligence and Decision Making Emotional Intelligence is a strong component in taking day to day decisions in life.  ... 
doi:10.37896/ymer21.03/48 fatcat:cklgf4xm6vbnlfzxtmwibxazle

Technological evolution and tourist decision-making: a perspective article

Nikolaos Stylos
2019 Tourism Review  
Research limitations/implications The study offers the basis for a new theoretical framework in the area of tourism decision-making, considering the future of cyber-physical-human systems.  ...  decision-making.  ...  It causes a partial shift of the locus of decision-making from individual tourists' decision-making to collective ones, via expert systems in smart digital systems (Baggio, 2017) .  ... 
doi:10.1108/tr-05-2019-0167 fatcat:vmfw5vkgg5ebjmbhkru37eu26q

Mutual Understanding in Human-Machine Teaming

Rohan Paleja
In this research, we enhance the mutual understanding within a human-machine team by enabling cobots to understand heterogeneous teammates via person-specific embeddings, identifying contexts in which  ...  ., "cobots") and machine learning-based virtual agents are increasingly entering the human workspace with the aim of increasing productivity, enhancing safety, and improving the quality of our lives.  ...  In Paleja et al. (2020) , I develop a Personalized Neural Tree (PNT) model that learns a model of heterogeneous user decision-making using counterfactual reasoning via pairwise comparisons.  ... 
doi:10.1609/aaai.v36i11.21585 fatcat:tyl2bzdulfalhpjda6nqna62ma

Using Multi-agent Systems to Pursue Autonomy with Automated Components

Jeffrey W. Tweedale
2013 Procedia Computer Science  
Based on the effort to seek or facilitate human-like decision making within machines, it is clear that further research is required. This paper discusses one possible avenue.  ...  However problems typically manifest in complex, dynamic and often hostile environments.  ...  They can only enforce preprogrammed decision-making and engage in limited forms of learning.  ... 
doi:10.1016/j.procs.2013.09.226 fatcat:bzugucykcfc4nceyb3fykfrhuq

Real-time co-operative decision making & control systems

Ljubo B. Vlacic, Daniel I. Thomas, Joshue Perez
2011 2011 XXIII International Symposium on Information, Communication and Automation Technologies  
This paper investigates decision making and control concepts that enable human beings and artificial beings to interact and co-operate in real time in a dynamic and reliable way.  ...  Learning and adaptability (and thus the ability of being co-operative) are important features of decision & control systems.  ...  Michel Parent, Toni Noel, Laurent Bouraoui and Francois Charlot for their effort and assistance in performing experiments.  ... 
doi:10.1109/icat.2011.6102100 dblp:conf/icatech/VlacicTP11 fatcat:ukvwrnbpdnbadmtxjf3o3ma7am

Application of Artificial Intelligence Techniques in Operating Mode of Professors' Academic Governance in American Research Universities

Ruishu Wang, Jiannan Li, Wanbing Shi, Xin Li, Narasimhan Venkateswaran
2021 Wireless Communications and Mobile Computing  
between the professors and administrators based on an artificial intelligence decision system in American research universities.  ...  Also, there is a good communication platform based on artificial intelligence environment for professors to discuss their opinions on academic affairs.  ...  Acknowledgments This work was supported by "the Fundamental Research Funds for the Central Universities" from Northeastern University (Research project on STEEM of American Universities, 02030022120006  ... 
doi:10.1155/2021/3415125 fatcat:wgxget7euren7bql3kisnx3ygu

Artificial Intelligent Manufacturing for Modern Industry Sector

Handiso Selamu Yisihak
2020 Zenodo  
Since the release of Artificial Intelligent manufacturing like China proposes "Made in China 2025",Germany proposes "Industry 4.0",U.S.  ...  different areas, and the traditional manufacturing industry has accelerated the pace of transition to Artificial intelligent manufacturing, which has caused tremendous changes in the entire product life  ...  In the work, humans and machines perceive, coordinate decision-making, and cooperate on an equal footing.  ... 
doi:10.5281/zenodo.5893550 fatcat:it2dc7w6gnc27fk2gmqntnxnqu

Towards the use of collaborative virtual environments to crew unmanned oil platforms

Hugo Fuks, Alberto Raposo, Simone D. J. Barbosa, Heloisa Moura, Andreia Soares, Marcio Cunha, Marcelo Gattass, Carlos J. P. Lucena
2009 2009 13th International Conference on Computer Supported Cooperative Work in Design  
We discuss the importance of research in the fields of Computer Graphics, Virtual Reality and Computer Supported Cooperative Work in this context and present the basic technologies needed to accomplish  ...  This paper presents a human-centered vision of unmanned but crewed platforms, combining an onshore collaborative hybrid environment and an intelligent offshore oilfield.  ...  Instantiating the Vision What is necessary to make Collaborative Virtual Environments really operational in the "intelligent oil fields"?  ... 
doi:10.1109/cscwd.2009.4968102 dblp:conf/cscwd/FuksRBMSCGL09 fatcat:f6zbftblynejhptbgd7imzaece

Interactive and innovative technologies for smart education

Babatomiwa Omonayajo, Fadi Al-Turjman, Nadire Cavus
2022 Computer Science and Information Systems  
It is with great hope that the use of modern technologies in smart education will improve educational quality while also making teaching and learning more convenient.  ...  With smart technological solutions, modern technologies are enhancing the teaching - learning process in today?s education.  ...  Decision Tree For classification and regression in AI machine learning, Decision Tree Hidden Markov Model The Hidden Markov model (HMM) is a statistical Intelligence technique commonly used to represent  ... 
doi:10.2298/csis210817027o fatcat:xyal7ovaybhf3lw4pev5hugxmq

Machine learning method to ensure robust decision-making of AVs

Ramdane Tami, Boussaad Soualmi, Abdelkrim Doufene, Javier Ibanez, Justin Dauwels
2019 2019 IEEE Intelligent Transportation Systems Conference (ITSC)  
[11] conducted research on the path planning problem in dynamic environment. They proposed a Binary Decision Diagram (BDD) approach using a set of parametrized candidate trajectories.  ...  When a decision can be formulated based on a relationship between mutual information, mutual dependence can be deduced.  ... 
doi:10.1109/itsc.2019.8917085 dblp:conf/itsc/TamiSDID19 fatcat:qtclymllybeifend34hw65s4ia

Some new trends of intelligent simulation optimization and scheduling in intelligent manufacturing

Xinyu Li, Chunjiang Zhang
2020 Service Oriented Computing and Applications  
Like simulation optimization and scheduling, reinforcement learning is essentially a decision-making process for optimization purposes, which is a new research hotspot in the field of artificial intelligence  ...  and accurate responses and processing of dynamic events is one research focus on schedule in the future  ... 
doi:10.1007/s11761-020-00299-6 fatcat:tywfkjdf3fbwhijdeaojvseynq

AI-Powered Green Cloud and Data Center

Jun Yang, Wenjing Xiao, Chun Jiang, M. Shamim Hossain, Ghulam Muhammad, Syed Umar Amin
2019 IEEE Access  
The rising energy consumption not only needs energy in large quantity but also imposes heavy pressure on the environment.  ...  As the scale of cloud computing expands, its impact on energy and the environment is becoming more and more prominent.  ...  The intelligent situation recognition, demand prediction and scheduling control in the learning methods improve decision-making ability of the system.  ... 
doi:10.1109/access.2018.2888976 fatcat:piadilpr4jb6vbnmz2znuaouea

Best practices and opportunity areas for the intelligent management of virtual teams

Garcia-Guardado Enrique, Mendoza-Gomez Joel
2020 Management Science Letters  
This research has the objective to identify the best practices and opportunity areas for the intelligent management of virtual teams by showing practical suggestions in the discussion built with the inferential  ...  On the other hand, virtual teams have problems that make the regularization of their work processes and their social interaction methods difficult and restrict the team members to unfold efficiently.  ...  In a virtual environment, the quantity of shared information must have a structure, because the overload of information can affect the quality of the working and decision-making processes.  ... 
doi:10.5267/j.msl.2020.6.044 fatcat:kyq3n3eo3vdqnfwh2i54leqjuu

Augmented Virtual Reality: Combining Crowd Sensing and Social Data Mining with Large-Scale Simulation Using Mobile Agents for Future Smart Cities

Stefan Bosse, Uwe Engel
2019 Proceedings (MDPI)  
The simulation world interacts with real world environments, humans, machines, and other virtual worlds in real-time.  ...  In contrast, simulation worlds are commonly closed and rely on artificial sensory information generated by the simulator program or using data collected off-line.  ...  User data and user decision making has a large impact on public decision-making processes, for example, plan-based traffic flow control.  ... 
doi:10.3390/ecsa-5-05762 fatcat:4ivcqteugrhqpfqmrihe63c4vi

Typology on Leadership toward Creativity in Virtual Work

Iris A Humala
2017 Interdisciplinary Journal of Information, Knowledge, and Management  
The trend in leadership in the existing virtually networked business environment is toward the "collective mind" company, which is characterized by shared values, meaningful work, collective intelligence  ...  Future Research: Future studies may focus on other fields, industries, networks, roles of materialities, and employees in fostering creativity and on theory development.  ...  larger head office for decision-making and smaller brand offices prevails Delays due to the concentration of decision-making, complicating work and hindering development; unnecessary checking; abrupt  ... 
doi:10.28945/3786 fatcat:5orsdqfsxff3voyhbucl45hmqe
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