Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms. Группа авторов

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      Figure 1.3 Cognitive modeling process in the visualization decision processing user interacting device system [15].

1.3 Cognitive Modeling: Decision Support User Interactive Device Systems (DSUIDS)

Cognitive models are used to support user interactive device systems in the form of computer programs, applications, algorithms, events, and sensors or devices or components or controls or tools that simulate human performance based on cognitive skills. They are useful through human-computer interaction to assist users in predicting tasks and finding meaningful and useful patterns. If these models are evolved through emerging design methodologies compared with historical interfaces, excellent and strange results are produced with high interactive graphical visualization tools. This strategic approach is abstracted and encapsulated as a yield of the cognitive model decision supported interface device, analogous to and based on a Cognitive Model Decision Support User Interface Management System (DPUIMS). The following are models and structural representation of interactive management interactive device system. The systems will help exploit the synergy between the branches, and interdisciplinary domain areas have interactions among the users [15].

      1.3.1 The Core Artifacts of the Cognitive Modeling of User Interaction

      There are various artifacts helped as tools to provide the development of interaction among user interfaces. Some tools can be designed and deployed through a task simulation mechanism in the development of cognitive models. There is no other linkage mechanism that may support and interpret cognitive models to the wide range of interfaces in a large organization’s decision support systems (Table 1.1).

      For an initial consideration for an Integration purpose, the following is featured process [16]:

      1.3.2 Supporting Cognitive Model for Interaction Decision Supportive Mechanism

Cognitive decision supportive mechanism implementation is based on essential elements; they are composed with the cognitive architecture via a cognitive modeling tool, and then communication mechanism combined with the hand and eye is implemented, thereby find the respective HCUI to interact with users. This environment model with task simulation tools effectively runs on heterogeneous and homogeneous environments (operating systems, real-time operating systems, various servers and clients, multiple computers, databases, etc.). It is finally integrated with the user interaction management system interface and computer-based management interaction management systems.

      Table 1.1 The core artifacts provided at the cognitive modeling of user interaction [16].

      Figure 1.4 Supporting cognitive model for the interaction of decision supportive mechanism [16].

      Supporting cognitive model (Figure 1.4) for interaction of decision supportive architecture is embodied with the following three necessary steps.

      The initial step to provide the model with supporting decision-making capabilities for perception and action among human-computer interaction with the task simulation is to extend the necessary cognitive tools as architecture to become a complete model by adding an eye with a simulated hand.

      In the second step of the cognitive model to the simulation, the simulated eye and hand observations are to be recorded, and that information is to pass into the cognitive model for necessary actions.

      The model’s final step is categorized into two specific parts as simulated eye and hand implemented in that environment as the simulation by using necessary simulation tools, whereas the cognitive model can be separated. Here, there occurs a communication mechanism between two such separated specific parts as in the form of interaction done simulated eye and hand with cognitive modeling [16].

      1.3.3 Representational Uses of Cognitive Modeling for Decision Support User Interactive Device Systems

      Some of the representations in cognitive modeling topics are described with descriptions in the following diagram [17].

      Table 1.2 Representational uses of cognitive modeling for decision support user interactive device systems [17].

Topic	Representational expectations	Comments
Model understand the context	Objectives in the form of sentential statements, to verify the relationship, data discovery, and investigation of data. To high-level requirements for visualization model or architecture. The dominant type of visualization is based on data analysis and exploration.	The ambiguity possible with sentential representations can be an advantage without ambiguity.
Model structure definition	The relationship provided in model supportability through data analysis, visualization of the model, decomposition of the problem, and variable specifications. The dominant type of visualization model may be computed probably with the help of given fullest resources utilization.	The activity usually received total resources what we thought was the significant portion. Visual tools range from “Balloons and Strings representation of СКАЧАТЬ В начало < 8 9 10 11 12 13 14 15 > В конец