Cognitive Topology Mapping based on HumanComputer Interaction

Shimin, Meng; Cheng, Ran; Liu, Yonglin

doi:10.20533/jitst.2046.3723.2013.0017

Cited by 5 publications

(1 citation statement)

References 3 publications

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“…This platform can be well implemented in the study of dynamic systems. Symbol dynamics is a method for strictly describing dynamical processes in finite precision [31].…”

Section: Cognitive Symbol Sequencementioning

confidence: 99%

Cognitive Process Observation Based on Human-Computer Interaction

LI¹,

Cheng²,

Changyong³

et al. 2014

TOAUTOCJ

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Brain research focuses on matter, energy and information. Brain imaging of cognitive function concentrates on detecting brain activity in the energy layer and is the mainstream research paradigm in current brain science, hotspot patents. However, the core function of the brain is to process and dissipate information. It is extremely difficult to deduce brain activity and information processing mechanism based on activities in the energy layer; Studying the information processing mechanism of the brain directly from the information and content layers is a direction worth exploring. In terms of psychology, the basic object of brain research in the content layer is the cognitive structure. The cognitive structure is the basis for cognition, learning and thinking, so it is undoubtedly objective. Directly collecting cognitive information and reconstructing the methods for observing cognitive structures are scientific problems that deserve to be studied. How to observe the cognitive structure inside the brain? The new cognitive view holds that cognition occurs in the coupling interaction between the brain and the environment and the innovative method for observing the cognitive structure of man-machine coupling views the environment for man-machine interaction as the digital platform for cognition observation consisting of the brain cognitive body, the coupling situation and the information manifold (BSM). BSM is a combination of information and cognition. It should be analyzed from the perspectives of mathematic foundation, observation methods, imaging technology and cognitive dynamics. Cognitive structure imaging will be the new direction of the brain technology patents.

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“…This platform can be well implemented in the study of dynamic systems. Symbol dynamics is a method for strictly describing dynamical processes in finite precision [31].…”

Section: Cognitive Symbol Sequencementioning

confidence: 99%

Cognitive Process Observation Based on Human-Computer Interaction

LI¹,

Cheng²,

Changyong³

et al. 2014

TOAUTOCJ

View full text Add to dashboard Cite

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An Observation of Problem Spaces Based on Human-Computer Interactions

Changyong¹,

Cheng²,

Shimin³

2015

TOCSJ

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Raising, analyzing and solving problems are the core competitiveness factors of innovative talent. However, to date the mechanism for problem cognition has not been elucidated and still needs to be studied. A problem space is the representation of the sum of cognitive conditions, cognitive objectives, cognitive rules, cognitive impairment, and cognitive situation, and is a high-dimensional manifold. The observation and dimensionality reduction of problem spaces are considered as problem areas. Human-computer coupled cognitive observation is a new method for studying the brain at the information level, and can also be used in the observation of problem spaces. In this paper the human-computer coupled cognitive environment is established and a problem situation is constructed. Additionally problem objects are marked, data for raising problems are collected to establish a set of problem objects, and a tree topology is selected as the structure of the low-dimensional problem space to reconstruct a problem space. It is felt that the observation, dimensionality reduction, visualization, and topologization of problem spaces provide foundations for evidence-based and dynamic studies on problem spaces, as well as providing support for teaching.

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Visual Analysis of Cognitive Structure based on the Human-Machine Interaction

Cheng¹,

Changyong²,

Shimin³

2015

TOCSJ

Self Cite

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Learning is a process that changes the cognitive structure, which is the important representation of advanced cognition. Due to the difficulties in observing cognition, the empirical and visual researches of cognitive structure are significant. To realize the empirical research, the first issue is how to observe the cognitive structures. Based on the humanmachine interaction, we have established a new "Brain cognitive body-cognitive coupling Situations-information Manifolds" (BSM) cognition observation platform. This platform allows the users to observe the cognitive processes and structures, collect and restructure the cognitive activity information. Additionally, the cognitive structure imaging, the empirical and visual analysis and the dimension reduction for high-dimensional cognitive manifolds can be realized on this BSM platform. Here, we have selected the tree-based network to represent the low-dimensional cognitive manifolds to develop a visual and vectorial model of layered cognitive structure. The digital model of cognitive structure is able to provide the basis for studying the empirical research, mathematics and dynamics of the cognitive structure, and the new ways for the advanced cognitive research.

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Cognitive Topology Mapping based on HumanComputer Interaction

Abstract: The system point of view, the human-computer interaction (HCI)

Cited by 5 publications

References 3 publications

Cognitive Process Observation Based on Human-Computer Interaction

Cognitive Process Observation Based on Human-Computer Interaction

An Observation of Problem Spaces Based on Human-Computer Interactions

Visual Analysis of Cognitive Structure based on the Human-Machine Interaction

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