Cognitive Psychology Analysis Research Articles

Cognitive psychological analysis based on multilayer semantics of web video and feature extraction of psychological images

In order to improve the accuracy of psychological analysis by extracting network video and image features, it is difficult to analyze video semantics and blur the boundaries of psychological images. In order to solve the above problems, this paper proposes a cognitive psychological analysis algorithm based on multi-layer semantics and feature extraction of psychological images in network video. Firstly, this algorithm proposes a hierarchical semantic description of network video. It can be divided into two stages: network video layering and semantic template based on layering. Then, the algorithm divides the mental image into multiple segmentation. Each segmentation focuses on the impact of different network video and different types of image features on data convergence. At the same time, interface blurring processing mechanism and image data semantic hierarchical classification method are designed. Finally, the simulation results show that the proposed algorithm is credible, feasible and effective.

Two-Way Affective Modeling for Hidden Movie Highlights' Extraction.

Movie highlights are composed of video segments that induce a steady increase of the audience’s excitement. Automatic movie highlights’ extraction plays an important role in content analysis, ranking, indexing, and trailer production. To address this challenging problem, previous work suggested a direct mapping from low-level features to high-level perceptual categories. However, they only considered the highlight as intense scenes, like fighting, shooting, and explosions. Many hidden highlights are ignored because their low-level features’ values are too low. Driven by cognitive psychology analysis, combined top-down and bottom-up processing is utilized to derive the proposed two-way excitement model. Under the criteria of global sensitivity and local abnormality, middle-level features are extracted in excitement modeling to bridge the gap between the feature space and the high-level perceptual space. To validate the proposed approach, a group of well-known movies covering several typical types is employed. Quantitative assessment using the determined excitement levels has indicated that the proposed method produces promising results in movie highlights’ extraction, even if the response in the low-level audio-visual feature space is low.

洪水ハザードマップのデザインに関する認知心理学的検討（2）―凡例デザインの検討―

洪水ハザードマップのデザインに関する認知心理学的検討（2）―凡例デザインの検討―

On the Influence of Mathematical Thinking Styles on Learners’ Modeling Behavior

Analyzing modeling processes with a cognitive psychological perspective is much neglected in the national and international discussion on mathematical modeling. In this paper, I will report about the COM2-project (Cognitive psychological analysis of modelling processes in mathematics lessons) which had the goal to investigate pupils’ and teachers’ cognitive processes during modeling activities in mathematics lessons. In this article, the focus lies on the pupils’ behavior, whose individual modeling routes were reconstructed. These routes are described in detail and the influence of the mathematical thinking styles of pupils on these modeling routes is shown.

Critical review on the studies and analyses of ‘information media’, scientific literature, library materials, and scientific discourses

This review examines studies and analyses of ‘information media’ as written documents, published mainly in original articles after 1980s. Both (1) analyses which seek to identify ‘information’, ‘content’, or ‘meaning’ of information media, and (2) studies which concern the information phenomena, are reviewed.There are two aspects to be reviewed; (1) what kinds of methods are used and what are the results, (2) how ‘information media’ are approached and represented. The review, thus, outlines several methods (Chapter 2), and research schemes and approaches that underlie in the methods (Chapter 3).In Chapter 2, content analysis, subject analysis, linguistic analysis (propositional analysis, FSP linguistics, semantics and grammar, pragmatics), discourse analysis, structural analysis, sociological analysis, and cognitive psychological analysis are examined. In Chapter 3, among the approaches which might underlie those methods, semiotic approach, practical approach, ‘process’ approach, structural and functional approaches, and ‘speech act theory’ and ‘language game’ approaches, are discussed.Two directions in studies and analyses of ‘information media’ are recognized. Those are, (1) the direction which seeks better and more effective settings for information media, and hence regards that the analyses should contribute to decision making, and (2) the direction which seeks to find the phenomena surrounding information media. Finally some future directions are proposed. It is necessary to seek new approaches, among which ‘information media’ can be studied multidirectionally, new meanings permanently arrising from them are not to be eliminated, or what they mean to those people in the context of actually using them can be describable.