scholarly journals The Classification of the Real-Time Interaction-Based Behavior of Online Game Addiction in Children and Early Adolescents in Thailand

Author(s):  
Kongkarn Vachirapanang ◽  
Sakoontip Tuisima ◽  
Sukree Sinthupinyo ◽  
Puntip Sirivunnabood
2021 ◽  
Vol 11 (11) ◽  
pp. 5067
Author(s):  
Paulo Veloso Gomes ◽  
António Marques ◽  
João Donga ◽  
Catarina Sá ◽  
António Correia ◽  
...  

The interactivity of an immersive environment comes up from the relationship that is established between the user and the system. This relationship results in a set of data exchanges between human and technological actors. The real-time biofeedback devices allow to collect in real time the biodata generated by the user during the exhibition. The analysis, processing and conversion of these biodata into multimodal data allows to relate the stimuli with the emotions they trigger. This work describes an adaptive model for biofeedback data flows management used in the design of interactive immersive systems. The use of an affective algorithm allows to identify the types of emotions felt by the user and the respective intensities. The mapping between stimuli and emotions creates a set of biodata that can be used as elements of interaction that will readjust the stimuli generated by the system. The real-time interaction generated by the evolution of the user’s emotional state and the stimuli generated by the system allows him to adapt attitudes and behaviors to the situations he faces.


2018 ◽  
Vol 7 (2.3) ◽  
pp. 31
Author(s):  
B M. Bandgar

The The extraction and processing of the real-time tweets is one of the challenging tasks. The processed tweets are classified using unstructured models. These showed no. of neutral tweets after the classification the tweets. Therefore, here pipelined unstructured model is developed the for the classification of tweets and explored to reduce the number of neutral tweets. It showed more reduction in the number of neutral tweets as compared to other unstructured model such as the SWNC model results.


2020 ◽  
Vol 5 (3) ◽  
pp. 409-416
Author(s):  
Nguyen Xuan Thai ◽  
Nguyen Van Duy ◽  
Chu Manh Hung ◽  
Hugo Nguyen ◽  
Matteo Tonezzer ◽  
...  

2014 ◽  
Vol 13 (3) ◽  
pp. 375-391 ◽  
Author(s):  
Annemieke Ensing ◽  
Geerdina M. van der Aalsvoort ◽  
Paul van Geert ◽  
Silke Voet

We propose a new definition of learning potential as an emergent phenomenon. It emerges in the process of creating a unique scaffolding situation through the real-time interaction between teacher and child. We provide a model for analyzing the behavioral sequences within these scaffolding dynamics and illustrate it with the data of two qualitatively representative children working on a curriculum-related task with their teacher. It is hypothesized that if the dyads truly create their own dynamic scaffolding–related situation as presented in the model, they are expected to differ in terms of their temporal patterns in a nontrivial way. Analyses showed significantly different patterns for both dyads. We conclude that, in applied settings, an analysis of the dynamic patterns of scaffolding creation might provide important information about learning potential, in addition to information obtained with standardized dynamic tests.


2019 ◽  
Vol 21 (21) ◽  
pp. 10908-10913 ◽  
Author(s):  
Lorena E. Rosaleny ◽  
Kirill Zinovjev ◽  
Iñaki Tuñón ◽  
Alejandro Gaita-Ariño

Molecular dynamics and crystal field analysis are combined to obtain information about the real-time interaction between the spin energy levels and the dynamics of the molecular structure, at all relevant time scales.


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