2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)最新文献

{"title":"Different learning predictors and their effects for Moodle Machine Learning models","authors":"László Bognár, Tibor Fauszt","doi":"10.1109/CogInfoCom50765.2020.9237894","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237894","url":null,"abstract":"In this paper 16 different Moodle Machine Learning models for predicting the success of 57 full-time students enrolled in the Applied Statistics course at the University of Dunaújváros in Hungary have been developed and tested in terms of “goodness”. The success can be affected by several factors, but here only students' cognitive activities are examined. The predictors used in the models are based on: number of view of PDF lecture notes, number of views of video lectures, number of views of books of solved exercises, number of views of Minitab videos (videos for problem solving with a statistical software), number of attempts of quizzes and best grades achieved by students on quizzes. The models differed in the number and in the types of predictors. Binary Logistic Regression was used for model training and evaluation. The target of the models indicates whether a student is at risk of not achieving the minimum grade to pass the course. The impact of cognitive predictors that are part of the Moodle core Analytics API on predictive power was also examined. Having evaluated the goodness of the different models, it was shown that students' success can be predicted purely from cognitive activities, but their predictive powers are very diverse. The predictors of quizzes have the largest impact on the success, however, supplementing the model with other even less effective predictors much better model can be made. Models built from purely Moodle core cognitive predictors give much less reliable results.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128434775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Satisfaction degree in the using of VideoConferencing Psychotherapy in a sample of Italian psychotherapists during Covid-19 emergency","authors":"V. Cioffi, D. Cantone, Carmela Guerriera, M. Architravo, L. Mosca, R. Sperandeo, Enrico Moretto, T. Longobardi, Yari Mirko Alfano, G. I. Continisio, B. Muzii, N. Maldonato","doi":"10.1109/CogInfoCom50765.2020.9237823","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237823","url":null,"abstract":"During the last period of lockdown because of the Covid-19 pandemic influence, a lot of mental health professionals were able to continue working online, assisting their patients from home too. Even if there are still some doubts about videoconferencing psychotherapy (VCP), a lot of studies indicate that VCP can be feasible and clinically effective, in fact the online therapy is becoming increasingly popular, reducing distances even during the current pandemic. The aim of this study is to analyze the degree of satisfaction after using VCP in a sample of psychotherapists freely recruited through the publication on social media of a specially created questionnaire. The collected data were analyzed by performing descriptive statistics to show the qualitative and quantitative composition of the sample examined. A tree classification model was created to predict the liking of the remote therapeutic intervention based on the sociodemographic characteristics, previous experiences and aspects of psychotherapeutic orientation of the therapists recruited in the study. Through a decision tree that explains which variables are related to positive responses, the following characteristics were found to predict the degree of satisfaction of the psychotherapists in using the VCP: belonging to a specific age group; having previously used VCP; and belonging to a specific psychotherapeutic orientation. According to the results, the first two important characteristics of the psychotherapists to influence the satisfaction in their use of VCP (belonging to the specific age group 45–65 and having previously used VCP) are probably a matter that can be linked to the degree of professional maturity and experience. The innovation of this research is to highlights the real impact of the distance therapy on the main therapeutic models, concluding that to have a certain level of proficiency, according the own orientation, in the use of the VCP may influence the level of satisfaction of the psychotherapists.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133690523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dyspraxia: an impairment of the structure and functions of the individual mind : A new study perspective and intervention","authors":"L. Mosca, R. Sperandeo, V. Cioffi, D. Cantone, Enrico Moretto, T. Longobardi, Yari Mirko Alfano, G. I. Continisio, B. Muzii, M. Bottone, N. Maldonato","doi":"10.1109/CogInfoCom50765.2020.9237860","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237860","url":null,"abstract":"The term dyspraxia defines an inability to perform a pragmatically oriented action. It doesn't yet have a precise nosographic location. According to the embodied cognition model, this disorder compromises the development of superior mental functions, the construction and the representation of the Self. In our perspective it isn't possible to reduce dyspraxia to a mere disorder of the execution of an intentional gesture and it must be included in a wider spectrum of pathological processes that compromise the functions and the development of individual mind. With the aim to identify early and to support pupils with possible motor difficulties, our contribution intends to propose a computational analysis model of the dyspraxic movements and to define the construction of a technologically assisted diagnostic system for dyspraxia, thanks to the use of an ecological observation grid (GEO-DE). The observation tool was applied in a sample of 525 subjects, aged between 48 and 72 months in order to identify the groups of motor tasks predictive of dyspraxic phenomena. The analysis of the normalized importance of the independent variables showed that the Linguistic Skill (AL) group is the most important group for the forecast of praxic deficits, it was followed in descending order by the AP (Personal Autonomy), GTI (Transitive and Intransitive Gestures), EC (Balance and Coordination) groups. The innovation in this research is to identify which movement patterns are capable of predicting praxic motor dysfunction, for an automated mixed assessment system that includes teacher evaluation.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115501893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Virtualized Software Development Infrastructure for Classrooms","authors":"Zsolt Tóth","doi":"10.1109/CogInfoCom50765.2020.9237897","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237897","url":null,"abstract":"Software development infrastructure allows communication between developers and it consists of a wide range of interconnected application specific tools which react events and communicate with themselves. These tools and their automation capabilities realize an intelligent system for software engineers which may be overlooked. Therefore, this infrastructure can be considered as a cognitive info-communication system. Teaching good communication practices and efficient usage of these tools is exceptionally important in higher education. Hence, software engineering capstone courses are essential part of education which are usually focused on methodologies, programming, communication or project management. Infrastructure is often assumed to be already established. On the other hand, development infrastructure is vital for many projects, evolve with time and contribute to the long term goals of software companies. Deployment of an efficient development infrastructure requires the integration of wide range of systems so it may not be available for recently started projects. Virtualization and cloud providers facilitates the deployment of complex software systems. This paper presents a virtual software development infrastructure that can be used in a classroom environment for mimic real development infrastructures.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116444165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research Study Design for Teaching and Testing Fire Safety Skills with AR and VR Games","authors":"K. Tarkkanen, Anttoni Lehto, D. Oliva, Brita Somerkoski, Timo Haavisto, Mika Luimula","doi":"10.1109/CogInfoCom50765.2020.9237831","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237831","url":null,"abstract":"Virtual and augmented reality (VR & AR) games can provide innovative methods for teaching and learning important skills relating to fire safety. However, in an emergency context, testing the acquired knowledge and skills, i.e. verifying the learning, can be challenging. In this paper, we ask how the interplay between AR and VR could support learning verification. We describe two standalone games of both types, which interchangeably teach fire safety skills to children and verify their learning results. In particular, we describe the planned learning paths and research study designs for verification studies within and between these games to answer the above question. By operationalizing the two cases, the paper ends in proposing more generalized study design for AR and VR research in a fire safety context.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124945641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Body Movement Synchrony Captured by an Omnidirectional Camera predicts the Degree of Information Transfer during Dialogue: Toward Automatic Evaluation of Verbal Communication","authors":"Ayaka Tsuchiya, H. Ora, Kohei Kameda, Y. Miyake","doi":"10.1109/CogInfoCom50765.2020.9237916","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237916","url":null,"abstract":"In a meeting, two or more individuals come together to verbally share information. However, discrepancies in perceptions often occur in complicated discussions. Therefore, whether the information transfer succeeded must be reconfirmed. This problem is typically resolved through ex-post measures such as meeting minutes. Our previous results indicated that the degree of information transfer can be predicted using head movement synchrony. In this study, we propose an information transfer estimation method based on head movement synchrony during a conversation evaluated by an omnidirectional camera that can easily obtain body movements. These body movements were quantified using Motion Energy Analysis, which is commonly used in clinical psychology, with additional processes used to reduce noise caused by lighting in the room and resulting from large accidental movements. By these processes, body movement synchrony was quantified. We confirmed that this synchrony occurred between actually interacting pairs and tested whether it was related to the degree of information transfer. In the experimental evaluation, body movement synchrony was found to be high for interacting pairs, and a positive correlation was observed between synchrony and degree of information transfer. Therefore, our proposed method may detect the synchrony and estimate the degree of information transfer using an omnidirectional camera.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114695017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Encountering the Cognitive and Noetic Endeavors of Macedon Renaissance : Part IV: Pictures of Clemens and Constantine VII on the Coronation Mandle (Royal Casula) and Holy Crown of St Stephen of Hungary. Revisiting the Phanes Symbolism","authors":"P. Várlaki, J. Steiner-Várlaki, P. Baranyi","doi":"10.1109/CogInfoCom50765.2020.9237846","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237846","url":null,"abstract":"The paper discusses artifacts of Royal (Coronation) Robe (Casula) of St Stephen of Hungary concerning the picture of the St Cement (Clemens) and Constantine Porphyrogenitus on the Holy Crown in the style of the Macedonian Renaissance representing noetic and pneumatic experiences renewing the traditional Christian interpretations. Here the main purpose of the paper upon the fascinating Artifact is the explanation of the historical and structural background in the old Greek noetic and mystical Israelite-Judaic pneumatic tradition for the new kind of the Christian Asterisk-disc eucharistic liturgy, here using the known patterns of Phanes Mythologems.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124164214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advanced User Interaction for Web-based Collaborative Virtual Reality","authors":"M. Hudák, Š. Korečko, B. Sobota","doi":"10.1109/CogInfoCom50765.2020.9237899","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237899","url":null,"abstract":"Despite their support in contemporary specifications for web-based virtual, augmented and mixed reality, such as WebXR, user interaction is limited in several ways in corresponding web applications. This paper introduces software components providing solution for two of these limitations: a lack of six degrees of freedom motion capturing for smartphone-based VR headsets and no hand gesture support for MS HoloLens. The components have been developed for LIRKIS Global - Collaborative Virtual Environments, but can be used for any web applications utilizing the A-Frame framework. The paper describes both components and evaluates their performance.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129080816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"VR Dodge-ball: Application of Real-time Gesture Detection from Wearables to ExerGaming","authors":"Shun Ishii, Mika Luimula, Anna Yokokubo, G. Lopez","doi":"10.1109/CogInfoCom50765.2020.9237824","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237824","url":null,"abstract":"Wearable technologies are applied to various areas nowadays, including health care and physical training. In previous work, we developed ExerSense, an algorithm to segment, classify, and count different predefined motions in real-time using correlation of acceleration. Using ExerSense, we developed a Virtual Reality (VR) Dodge-ball game. A watch-like wearable device is mounted to the right wrist and connected wireless to a head-mounted display (HMD). ExerSense enables to recognize real-time ball throwing gesture. Dodging opponent's ball in 3-Dimensional virtual space is detected using the sensors embedded in the HMD. We found that wearable devices have an advantage for virtual exergames against the camera-based approaches: there is no space and place limitation. Additionally, the study shows that exergames could be implemented with only general usage devices.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"22 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114025276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In the footsteps of Artificial Intelligence : Examining logical relationships between employee turnover and behavior patterns","authors":"Bernadett Domokos, Zoltán Baracskai","doi":"10.1109/CogInfoCom50765.2020.9237862","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237862","url":null,"abstract":"In this study, the initial problem is the capacity of the human mind to set up a conceptual model. The novelty of this article is that we show that defined concepts created by the human mind can be passed on to an artificial intelligence-based expert system. The expert system helps the human mind to settle the logical connections between the defined terms and the conceptual model thus the created model will be better than what man could have set up without an expert system. These articles have examined the impact of employee turnover in countless aspects as one of potential index of a corporation. As a starting point for our research, we systematically reviewed the literature on employee turnover and selected six concepts that are bilaterally related to our phenomenon. Based on the terms and the correlation of it, we created a conceptual model that was examined with the help of an artificial intelligence-based system. Based on our experience in observing, consulting, and working with decision-makers, we examined the aspects of employee turnover phenomenon in the analysis. This was performed using a rule-based system, which used logical rules and found classical “if-then” connections in the employee behavior cases. According to our examination, our outcomes can provide credible results for further research activities as well as for practitioners.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123858405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}