Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268291
Júlia Szőke, Petra Kecskes
From time to time new forms of communication appear in our everyday life due to the constant development of ICT. Therefore, we demonstrate how a three-dimensional visualization software can be used in higher education for students of distance education.
{"title":"Virtual proximity in distance education — The usage of a three-dimensional software","authors":"Júlia Szőke, Petra Kecskes","doi":"10.1109/COGINFOCOM.2017.8268291","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268291","url":null,"abstract":"From time to time new forms of communication appear in our everyday life due to the constant development of ICT. Therefore, we demonstrate how a three-dimensional visualization software can be used in higher education for students of distance education.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128567311","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}
Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268222
M. Tariq, L. Uhlenberg, P. Trivailo, K. Munir, M. Simic
Viable usage of Brain-Computer Interface (BCI) in real-time applications significantly relies on the pre-processing techniques applied on the detected electroencephalography (EEG) signals. In EEG, sensorimotor (SMR)/oscillatory signals, such as mu and beta rhythm based BCIs, can be used to restore motor function by neuro-plasticity applied to re-establish normal brain function. This study is based on the evaluation of the foot motor execution (ME) and motor imagery (MI), in order to design a BCI neurorehabilitation system. Because foot ME and MI reflect the user's physical and imagination state of foot movement respectively, in order to be used as control signals, their appropriate translation is the basic challenge. This paper mainly focuses on the quantification and investigation of mu-beta event-related desynchronization (ERD) and event-related synchronization (ERS), for inter and intra-subject variability, making use of the available design tools in open-source platforms such as the OpenViBE software. Results show that the frequency of the most reactive components for mu was 8.8±0.5 Hz and 21.3±0.4 Hz for beta. Interestingly a contralateral dominance was visible at electrode position C3 during right foot ME/MI tasks. The results have enabled the implementation of a good platform for left-right foot ME/MI discrimination based BCI applications.
{"title":"Mu-beta rhythm ERD/ERS quantification for foot motor execution and imagery tasks in BCI applications","authors":"M. Tariq, L. Uhlenberg, P. Trivailo, K. Munir, M. Simic","doi":"10.1109/COGINFOCOM.2017.8268222","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268222","url":null,"abstract":"Viable usage of Brain-Computer Interface (BCI) in real-time applications significantly relies on the pre-processing techniques applied on the detected electroencephalography (EEG) signals. In EEG, sensorimotor (SMR)/oscillatory signals, such as mu and beta rhythm based BCIs, can be used to restore motor function by neuro-plasticity applied to re-establish normal brain function. This study is based on the evaluation of the foot motor execution (ME) and motor imagery (MI), in order to design a BCI neurorehabilitation system. Because foot ME and MI reflect the user's physical and imagination state of foot movement respectively, in order to be used as control signals, their appropriate translation is the basic challenge. This paper mainly focuses on the quantification and investigation of mu-beta event-related desynchronization (ERD) and event-related synchronization (ERS), for inter and intra-subject variability, making use of the available design tools in open-source platforms such as the OpenViBE software. Results show that the frequency of the most reactive components for mu was 8.8±0.5 Hz and 21.3±0.4 Hz for beta. Interestingly a contralateral dominance was visible at electrode position C3 during right foot ME/MI tasks. The results have enabled the implementation of a good platform for left-right foot ME/MI discrimination based BCI applications.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130266920","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}
Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268285
Ágoston Török, Z. Török, Borbala Tolgyesi
The study of the history of cognitive processes is essential to understand the co-evolution of humans and artefacts. In the current pioneer eye tracking experiment we used a complex and colorful early map as stimulus. We analyzed eye movements of 28 novice map readers. Our results suggests interaction between bottom-up (i.e. visual clutter) and top-down (eccentricity) cognitive processes in viewing patterns. These research findings represent a novel direction in studying the history of cognitive data visualizations and could be considered in directing contemporary design of user interfaces.
{"title":"Cluttered centres: Interaction between eccentricity and clutter in attracting visual attention of readers of a 16th century map","authors":"Ágoston Török, Z. Török, Borbala Tolgyesi","doi":"10.1109/COGINFOCOM.2017.8268285","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268285","url":null,"abstract":"The study of the history of cognitive processes is essential to understand the co-evolution of humans and artefacts. In the current pioneer eye tracking experiment we used a complex and colorful early map as stimulus. We analyzed eye movements of 28 novice map readers. Our results suggests interaction between bottom-up (i.e. visual clutter) and top-down (eccentricity) cognitive processes in viewing patterns. These research findings represent a novel direction in studying the history of cognitive data visualizations and could be considered in directing contemporary design of user interfaces.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126878339","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}
Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268225
Antti Hyvarinen, V. Niskanen
The fuzzy cognitive maps may arouse problems in interpretation, collective knowledge acquisition and stability. We thus suggest a method which applies stepwise regression method and fuzzy rule-based reasoning in model construction, and correlations in interpretation. The Finnish dairy farms' profitability is considered as an example. These methods base on historic data. Hence, we may obtain outcomes which are better understood by the users and provides better collective knowledge.
{"title":"A fuzzy-statistical approach to cognitive maps: Application to modelling finnish dairy farms' profitability","authors":"Antti Hyvarinen, V. Niskanen","doi":"10.1109/COGINFOCOM.2017.8268225","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268225","url":null,"abstract":"The fuzzy cognitive maps may arouse problems in interpretation, collective knowledge acquisition and stability. We thus suggest a method which applies stepwise regression method and fuzzy rule-based reasoning in model construction, and correlations in interpretation. The Finnish dairy farms' profitability is considered as an example. These methods base on historic data. Hence, we may obtain outcomes which are better understood by the users and provides better collective knowledge.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131465235","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}
Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268296
P. Várlaki, P. Baranyi
The paper discusses the meaning and structure identification of the “Explicit God Names” as a symbolic crown of the number archetype of 137 (“invented” by Constantine Porphyrogenitus) and intends to show some similar or isomorphic representations, as well as systems of structure and meaning in other important medieval works, as well.
{"title":"‘Hermeneutical and cognitive experiments’ of the “Explicit name of god's crown of number-archetype 137 in the book bahir compared with the “fine structure” of the related medieval artistic works concerning constantine porphyrogenitus' hidden world","authors":"P. Várlaki, P. Baranyi","doi":"10.1109/COGINFOCOM.2017.8268296","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268296","url":null,"abstract":"The paper discusses the meaning and structure identification of the “Explicit God Names” as a symbolic crown of the number archetype of 137 (“invented” by Constantine Porphyrogenitus) and intends to show some similar or isomorphic representations, as well as systems of structure and meaning in other important medieval works, as well.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124034629","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}
Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268210
Miklós Gábriel Tulics, K. Vicsi
The main purpose of the research is to model the cognitive processes that occur when the physician determines the severity of the dysphonia, and to build an IT system that can substitute the subjective severity diagnosis used by a clinician. In this preliminary study the relationship between acoustic parameters and the speech defect severity determined by a clinician is investigated. Being limited in the number of pathological speech samples, it is very important to choose the effective parameters. After a phoneme level segmentation, acoustic parameters were measured at a predetermined fixed points in continuous speech. Parameters were grouped according to the phonetic classes (classes according to the manner of articulation), and the correlation of the grouped parameters with the severity of dysphonia given by the RBH scale was examined, where R stands for roughness, B for breathiness, H for overall hoarseness. The analysis was carried out on a database containing several pathological disease types, the most frequent being recurrent paresis and functional dysphonia. It was found that beyond the initial acoustic parameters such as jitter(ddp), shimmer(dda), Harmonics-to-Noise Ratio (HNR) and mel-frequency cepstral coefficients (mfcc) measured on vowels, it is worth measuring Soft Phonation Index (SPI) and Empirical mode decomposition (EMD) based frequency band ratios on different phonetic classes. These measures were found to correlate with the severity of dysphonia, determined by the clinician (RBH). They provide useful information and could be useful to differentiate different types of dysphonia like functional dysphonia and recurrent paresis.
{"title":"Phonetic-class based correlation analysis for severity of dysphonia","authors":"Miklós Gábriel Tulics, K. Vicsi","doi":"10.1109/COGINFOCOM.2017.8268210","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268210","url":null,"abstract":"The main purpose of the research is to model the cognitive processes that occur when the physician determines the severity of the dysphonia, and to build an IT system that can substitute the subjective severity diagnosis used by a clinician. In this preliminary study the relationship between acoustic parameters and the speech defect severity determined by a clinician is investigated. Being limited in the number of pathological speech samples, it is very important to choose the effective parameters. After a phoneme level segmentation, acoustic parameters were measured at a predetermined fixed points in continuous speech. Parameters were grouped according to the phonetic classes (classes according to the manner of articulation), and the correlation of the grouped parameters with the severity of dysphonia given by the RBH scale was examined, where R stands for roughness, B for breathiness, H for overall hoarseness. The analysis was carried out on a database containing several pathological disease types, the most frequent being recurrent paresis and functional dysphonia. It was found that beyond the initial acoustic parameters such as jitter(ddp), shimmer(dda), Harmonics-to-Noise Ratio (HNR) and mel-frequency cepstral coefficients (mfcc) measured on vowels, it is worth measuring Soft Phonation Index (SPI) and Empirical mode decomposition (EMD) based frequency band ratios on different phonetic classes. These measures were found to correlate with the severity of dysphonia, determined by the clinician (RBH). They provide useful information and could be useful to differentiate different types of dysphonia like functional dysphonia and recurrent paresis.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129140025","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}
Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268263
S. Savic, M. Gnjatović, D. Mišković, Jovica Tasevski, N. Maček
This paper introduces a cognitively-inspired symbolic framework for knowledge representation in human-machine interaction. The framework is developed within the ongoing research on a computational model of a hierarchical associative long-term memory. The model integrates neurocognitive understanding of the human memory system with selected insights from linguistics, and primarily addresses the storage aspect of the long-term memory. The proposed memory structure is conceptualized as a set of (multisource-multisink) semantic flow networks, including knowledge units of different complexity. It also provides algorithm for semantic integration and associative learning. The model is illustrated for a dedicated interaction domain, and implemented within a prototype system.
{"title":"Cognitively-inspired symbolic framework for knowledge representation","authors":"S. Savic, M. Gnjatović, D. Mišković, Jovica Tasevski, N. Maček","doi":"10.1109/COGINFOCOM.2017.8268263","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268263","url":null,"abstract":"This paper introduces a cognitively-inspired symbolic framework for knowledge representation in human-machine interaction. The framework is developed within the ongoing research on a computational model of a hierarchical associative long-term memory. The model integrates neurocognitive understanding of the human memory system with selected insights from linguistics, and primarily addresses the storage aspect of the long-term memory. The proposed memory structure is conceptualized as a set of (multisource-multisink) semantic flow networks, including knowledge units of different complexity. It also provides algorithm for semantic integration and associative learning. The model is illustrated for a dedicated interaction domain, and implemented within a prototype system.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126782103","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}
Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268250
Bálint Szabó, K. Hercegfi
In the narrowly interpreted software development processes, most companies use already proven, partially standardized rivalling models. However, these programming-centered development models do not fit very well with the more broadly interpreted models of product management processes. This article provides a systematic overview of current issues in research focusing on the human aspects: in what way cognitive processes can co-evolve with software and infocommunications devices.
{"title":"Research questions on integrating user experience approaches into software development processes","authors":"Bálint Szabó, K. Hercegfi","doi":"10.1109/COGINFOCOM.2017.8268250","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268250","url":null,"abstract":"In the narrowly interpreted software development processes, most companies use already proven, partially standardized rivalling models. However, these programming-centered development models do not fit very well with the more broadly interpreted models of product management processes. This article provides a systematic overview of current issues in research focusing on the human aspects: in what way cognitive processes can co-evolve with software and infocommunications devices.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121923350","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}
Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268218
Máté Ákos Tündik, G. Kiss, Dávid Sztahó, György Szaszák
Automatic classification methods are frequently used in early diagnosis of different diseases that affect speech production. These methods can also be applied to identify speech samples from patients affected by Parkinson's disease (PD) or depressive disorder (DD). This paper is interested in applying automatic stress detection and prosodic phrasing approaches on pathological speech samples in order to assess to what extent these tools can be useful either in characterizing in an unsupervised manner the prosodic attributes of pathological samples from individuals affected by PD and DD, or classifying samples as belonging to healthy or non-healthy individuals. We formulated hypotheses in connection with the duration of phonological phrases and the number of words grouped by them. We also briefly analyzed the phrase distributions. Our results show that healthy and pathological samples can be separated from each other by means of these prosodic analysers, and deep neural network or support vector machine based classifiers built on top of them.
{"title":"Assessment of pathological speech prosody based on automatic stress detection and phrasing approaches","authors":"Máté Ákos Tündik, G. Kiss, Dávid Sztahó, György Szaszák","doi":"10.1109/COGINFOCOM.2017.8268218","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268218","url":null,"abstract":"Automatic classification methods are frequently used in early diagnosis of different diseases that affect speech production. These methods can also be applied to identify speech samples from patients affected by Parkinson's disease (PD) or depressive disorder (DD). This paper is interested in applying automatic stress detection and prosodic phrasing approaches on pathological speech samples in order to assess to what extent these tools can be useful either in characterizing in an unsupervised manner the prosodic attributes of pathological samples from individuals affected by PD and DD, or classifying samples as belonging to healthy or non-healthy individuals. We formulated hypotheses in connection with the duration of phonological phrases and the number of words grouped by them. We also briefly analyzed the phrase distributions. Our results show that healthy and pathological samples can be separated from each other by means of these prosodic analysers, and deep neural network or support vector machine based classifiers built on top of them.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122525496","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}
Pub Date : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268243
M. Beetz, Matthias Scheutz, Fereshta Yazdani
Mixed human-robot teams are increasingly considered for accomplishing complex mission due to their complementary capabilities. A major barrier for deploying such heterogeneous teams in real-world settings, is the current lack of natural skills in robotic team members, such as the understanding and interpretation of natural language instructions that include referential descriptions of entities in the world. In this paper we report the results of an empirical study in which humans tend to use referring expressions. We show how the received results and ideas can be used as guidelines to improve dialogue systems. By integrating and extending our system with these results, we will show how complex natural language instructions can be easily translated by robotic systems.
{"title":"Guidelines for improving task-based natural language understanding in human-robot rescue teams","authors":"M. Beetz, Matthias Scheutz, Fereshta Yazdani","doi":"10.1109/COGINFOCOM.2017.8268243","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268243","url":null,"abstract":"Mixed human-robot teams are increasingly considered for accomplishing complex mission due to their complementary capabilities. A major barrier for deploying such heterogeneous teams in real-world settings, is the current lack of natural skills in robotic team members, such as the understanding and interpretation of natural language instructions that include referential descriptions of entities in the world. In this paper we report the results of an empirical study in which humans tend to use referring expressions. We show how the received results and ideas can be used as guidelines to improve dialogue systems. By integrating and extending our system with these results, we will show how complex natural language instructions can be easily translated by robotic systems.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130608167","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}
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