Pub Date : 2015-10-01DOI: 10.1109/COGINFOCOM.2015.7390558
C. Friberg
Cloud4all[1] is an international project funded by the 7th Framework Programme of the European Union. Its goal is to build a cloud-based framework for user preference handling to allow a user's needs and preferences to be accessed by participating applications and devices, in order to customize themselves to suit the user's needs. The customizations can be triggered by input from external sensors, allowing the system to make adjustments based on environmental factors. We have integrated our video communication apps, eCtouch and eCmobile, with the Cloud4all framework. The apps can now adapt their interfaces and functionality to suit users' preferences. This has resulted in improved usability for targeted user groups and a more targeted focus on accessibility from the developer side.
{"title":"Cloud4all: Accessibility through cloud-based personalization","authors":"C. Friberg","doi":"10.1109/COGINFOCOM.2015.7390558","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2015.7390558","url":null,"abstract":"Cloud4all[1] is an international project funded by the 7th Framework Programme of the European Union. Its goal is to build a cloud-based framework for user preference handling to allow a user's needs and preferences to be accessed by participating applications and devices, in order to customize themselves to suit the user's needs. The customizations can be triggered by input from external sensors, allowing the system to make adjustments based on environmental factors. We have integrated our video communication apps, eCtouch and eCmobile, with the Cloud4all framework. The apps can now adapt their interfaces and functionality to suit users' preferences. This has resulted in improved usability for targeted user groups and a more targeted focus on accessibility from the developer side.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122052470","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 : 2015-10-01DOI: 10.1109/COGINFOCOM.2015.7390618
Márton Makrai
An earlier paper used triangulated word translations as seed in linear translation between medium European languages. The present work improves upon it by handling word ambiguity both in the main (i.e. source and target) languages and in the pivot by training a multi-prototype vector space model in the former, filtering triangles based on scores computed by a linear model trained with direct (non-triangulated) translations, and finally translating the whole vocabulary with a linear translation trained on filtered triangles (in addition to direct ones).
{"title":"Disambiguated linear word translation in medium European languages","authors":"Márton Makrai","doi":"10.1109/COGINFOCOM.2015.7390618","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2015.7390618","url":null,"abstract":"An earlier paper used triangulated word translations as seed in linear translation between medium European languages. The present work improves upon it by handling word ambiguity both in the main (i.e. source and target) languages and in the pivot by training a multi-prototype vector space model in the former, filtering triangles based on scores computed by a linear model trained with direct (non-triangulated) translations, and finally translating the whole vocabulary with a linear translation trained on filtered triangles (in addition to direct ones).","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128531247","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 : 2015-10-01DOI: 10.1109/COGINFOCOM.2015.7390576
B. Almási, Mark Kosa, Ferenc Fejes, R. Katona, Levente Pusok
The Cognitive Infocommunications became a really hot research area during the past years. As a result of these researches, systems built on the 3D video and multichannel audio transmission will appear as an everyday used technology in the near future. Although the growth of the speed in the physical layer transmission technology seems to be capable to satisfy the increasing speed requirements of the applications, we have to consider the negative effect of networking breakdowns: the network service breakdowns can produce serious problems in the performance of the CogInfoCom systems. In this paper we introduce the MPT network layer multipath communication library, which allows the usage of multiple paths in one communication session. Earlier studies showed that the multipath communication technology is capable to effectively aggregate the throughput of the different paths. Now we examine how the MPT based multipath communication environment reacts to network breakdowns. Our measurement results showed that the TCP based video stream transmission was not influenced by the scheduled network breakdown, even more the unexpected breakdown caused only a little stuttering.
{"title":"MPT: A solution for eliminating the effect of network breakdowns in case of HD video stream transmission","authors":"B. Almási, Mark Kosa, Ferenc Fejes, R. Katona, Levente Pusok","doi":"10.1109/COGINFOCOM.2015.7390576","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2015.7390576","url":null,"abstract":"The Cognitive Infocommunications became a really hot research area during the past years. As a result of these researches, systems built on the 3D video and multichannel audio transmission will appear as an everyday used technology in the near future. Although the growth of the speed in the physical layer transmission technology seems to be capable to satisfy the increasing speed requirements of the applications, we have to consider the negative effect of networking breakdowns: the network service breakdowns can produce serious problems in the performance of the CogInfoCom systems. In this paper we introduce the MPT network layer multipath communication library, which allows the usage of multiple paths in one communication session. Earlier studies showed that the multipath communication technology is capable to effectively aggregate the throughput of the different paths. Now we examine how the MPT based multipath communication environment reacts to network breakdowns. Our measurement results showed that the TCP based video stream transmission was not influenced by the scheduled network breakdown, even more the unexpected breakdown caused only a little stuttering.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115702327","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 : 2015-10-01DOI: 10.1109/COGINFOCOM.2015.7390561
Liubov Lisitsyna, A. Lyamin, Elena N. Cherepovskaya, I. Martynikhin
In this paper we describe the second stage of developing new Situation Awareness Training and investigation of its effectiveness on improving cognitive intercommunication with e-learning system. Situation Awareness training enhance of attentiveness as well as increase of exam's GPA and nonverbal intelligence indexes had been observed. Improvement of the exam results, mediated by attention increase, suggests the possibility of enhancing students' cognitive intercommunication with online examination systems via the Situation Awareness trainings.
{"title":"Cognitive trainings can improve intercommunication with e-learning system","authors":"Liubov Lisitsyna, A. Lyamin, Elena N. Cherepovskaya, I. Martynikhin","doi":"10.1109/COGINFOCOM.2015.7390561","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2015.7390561","url":null,"abstract":"In this paper we describe the second stage of developing new Situation Awareness Training and investigation of its effectiveness on improving cognitive intercommunication with e-learning system. Situation Awareness training enhance of attentiveness as well as increase of exam's GPA and nonverbal intelligence indexes had been observed. Improvement of the exam results, mediated by attention increase, suggests the possibility of enhancing students' cognitive intercommunication with online examination systems via the Situation Awareness trainings.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126714189","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 : 2015-10-01DOI: 10.1109/COGINFOCOM.2015.7390611
M. Köles, K. Hercegfi
Engaging in collaborative work using a virtual CAVE environment can be a stimulating experience for the user. However, recording eye movements in such an environment poses new challenges for the experimenter. In our study we used a collaborative information management task where one of the participants was in a CAVE. A three wall setup with electromagnetic head tracking and head mounted eye tracker was used. Each time there was a subtask inserted before and after the main task where specific points in space were pointed out to the participant to measure gaze tracking accuracy. In this paper we report our experiences and some preliminary results about eye tracking accuracy in the CAVE environment.
{"title":"Eye tracking precision in a virtual CAVE environment","authors":"M. Köles, K. Hercegfi","doi":"10.1109/COGINFOCOM.2015.7390611","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2015.7390611","url":null,"abstract":"Engaging in collaborative work using a virtual CAVE environment can be a stimulating experience for the user. However, recording eye movements in such an environment poses new challenges for the experimenter. In our study we used a collaborative information management task where one of the participants was in a CAVE. A three wall setup with electromagnetic head tracking and head mounted eye tracker was used. Each time there was a subtask inserted before and after the main task where specific points in space were pointed out to the participant to measure gaze tracking accuracy. In this paper we report our experiences and some preliminary results about eye tracking accuracy in the CAVE environment.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132443736","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 : 2015-10-01DOI: 10.1109/COGINFOCOM.2015.7390603
Dorottya Bodolai, László Gazdi, B. Forstner, Luca Szegletes
Children with learning disabilities require the supervision of special expert teachers during their learning process. The recent years, educational pieces of software for students with dyslexia, dysgraphia, dyscalculia or Attention Deficit Hyperactivity Disorder (ADHD) were developed. The problem of using such applications is twofold. First, there is no solution for distance supervising those students who have no direct access to the appropriate experts. Second, in classroom situations or frontal education, the attention of the supervisor is shared. In this paper we present a framework that gives universal solution to supervising students learning with mobile applications. In addition, biofeedback technologies are applied to represent the mental state of the children for the teacher, enabling her to infer their mood to keep the learning process on an optimal track.
{"title":"Supervising Biofeedback-based serious games","authors":"Dorottya Bodolai, László Gazdi, B. Forstner, Luca Szegletes","doi":"10.1109/COGINFOCOM.2015.7390603","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2015.7390603","url":null,"abstract":"Children with learning disabilities require the supervision of special expert teachers during their learning process. The recent years, educational pieces of software for students with dyslexia, dysgraphia, dyscalculia or Attention Deficit Hyperactivity Disorder (ADHD) were developed. The problem of using such applications is twofold. First, there is no solution for distance supervising those students who have no direct access to the appropriate experts. Second, in classroom situations or frontal education, the attention of the supervisor is shared. In this paper we present a framework that gives universal solution to supervising students learning with mobile applications. In addition, biofeedback technologies are applied to represent the mental state of the children for the teacher, enabling her to infer their mood to keep the learning process on an optimal track.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134416394","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 : 2015-10-01DOI: 10.1109/COGINFOCOM.2015.7390566
V. Shakhnov, L. Zinchenko, V. Makarchuk, V. Verstov
In the paper, we discuss visualization techniques for SOI VLSI layout design. Our goal is visual analytics support of time-consuming SOI VLSI layout design process. Our analytics are based on graph models for VLSI layout representation. We propose classification and clustering approaches for data visualization. We illustrate our approach for contradictions visualization for multiple patterning technology case study.
{"title":"Visual analytics support for the SOI VLSI layout design for multiple patterning technology","authors":"V. Shakhnov, L. Zinchenko, V. Makarchuk, V. Verstov","doi":"10.1109/COGINFOCOM.2015.7390566","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2015.7390566","url":null,"abstract":"In the paper, we discuss visualization techniques for SOI VLSI layout design. Our goal is visual analytics support of time-consuming SOI VLSI layout design process. Our analytics are based on graph models for VLSI layout representation. We propose classification and clustering approaches for data visualization. We illustrate our approach for contradictions visualization for multiple patterning technology case study.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114345758","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 : 2015-10-01DOI: 10.1109/COGINFOCOM.2015.7390631
Christopher Chow, Tom Gedeon
Improvements in the collection and analysis of physiological signals has increased the potential for computer systems to assist human analysts in various workplace tasks. We have constructed a data set of documents with three main categories of documents, being related to national security, natural disasters and computer science, ranging from stressful to non-stressful. We include some documents which contain more than one of these categories and some which contain none of these categories. The document collection is designed to mimic the range of documents an intelligence analyst would need to read quickly and categorize in the few days after the seizure of computers from suspects in a national security investigation. Our participants were university students, primarily our own computer science students, hence the inclusion of the computer science category. We found that on our dataset our participants were 79% correct on average, which we could replicate with 88% accuracy, that is, by a 70% correctness on the underlying task. The worst results by our participants was on the computer science task which was surprising, but this did not reduce the performance of our replicating the results using AI techniques.
{"title":"Classifying document categories based on physiological measures of analyst responses","authors":"Christopher Chow, Tom Gedeon","doi":"10.1109/COGINFOCOM.2015.7390631","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2015.7390631","url":null,"abstract":"Improvements in the collection and analysis of physiological signals has increased the potential for computer systems to assist human analysts in various workplace tasks. We have constructed a data set of documents with three main categories of documents, being related to national security, natural disasters and computer science, ranging from stressful to non-stressful. We include some documents which contain more than one of these categories and some which contain none of these categories. The document collection is designed to mimic the range of documents an intelligence analyst would need to read quickly and categorize in the few days after the seizure of computers from suspects in a national security investigation. Our participants were university students, primarily our own computer science students, hence the inclusion of the computer science category. We found that on our dataset our participants were 79% correct on average, which we could replicate with 88% accuracy, that is, by a 70% correctness on the underlying task. The worst results by our participants was on the computer science task which was surprising, but this did not reduce the performance of our replicating the results using AI techniques.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122828851","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 : 2015-10-01DOI: 10.1109/COGINFOCOM.2015.7390562
S. Rinderle-Ma, Tobias Hildebrandt
For server and network administrators, it is a challenge to keep an overview of their systems to detect potential intrusions and security risks in real-time as well as in retrospect. Most security tools leverage our inherent ability for pattern detection by visualizing different types of security data. Several studies suggest that complementing visualization with sonification (the presentation of data using sound) can alleviate some of the challenges of visual monitoring (such as the need for constant visual focus). This paper therefore provides an overview of the current state of research regarding auditory-based and multimodal tools in computer security. Most existing research in this area is geared towards supporting users in real-time network and server monitoring, while there are only few approaches that are designed for retrospective data analysis. There exist several sonification-based tools in a mature state, but their effectiveness has hardly been tested in formal user and usability studies. Such studies are however needed to provide a solid basis for deciding which type of sonification is most suitable for which kind of scenarios and how to best combine the two modalities, visualization and sonification, to support users in their daily routines.
{"title":"Server sounds and network noises","authors":"S. Rinderle-Ma, Tobias Hildebrandt","doi":"10.1109/COGINFOCOM.2015.7390562","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2015.7390562","url":null,"abstract":"For server and network administrators, it is a challenge to keep an overview of their systems to detect potential intrusions and security risks in real-time as well as in retrospect. Most security tools leverage our inherent ability for pattern detection by visualizing different types of security data. Several studies suggest that complementing visualization with sonification (the presentation of data using sound) can alleviate some of the challenges of visual monitoring (such as the need for constant visual focus). This paper therefore provides an overview of the current state of research regarding auditory-based and multimodal tools in computer security. Most existing research in this area is geared towards supporting users in real-time network and server monitoring, while there are only few approaches that are designed for retrospective data analysis. There exist several sonification-based tools in a mature state, but their effectiveness has hardly been tested in formal user and usability studies. Such studies are however needed to provide a solid basis for deciding which type of sonification is most suitable for which kind of scenarios and how to best combine the two modalities, visualization and sonification, to support users in their daily routines.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"352 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122849969","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 : 2015-10-01DOI: 10.1109/COGINFOCOM.2015.7390590
Stavroula-Evita Fotinea, E. Efthimiou, Maria Koutsombogera, Athanasia-Lida Dimou, Theodore Goulas, P. Maragos, C. Tzafestas
This paper reports on work related to the modelling of Human-Robot Communication on the basis of multimodal and multisensory human behaviour analysis. A primary focus in this framework of analysis is the definition of semantics of human actions, i.e. verbal and non-verbal signals, in a specific context with distinct Human-Robot interaction states. These states are captured and represented in terms of communicative behavioural patterns that influence, and in turn are adapted to the interaction flow with the goal to feed a multimodal human-robot communication system. This multimodal HRI model is defined upon, and ensures the usability of a multimodal sensory corpus acquired as a primary source of data retrieval, analysis and testing of mobility assistive robot prototypes.
{"title":"The MOBOT human-robot communication model","authors":"Stavroula-Evita Fotinea, E. Efthimiou, Maria Koutsombogera, Athanasia-Lida Dimou, Theodore Goulas, P. Maragos, C. Tzafestas","doi":"10.1109/COGINFOCOM.2015.7390590","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2015.7390590","url":null,"abstract":"This paper reports on work related to the modelling of Human-Robot Communication on the basis of multimodal and multisensory human behaviour analysis. A primary focus in this framework of analysis is the definition of semantics of human actions, i.e. verbal and non-verbal signals, in a specific context with distinct Human-Robot interaction states. These states are captured and represented in terms of communicative behavioural patterns that influence, and in turn are adapted to the interaction flow with the goal to feed a multimodal human-robot communication system. This multimodal HRI model is defined upon, and ensures the usability of a multimodal sensory corpus acquired as a primary source of data retrieval, analysis and testing of mobility assistive robot prototypes.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122860497","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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