2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)最新文献_第5页

What Does the Pedagogical Agent Say? 教育代理人怎么说?

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900767

Athanasios Christopoulos, M. Conrad, Mitul Shukla

{"title":"What Does the Pedagogical Agent Say?","authors":"Athanasios Christopoulos, M. Conrad, Mitul Shukla","doi":"10.1109/IISA.2019.8900767","DOIUrl":"https://doi.org/10.1109/IISA.2019.8900767","url":null,"abstract":"The successful employment of Virtual Reality Environments in distance education contexts led to the development of various frameworks and taxonomies related to the Virtual-Learning approach. However, when it comes to Blended or ‘Hybrid’ Virtual Learning (HVL) scenarios, where the learners are concurrently co-present both in the physical and in the virtual environment, the lines are hard to be drawn as this has been a relatively unexplored area. Considering the aforementioned change in the setup of the educational context, different implications, challenges and outcomes are expected to be observed. Motivated by this shortcoming, we conducted a series of experiments with Computer Science and Technology students and investigated the impact of interactions on learners’ motivation to engage with the 3D virtual world and the educational activities by extension. In this paper, we discuss students’ preconceptions towards the inclusion of 3D Virtual Learning Environments in the context of their studies and further elicit their thoughts related to the impact of the ‘hybrid’ interactions. In addition, we investigate the educational value of different Non-Player Characters (Pedagogical Agents) and their impact on the attractiveness of the virtual world and the educational tasks. The concluding remarks provide guidance to educators and instructional designers who work in such setups or consider to employ Pedagogical Agents. To this end, employing Pedagogical Agents requires careful consideration as they need to be meaningful and fully incorporated in the learner’s task. Another take-away message concerns the elements that foster a situated learning experience as they are associated with immersive experiences.","PeriodicalId":371385,"journal":{"name":"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123069964","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}

引用次数: 5

RNNs for Classification of Driving Behaviour 用于驾驶行为分类的rnn

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900693

Dimitris Mantzekis, M. Savelonas, S. Karkanis, E. Spyrou

引用次数: 6

A Weighted Late Fusion Framework for Recognizing Human Activity from Wearable Sensors 基于可穿戴传感器的人体活动识别加权后期融合框架

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900725

A. Tsanousa, G. Meditskos, S. Vrochidis, Y. Kompatsiaris

{"title":"A Weighted Late Fusion Framework for Recognizing Human Activity from Wearable Sensors","authors":"A. Tsanousa, G. Meditskos, S. Vrochidis, Y. Kompatsiaris","doi":"10.1109/IISA.2019.8900725","DOIUrl":"https://doi.org/10.1109/IISA.2019.8900725","url":null,"abstract":"Following the technological advancement and the constantly emerging assisted living applications, sensor-based activity recognition research receives great attention. Until recently, the majority of relevant research involved extracting knowledge out of single modalities, however, when individual sensors performances are not satisfactory, combining information from multiple sensors can be of use and improve the activity recognition rate. Early and late fusion classifier strategies are usually employed to successfully merge multiple sensors. This paper proposes a novel framework for combining accelerometers and gyroscopes at decision level, in order to recognize human activity. More specifically, we propose a weighted late fusion framework that utilizes the detection rate of a classifier. Furthermore, we propose the modification of an already existing class-based weighted late fusion framework. Experimental results on a publicly available and widely used dataset demonstrated that the combination of accelerometer and gyroscope under the proposed frameworks improves the classification performance.","PeriodicalId":371385,"journal":{"name":"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124851355","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}

引用次数: 9

Optimal Duopolistic Competition Strategies in Social Networks 社会网络中最优双寡头竞争策略

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900690

Dionisios N. Sotiropoulos, Ifigeneia Georgoula, Christos Bilanakos

{"title":"Optimal Duopolistic Competition Strategies in Social Networks","authors":"Dionisios N. Sotiropoulos, Ifigeneia Georgoula, Christos Bilanakos","doi":"10.1109/IISA.2019.8900690","DOIUrl":"https://doi.org/10.1109/IISA.2019.8900690","url":null,"abstract":"This paper presents a non-linear optimization methodology for determining the Nash Equilibrium (NE) solutions of a non-cooperative two-player game. Each player, in particular, is trying to maximize a rational profit function within a continuous action space. The game arises in the context of a duopolistic network environment where two identical rival firms are competing to maximize their influence over a single consumer. Specifically, we consider a weighted and strongly connected network which mediates the opinion formation processes concerning the perceived qualities of their products. Obtaining the NE solutions for such a game is an extremely difficult task which cannot be analytically addressed, even if additional simplifying assumptions are imposed on the exogenous parameters of the model. Our approach, obtains the required NE solutions by combining the Karush-Kuhn-Tucker (KKT) conditions associated with the original optimization tasks into a single-objective nonlinear maximization problem under nonlinear constrains. The resulting optimization problem is, ultimately, solved through the utilization of the Sequential Quadratic Programming (SQP) algorithm which constitutes a state-of-the-art method for nonlinear optimization problems. The validity of our work is justified through the conduction of a series of experiments in which we simulated the best response-based dynamical behaviour of the two agents in the network that make strategic decisions. Juxtaposing the intersection points of the acquired best response curves against the NE solutions obtained by the proposed non-linear optimization methodology verifies that the corresponding solution points coincide.","PeriodicalId":371385,"journal":{"name":"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127606995","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}

引用次数: 0

Audio Signal Recognition Based on Intervals’ Numbers (INs) Classification Techniques 基于区间数分类技术的音频信号识别

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900749

C. Lytridis, E. Vrochidou, George K. Sidiropoulos, G. Papakostas, V. Kaburlasos, Efi Kourampa, Elpida Karageorgiou

引用次数: 4

Evaluation of Regression Algorithms and Features on the Energy Disaggregation Task 能量分解任务的回归算法及特征评价

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900695

P. Schirmer, I. Mporas, M. Paraskevas

引用次数: 9

Transformable Lighting Conditions in Learning VR Environments 学习VR环境中的可变照明条件

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900736

Anna-Maria Velentza, Antonios Nikitakis, Konstantinos Alketas-Oungrinis, E. Economou

{"title":"Transformable Lighting Conditions in Learning VR Environments","authors":"Anna-Maria Velentza, Antonios Nikitakis, Konstantinos Alketas-Oungrinis, E. Economou","doi":"10.1109/IISA.2019.8900736","DOIUrl":"https://doi.org/10.1109/IISA.2019.8900736","url":null,"abstract":"Virtual Reality Learning Environments (VLE) are a promising approach for the 21st century classroom. Therefore, it is important to identify the best way that these learning environments will enhance students’ cognitive functions. In this paper, we investigate the effect of lighting conditions, within a VLE, on several cognitive functions while we introduce the novel idea of transformable luminance conditions. We have been inspired by evidence from cognitive and environmental studies, from real environments, that lighting conditions affect people’s memory, attention and executive functions. Our transformable luminance approach, when applied in a virtual university amphitheatre, is benchmarked against the conventional approach of a single luminance VLE (either high or low). The first main outcome of our study is that traditional single luminance lighting conditions exert the same effect in both real and virtual learning environments. That is, high luminance enhances sustained attention and short term memory, while low luminance enhances long term memory. The results also indicate that our novel transformable luminance approach enhances student performance in executive tasks, compared to any single luminance condition (i.e. low or high).","PeriodicalId":371385,"journal":{"name":"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116080059","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}

引用次数: 1

Spiking Neuron Model with Gamma-distributed Synaptic Weights for Different Thresholds 不同阈值下突触权分布的脉冲神经元模型

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900704

S. Panda, Chittotosh Ganguly, S. Chakrabarti

引用次数: 1

Legal issues within ambient intelligence environments 环境情报环境中的法律问题

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900748

Lambrini Seremeti, I. Kougias

引用次数: 0

Modelling prediction of enterprises payment behavior for applying machine learning methods 应用机器学习方法对企业支付行为进行建模预测

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900680

A. Christidi, Constantinos Christidis, Tilemahos Manolatos, I. Hatzilygeroudis, E. Voyiatzaki

引用次数: 0