Pub Date : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887790
G. Anandhakumar, M. Venkateshkumar, P. Shankar
The global electrical energy demand is increased gradually and the power generation is not meeting consumer demand due to deficit of fossil. In this paper we have been studying and analysis of the Photovoltaic power system operation and electrical characteristics. The PV power system is environmentally friendly such as no pollution and global warming effect. The PV power system is one of the best renewable energy sources and clean energy. This project we have been designed fuzzy logic controller for to track the Maximum power point for a 1.5 KW PV system under various climate. The proposed model has been designed Matlab software and analysis the simulation results then we have proved the effectiveness of the proposed MPPT method for the system.
{"title":"Intelligent controller based MPPT method for the Photovoltaic power system","authors":"G. Anandhakumar, M. Venkateshkumar, P. Shankar","doi":"10.1109/ICHCI-IEEE.2013.6887790","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887790","url":null,"abstract":"The global electrical energy demand is increased gradually and the power generation is not meeting consumer demand due to deficit of fossil. In this paper we have been studying and analysis of the Photovoltaic power system operation and electrical characteristics. The PV power system is environmentally friendly such as no pollution and global warming effect. The PV power system is one of the best renewable energy sources and clean energy. This project we have been designed fuzzy logic controller for to track the Maximum power point for a 1.5 KW PV system under various climate. The proposed model has been designed Matlab software and analysis the simulation results then we have proved the effectiveness of the proposed MPPT method for the system.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116091181","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887817
Restyandito, Norbertus Tri Suswanto Saptadi, T. H. Rochadiani, A. Chan
The rapid development of technology has enable people in developing countries to catch up with the rest of the world, as technologies are becoming more affordable and accessible. But some of them are still facing difficulties when interacting with the technology, due to their inability to read, hence understanding the interface of the technology. This study is going to look at the comparison of some cognitive abilities relevant to ICT use between illiterate and literate user. Some recommendations in designing user interface for illiterate user were presented based on the study.
{"title":"Consideration of cognitive ability in designing user interface for illiterate user","authors":"Restyandito, Norbertus Tri Suswanto Saptadi, T. H. Rochadiani, A. Chan","doi":"10.1109/ICHCI-IEEE.2013.6887817","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887817","url":null,"abstract":"The rapid development of technology has enable people in developing countries to catch up with the rest of the world, as technologies are becoming more affordable and accessible. But some of them are still facing difficulties when interacting with the technology, due to their inability to read, hence understanding the interface of the technology. This study is going to look at the comparison of some cognitive abilities relevant to ICT use between illiterate and literate user. Some recommendations in designing user interface for illiterate user were presented based on the study.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116249975","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887793
Swaran Lata, Swati Arora
This paper is an attempt towards an experimental study of tonal aspects of laryngeal phoneme [J]/h/ in Punjabi. Punjabi belongs to the Indo-Aryan language family but because of its tonal features it is different from other languages of the family. Every tonal aspect of [J]/h/, including most exceptions, has been experimentally examined. Words containing [J]/h/ in various positions have been recorded by native Punjabi (Malwai dialect) speakers. This data has been analyzed using speech analysis tools. Orthographically, [J] /h/ is used in all word positions i.e. initial, medial & final but is tonal in some cases. It has been pointed out in the literature on Punjabi linguistics Harkirat Singh (1991), Dr. Atam Singh (1993); it is pronounced at initial position but is tonal at medial and final position. Phonetically it is represented by a high rising tone /ó/ or low rising tone /ò/ on top of the accompanying vowel. Also, the pronunciation of [J] i.e. half /h/ is so weak that it is perceived as a tone which has also been experimentally verified. This analysis will aid the future speech researchers in building the Punjabi speech systems and speech data.
本文对旁遮普语喉音素的声调方面进行了实验研究[J]。旁遮普语属于印度雅利安语系，但由于其音调特征，它与该语系的其他语言不同。[J]/h/的每个音调方面，包括大多数例外，都经过实验检验。在不同位置包含[J]/h/的单词已被本地旁遮普语(Malwai方言)使用者记录下来。使用语音分析工具对这些数据进行了分析。从正字法上看，[J] /h/用于所有单词位置，即首字母、中间字母和词尾，但在某些情况下是声调的。旁遮普语语言学的文献Harkirat Singh (1991)， Dr. Atam Singh (1993);它在起始位置发音，但在中间和最后位置是音调。在语音上，它由一个高升音/ó/或低升音/ò/在伴随的元音顶部表示。同样，half /h/的发音也很弱，被认为是一种音调，这也得到了实验的证实。这一分析将有助于未来语音研究人员构建旁遮普语语音系统和语音数据。
{"title":"Laryngeal tonal characteristics of Punjabi — An experimental study","authors":"Swaran Lata, Swati Arora","doi":"10.1109/ICHCI-IEEE.2013.6887793","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887793","url":null,"abstract":"This paper is an attempt towards an experimental study of tonal aspects of laryngeal phoneme [J]/h/ in Punjabi. Punjabi belongs to the Indo-Aryan language family but because of its tonal features it is different from other languages of the family. Every tonal aspect of [J]/h/, including most exceptions, has been experimentally examined. Words containing [J]/h/ in various positions have been recorded by native Punjabi (Malwai dialect) speakers. This data has been analyzed using speech analysis tools. Orthographically, [J] /h/ is used in all word positions i.e. initial, medial & final but is tonal in some cases. It has been pointed out in the literature on Punjabi linguistics Harkirat Singh (1991), Dr. Atam Singh (1993); it is pronounced at initial position but is tonal at medial and final position. Phonetically it is represented by a high rising tone /ó/ or low rising tone /ò/ on top of the accompanying vowel. Also, the pronunciation of [J] i.e. half /h/ is so weak that it is perceived as a tone which has also been experimentally verified. This analysis will aid the future speech researchers in building the Punjabi speech systems and speech data.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122723091","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887778
G. Priya, G. Anupriya
Clustering is a popular technique for unsupervised text analysis, often used to explore the content of large amounts of sentences. It is performed based on the similarity of sentences. Sentences may contain interrelated concepts and implementing flat clustering algorithms allows one sentence to be present only in one cluster. Also, sentences are semantically related to each other and so word co-occurrence is not a valid measure for sentence level flat clustering. So, WordNet based semantic similarity measure along with fuzzy sentence clustering algorithm is proposed. The existing system uses the Fuzzy C-Means algorithm where the cluster size should be specified as an input. Due to the rigorous convergence criteria, the time complexity is much larger. Most of the NLP documents are hierarchical in nature and so fuzzy hierarchical sentence clustering algorithm is used here. Labeling is performed for each cluster depending on the hierarchy formed and instead of considering all the terms in a sentence, only the verbs and nouns are considered for the similarity computation. Agglomerative clustering based on the verbs and divisive clustering based on nouns is proposed. This methodology is validated through various performance measures like Purity, Entropy and Time. Upon comparing the results for various datasets, it was observed that the overall improvement in purity is 36.6% and entropy is 31%. The time complexity of the hierarchical algorithm is very much less than the EM algorithm. Thus better quality clusters are formed in comparatively less time by using the Fuzzy Hierarchical Sentence Clustering Algorithm.
{"title":"Clustering sentence level-text using fuzzy hierarchical algorithm","authors":"G. Priya, G. Anupriya","doi":"10.1109/ICHCI-IEEE.2013.6887778","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887778","url":null,"abstract":"Clustering is a popular technique for unsupervised text analysis, often used to explore the content of large amounts of sentences. It is performed based on the similarity of sentences. Sentences may contain interrelated concepts and implementing flat clustering algorithms allows one sentence to be present only in one cluster. Also, sentences are semantically related to each other and so word co-occurrence is not a valid measure for sentence level flat clustering. So, WordNet based semantic similarity measure along with fuzzy sentence clustering algorithm is proposed. The existing system uses the Fuzzy C-Means algorithm where the cluster size should be specified as an input. Due to the rigorous convergence criteria, the time complexity is much larger. Most of the NLP documents are hierarchical in nature and so fuzzy hierarchical sentence clustering algorithm is used here. Labeling is performed for each cluster depending on the hierarchy formed and instead of considering all the terms in a sentence, only the verbs and nouns are considered for the similarity computation. Agglomerative clustering based on the verbs and divisive clustering based on nouns is proposed. This methodology is validated through various performance measures like Purity, Entropy and Time. Upon comparing the results for various datasets, it was observed that the overall improvement in purity is 36.6% and entropy is 31%. The time complexity of the hierarchical algorithm is very much less than the EM algorithm. Thus better quality clusters are formed in comparatively less time by using the Fuzzy Hierarchical Sentence Clustering Algorithm.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117028273","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887808
S. Saxena, P. Saxena, S. Dubey
Stress is defined as organism's total response to environmental conditions or stimuli. It actually defines the condition that has an impact on the individual's mental and physical health. Crossing a stress level (threshold) is responsible for the changes. In this paper we discuss how stress plays an important role in human computer interaction (HCI) and how a human interacts with any problem domain. We will discuss human approach on stand-alone systems and certain devices on which user's final outcome will be fixed and well defined. This study is based upon study on two different age group students (16 to 23 and 21 to 28 age group). We find there is unique similarity in behavior of all people towards computer system. As per study we classify human stress in six categories. The stress is changes from one form to other form as per the task. Human stress affects problem solution, solution time and system usability. Human generate various path towards the solution as well as creates various path towards solution to problem statement and this process is discussed in detail in this paper.
{"title":"Various levels of human stress & their impact on human computer interaction","authors":"S. Saxena, P. Saxena, S. Dubey","doi":"10.1109/ICHCI-IEEE.2013.6887808","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887808","url":null,"abstract":"Stress is defined as organism's total response to environmental conditions or stimuli. It actually defines the condition that has an impact on the individual's mental and physical health. Crossing a stress level (threshold) is responsible for the changes. In this paper we discuss how stress plays an important role in human computer interaction (HCI) and how a human interacts with any problem domain. We will discuss human approach on stand-alone systems and certain devices on which user's final outcome will be fixed and well defined. This study is based upon study on two different age group students (16 to 23 and 21 to 28 age group). We find there is unique similarity in behavior of all people towards computer system. As per study we classify human stress in six categories. The stress is changes from one form to other form as per the task. Human stress affects problem solution, solution time and system usability. Human generate various path towards the solution as well as creates various path towards solution to problem statement and this process is discussed in detail in this paper.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"28 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114127803","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887823
T. Vijayan, N. A. Kumar, K. Sivachandar
Face tracking has become an active area of research it is very much helpful in applications such as video surveillance. The factors like illumination discrepancy, face pose variations, occlusions, and background clutter makes face tracking a challenging issue. Even though, a number of related work have been proposed to assist face tracking in unrestrained videos, the existing approaches may not be productive in video surveillance applications. This is mainly because of the fact that low-resolution face comprises of lesser informative data, and main transformations in illumination on the face make the tracking unproductive. In order to overcome this issue, this paper proposes a novel algorithm for illumination normalization and it is combined with the GLF for face tracking for improving the overall performance of the tracker system. Experimental results show that the proposed GLF-based tracker works well under significant clarification changes and outperforms many existing tracking algorithms.
{"title":"An improved low-resolution face tracker system using gradient logarithm field feature space and bi-cubic interpolation","authors":"T. Vijayan, N. A. Kumar, K. Sivachandar","doi":"10.1109/ICHCI-IEEE.2013.6887823","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887823","url":null,"abstract":"Face tracking has become an active area of research it is very much helpful in applications such as video surveillance. The factors like illumination discrepancy, face pose variations, occlusions, and background clutter makes face tracking a challenging issue. Even though, a number of related work have been proposed to assist face tracking in unrestrained videos, the existing approaches may not be productive in video surveillance applications. This is mainly because of the fact that low-resolution face comprises of lesser informative data, and main transformations in illumination on the face make the tracking unproductive. In order to overcome this issue, this paper proposes a novel algorithm for illumination normalization and it is combined with the GLF for face tracking for improving the overall performance of the tracker system. Experimental results show that the proposed GLF-based tracker works well under significant clarification changes and outperforms many existing tracking algorithms.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"252 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133091369","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887773
R. H. P. Ebenezer, P. Manoj, H. R. Joseph, J. Visumathi
As of now, unbounded solutions for efficient image recognition and retrieval have been proposed within various fields of computer science. Such solutions include both primitive and complex approaches to minimize the input required from the whole of the image to form the most accurate idea of the big picture. The proposed image recognizing agent accomplishes its task though the application of a scalable neural network. Each neuron of the network focuses on a subset of the image taken as a segment. The neuron finds the closest match of the obtained subject with respect to the dynamic knowledge base. The network of neurons ensembles their decisions and provide the recognized image statement. The feedback provided to the network develops the synaptic strengths to further develop the image recognizing ability in terms of performance and accuracy. The system uses the concept of both assisted supervised learning and reinforced learning, and exploits the asynchronous and parallel computing ability of artificial neural networks.
{"title":"AI image recognizing agent through a scalable neural network","authors":"R. H. P. Ebenezer, P. Manoj, H. R. Joseph, J. Visumathi","doi":"10.1109/ICHCI-IEEE.2013.6887773","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887773","url":null,"abstract":"As of now, unbounded solutions for efficient image recognition and retrieval have been proposed within various fields of computer science. Such solutions include both primitive and complex approaches to minimize the input required from the whole of the image to form the most accurate idea of the big picture. The proposed image recognizing agent accomplishes its task though the application of a scalable neural network. Each neuron of the network focuses on a subset of the image taken as a segment. The neuron finds the closest match of the obtained subject with respect to the dynamic knowledge base. The network of neurons ensembles their decisions and provide the recognized image statement. The feedback provided to the network develops the synaptic strengths to further develop the image recognizing ability in terms of performance and accuracy. The system uses the concept of both assisted supervised learning and reinforced learning, and exploits the asynchronous and parallel computing ability of artificial neural networks.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132457338","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887802
Jaganathan Palanichamy, Kuppuchamy Ramasamy
The purpose of the feature selection is to eliminate insignificant features from entire dataset and simultaneously to keep the class discriminatory information for classification problems. Many feature selection algorithms have been proposed to measure the relevance and redundancy of the features and class variables. In this paper, we proposed an improved feature selection algorithm based on maximum relevance and minimum redundancy criterion. The relevance of a feature to the class variables are evaluated with mutual information and conditional mutual information is used to calculate the redundancy between the selected and the candidate features to each class variable. The experimental result is tested with five benchmarked datasets available from UCI Machine Learning Repository. The results shows the proposed algorithm is considered quite well when compared with some existing algorithms.
{"title":"An improved feature selection algorithm with conditional mutual information for classification problems","authors":"Jaganathan Palanichamy, Kuppuchamy Ramasamy","doi":"10.1109/ICHCI-IEEE.2013.6887802","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887802","url":null,"abstract":"The purpose of the feature selection is to eliminate insignificant features from entire dataset and simultaneously to keep the class discriminatory information for classification problems. Many feature selection algorithms have been proposed to measure the relevance and redundancy of the features and class variables. In this paper, we proposed an improved feature selection algorithm based on maximum relevance and minimum redundancy criterion. The relevance of a feature to the class variables are evaluated with mutual information and conditional mutual information is used to calculate the redundancy between the selected and the candidate features to each class variable. The experimental result is tested with five benchmarked datasets available from UCI Machine Learning Repository. The results shows the proposed algorithm is considered quite well when compared with some existing algorithms.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127512170","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887780
Verghese Koshy Puthukkeril, E. H. Shyam Sundar, P. R. Nandha Kumar
The requirement of simple, yet sophisticated user interface has driven the IT professionals to develop enhanced devices ranging from the basic punch-card system which were used for the earliest computer devices, to the widely used keyboard, mouse and the latest touch screen technology which are emerging on today's computers. These improved gadgets and technology basically reduce the invisible barrier between the everyday user and the system. However, these devices have their limitations and inconvenient for the user to interact with the system. To simplify this, a new system is developed which takes human gestures into consideration to perform the corresponding operation on the computer device. Hand Gesture Mouse Interface is developed to capture the hand gesture from the user through web camera. The primitive hand movement for the respective gesture is used. The relative positioning of the hand is being used in the system to ensure that the gesture recognition is made accurately. The Hand Gesture Mouse Interface simplifies the procedure which outperforms the mouse operation that is in vogue and also provides a low cost and easy to use interfacing for the user.
{"title":"Hand Gesture Mouse Interface system","authors":"Verghese Koshy Puthukkeril, E. H. Shyam Sundar, P. R. Nandha Kumar","doi":"10.1109/ICHCI-IEEE.2013.6887780","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887780","url":null,"abstract":"The requirement of simple, yet sophisticated user interface has driven the IT professionals to develop enhanced devices ranging from the basic punch-card system which were used for the earliest computer devices, to the widely used keyboard, mouse and the latest touch screen technology which are emerging on today's computers. These improved gadgets and technology basically reduce the invisible barrier between the everyday user and the system. However, these devices have their limitations and inconvenient for the user to interact with the system. To simplify this, a new system is developed which takes human gestures into consideration to perform the corresponding operation on the computer device. Hand Gesture Mouse Interface is developed to capture the hand gesture from the user through web camera. The primitive hand movement for the respective gesture is used. The relative positioning of the hand is being used in the system to ensure that the gesture recognition is made accurately. The Hand Gesture Mouse Interface simplifies the procedure which outperforms the mouse operation that is in vogue and also provides a low cost and easy to use interfacing for the user.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123950233","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887787
S. Sivanesh, K. Kavin, A. Hassan
In recent years, the popularity of social networking sites proves a lofty raise in their users. Twitter, a micro blogging service less than seven years old, commands more than 500 million users as of July 2012 and is still growing fast. In Twitter, users exchange their ideas through a text based posts called tweets which can have maximum 140 characters. The prevalence and open structure of Twitter paved a way for automated programs, known as bots, which becomes a tremendous threat for its users. In this paper, we differentiate the trustworthy human users and the automated programs (bots) to make the user understand with whom they are interacting with. We developed a few sample of bot programs to compare their characteristics with the characteristics of normal human user. We observed the difference among human and bot in terms of tweeting behavior, tweet content, account properties and its networking flow characteristics. Based on the experimental results, we effectively differentiate the users into human and bot.
{"title":"Frustrate Twitter from automation: How far a user can be trusted?","authors":"S. Sivanesh, K. Kavin, A. Hassan","doi":"10.1109/ICHCI-IEEE.2013.6887787","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887787","url":null,"abstract":"In recent years, the popularity of social networking sites proves a lofty raise in their users. Twitter, a micro blogging service less than seven years old, commands more than 500 million users as of July 2012 and is still growing fast. In Twitter, users exchange their ideas through a text based posts called tweets which can have maximum 140 characters. The prevalence and open structure of Twitter paved a way for automated programs, known as bots, which becomes a tremendous threat for its users. In this paper, we differentiate the trustworthy human users and the automated programs (bots) to make the user understand with whom they are interacting with. We developed a few sample of bot programs to compare their characteristics with the characteristics of normal human user. We observed the difference among human and bot in terms of tweeting behavior, tweet content, account properties and its networking flow characteristics. Based on the experimental results, we effectively differentiate the users into human and bot.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117059886","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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