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BRAIN: The Analysis of E-Commerce Sites with Eye-Tracking Technologies

In this era of technology, it cannot come as a surprise that E-Commerce sites have become a significant part of the user’s online activity. In order for these websites to remain relevant to the visitors over long periods of time, attention should be brought to their efficiency and effectiveness when it comes to their interactivity dimensions. The study The Analysis of E-Commerce Sites with Eye-Tracking Technologies – written by O. Dospinescu and A. E. Percă-Robu – is examining the effects of the interactivity dimensions on users’ content comprehension and their attitudes towards e-commerce websites by using eye-tracking technologies.

Various fields use the eye tracking technology to assess the visual attention, but when considering the decision-making process, the specialized literature acknowledge that the eye movements are directly linked to peoples’ cognitive goals. By investigating the website’s interactivity dimensions, the authors explore the visual process and drawing the time spent on the site or on various regions of it. Dospinescu and Percă-Robu assume that a high level of interactivity leads to a favourable attitude towards the website, therefore it is important for the content creators to pay attention to the ease of use and the visual elements of their E-Commerce bussiness.

Eye Tribe Tracker
Eye Tribe Tracker

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  • 20
    Sebastian Fuicu, Mircea Popa, Dalibor Dobrilovic, Marius Marcu and Razvan Bogdan offer a paper named "Developing Distance Learning Environments in the Context of Cross-Border Cooperation" which consists of a collaboration between Politehnica University of Timisoara, Romania and the Technical Faculty "Mihajlo Pupin" of Zrenjanin, Serbia. This paper comes up with a low maintenance cooperation model based on a web cast system that gives both countries the opportunity to access one another's educational material, which is very helpful for pupils and students. Developing different programs and techniques to achieve the best results of distance learning has become a very important point…
    Tags: brain

BRAIN: A Robust Approach of Facial Orientation Recognition from Facial Features

In the field of computer vision and pattern recognition, face orientation recognition stands as a significant topic. In the paper A Robust Approach of Facial Orientation Recognition from Facial Features, the authors Stefan Andrei, Kishor Datta Gupta, Md Manjurul Ahsan and Kazi Md. Rokibul Alam introduce us to an image mapping technique for face analysis.

The methodology of the study consists of two main phases: Face Feature Extraction and creating the graph image, and Matching Graph image with stored images. The Face Feature Extraction presents four steps that include Face Detection, Feature Extraction, Obtaining Feature Data and Creating image with these data.

The first step in facial feature detection is detecting the face. This requires analyzing the entire image. The second step is using the isolated face(s) to detect each feature. The technique of this study relies on the four main features of the face: left eye, right eye, nose, and mouth. It is mandatory to obtain the positions, size, height, width, and angle of these features respective to each face. By acquiring the data from the features, a new picture including the model and shape of the face is created.

Experiment Results: Sample image data 1
Experiment Results: Sample image data 1

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  • 32
    In neurology and neuroscience research, Steady-State Visually Evoked Potential (SSVEP) are brain signals which occur in response to visual stimulation. The paper Novel Detection Features for SSVEP Based BCI: Coefficient of Variation and Variation Speed - written by Abdullah Talha Sözer and Can Bülent Fidan - aims to introduce novel detection features for the SSVEP based brain computer interfaces. Brain-computer interface (BCI) is a collaboration between a brain and a device that enables signals from the brain to direct some external activity, such as control of a cursor or a prosthetic limb. The interface enables direct communication between the brain and the object…
    Tags: features, detection, brain, data
  • 31
    The article written by Sarunya Kanjanawattana and Masaomi Kimura is a study about Optical Character Recognition (OCR), which represents a a typical tool used to transform image-based characters to computer editable characters. The two illustrate a novel method which is a combination of a graph componenet extraction and an OCR-error correction. In the last years, graphs became very important to researches, as they contain significant information which can be extracted and used. Graphs offer data summarization which presents essential information that is interpreted by acquiring small descriptive details. In order to succeed in obtaining a primary interpretation, OCR was created,…
    Tags: graph, method, image, extraction, study, recognition, images, brain
  • 29
    Technology has become more than a phenomenon used for innovation, it is now a science put in the service of making human life easier. If in the past, taking a picture of yourself required a voluminous camera with an obscure chamber, nowadays we have our cameras to ourselves for they are incorporated in our gadgets. Therefore, we take pictures of everything we see – recording reality is just one swipe away and ready in the blink of an eye. However, sometimes is difficult to skim through thousands of photos in order to find a specific one. Nabil M. Hewahi and…
    Tags: images, brain, image, eye, recognition
  • 24
    \ Academia EduSoft Academia EduSoft is a brand name. It represents the unification of the academic branches of Asociatia EduSoft (NGO) and EduSoft Limited company. You can see information about the two entities at the bottom of this page. Starting with 2010, we edit and publish 3 academic journals for scholars around the world. These journals are indexed by various international indexing services, like Web of Science (Clarivate Analytics / Thomson-Reuters). EBSCO, DOAJ, Google Scholar, CiteSeerX etc. Our journals are interdisciplinary and they cover three main domains of science: BRAIN: Broad Research in Artificial Intelligence and Neuroscience, ISSN: 2067-3957, E-ISSN: (1-4 issues…
    Tags: recognition, brain, data

BRAIN: Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics

In order to ensure optimal teaching conditions for university students, attention should be brought to their personality traits and academic performance. In the paper Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics, the authors Vladimir Ivančević, Marko Knežević, and Ivan Luković present the foundation for such an adaptation of the teaching process, supported by an analytical software solution (in its initial version).

The software solution presents two main components: a data warehouse for storing collected data and an analytical software tool (built using the Shiny framework). The data warehouse contains collected data about student academic performance and personality traits, while the analytical tool is a web application that retrieves data from the data warehouse or external CSV files matching the required structure and allows analysts to perform exploration and analysis of data concerning student performance and personality.

 A data warehouse schema segment for scores of university students on scales of personality questionnaires
A data warehouse schema segment for scores of university students on scales of personality questionnaires

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  • 30
    The aim of this journal is to create links between researchers from apparently different scientific fields, such as Computer Science and Neurology. In fact, there are a lot of topics such as Artificial Intelligence, Cognitive Sciences and Neurosciences that can intersect in the study of the brain and its intelligent functions. Our journal contains (in section BRAINovations and BRAINStorming) peer review articles. These articles should be original unpublished articles of the authors. The peer review process is a blind one. The reviewers are well recognized scientists who are part of our scientific board, and independent reviewers. Some innovative young researchers…
    Tags: brain, computer, science
  • 27
    Starting with 2010, we edit and publish 3 academic journals for scholars around the world. These journals are indexed by various international  indexing services, like Web of Science (Clarivate Analytics / Thomson-Reuters). EBSCO, DOAJ, Google Scholar, CiteSeerX etc. Our journals are interdisciplinary and they cover three main domains of science: BRAIN: Broad Research in Artificial Intelligence and Neuroscience, ISSN: 2067-3957, E-ISSN: (1-4 issues per year, English) The aim of this journal is to create links between researchers from apparently different scientific fields, such as Computer Science and Neurology. In fact, there are a lot of topics such as Artificial Intelligence, Cognitive…
    Tags: science, brain, computer
  • 26
    \ Academia EduSoft Academia EduSoft is a brand name. It represents the unification of the academic branches of Asociatia EduSoft (NGO) and EduSoft Limited company. You can see information about the two entities at the bottom of this page. Starting with 2010, we edit and publish 3 academic journals for scholars around the world. These journals are indexed by various international indexing services, like Web of Science (Clarivate Analytics / Thomson-Reuters). EBSCO, DOAJ, Google Scholar, CiteSeerX etc. Our journals are interdisciplinary and they cover three main domains of science: BRAIN: Broad Research in Artificial Intelligence and Neuroscience, ISSN: 2067-3957, E-ISSN: (1-4 issues…
    Tags: science, brain, data, informatics
  • 24
    We are happy to let you know about the recent indexation in Web of Science of the issue 1 (April 2017) of the 8th volume of our international journal BRAIN - Broad Research in Artificial Intelligence and Neuroscience. The next issue will be published by mid of July 2017. https://www.edusoft.ro/brain/index.php/brain
    Tags: brain, science

BRAIN: Novel Detection Features for SSVEP Based BCI: Coefficient of Variation and Variation Speed

In neurology and neuroscience research, Steady-State Visually Evoked Potential (SSVEP) are brain signals which occur in response to visual stimulation. The paper Novel Detection Features for SSVEP Based BCI: Coefficient of Variation and Variation Speed – written by Abdullah Talha Sözer and Can Bülent Fidan – aims to introduce novel detection features for the SSVEP based brain computer interfaces. Brain-computer interface (BCI) is a collaboration between a brain and a device that enables signals from the brain to direct some external activity, such as control of a cursor or a prosthetic limb. The interface enables direct communication between the brain and the object to be controlled.

Time vs frequency analysis of 10 Hz SSVEP response
Time vs frequency analysis of 10 Hz SSVEP response

(more…)

Related Posts

  • 41
    The aim of this journal is to create links between researchers from apparently different scientific fields, such as Computer Science and Neurology. In fact, there are a lot of topics such as Artificial Intelligence, Cognitive Sciences and Neurosciences that can intersect in the study of the brain and its intelligent functions. Our journal contains (in section BRAINovations and BRAINStorming) peer review articles. These articles should be original unpublished articles of the authors. The peer review process is a blind one. The reviewers are well recognized scientists who are part of our scientific board, and independent reviewers. Some innovative young researchers…
    Tags: brain, neurology, neuroscience
  • 36
    Starting with 2010, we edit and publish 3 academic journals for scholars around the world. These journals are indexed by various international  indexing services, like Web of Science (Clarivate Analytics / Thomson-Reuters). EBSCO, DOAJ, Google Scholar, CiteSeerX etc. Our journals are interdisciplinary and they cover three main domains of science: BRAIN: Broad Research in Artificial Intelligence and Neuroscience, ISSN: 2067-3957, E-ISSN: (1-4 issues per year, English) The aim of this journal is to create links between researchers from apparently different scientific fields, such as Computer Science and Neurology. In fact, there are a lot of topics such as Artificial Intelligence, Cognitive…
    Tags: brain, neuroscience, neurology
  • 33
    \ Academia EduSoft Academia EduSoft is a brand name. It represents the unification of the academic branches of Asociatia EduSoft (NGO) and EduSoft Limited company. You can see information about the two entities at the bottom of this page. Starting with 2010, we edit and publish 3 academic journals for scholars around the world. These journals are indexed by various international indexing services, like Web of Science (Clarivate Analytics / Thomson-Reuters). EBSCO, DOAJ, Google Scholar, CiteSeerX etc. Our journals are interdisciplinary and they cover three main domains of science: BRAIN: Broad Research in Artificial Intelligence and Neuroscience, ISSN: 2067-3957, E-ISSN: (1-4 issues…
    Tags: neuroscience, brain, data, neurology
  • 32
    In the field of computer vision and pattern recognition, face orientation recognition stands as a significant topic. In the paper A Robust Approach of Facial Orientation Recognition from Facial Features, the authors Stefan Andrei, Kishor Datta Gupta, Md Manjurul Ahsan and Kazi Md. Rokibul Alam introduce us to an image mapping technique for face analysis. The methodology of the study consists of two main phases: Face Feature Extraction and creating the graph image, and Matching Graph image with stored images. The Face Feature Extraction presents four steps that include Face Detection, Feature Extraction, Obtaining Feature Data and Creating image with…
    Tags: features, data, detection, brain

BRAIN: Novel Ontologies-Based OCR – Error Correction Cooperating with Graph Component Extraction

The article written by Sarunya Kanjanawattana and Masaomi Kimura is a study about Optical Character Recognition (OCR), which represents a a typical tool used to transform image-based characters to computer editable characters. The two illustrate a novel method which is a combination of a graph componenet extraction and an OCR-error correction.

In the last years, graphs became very important to researches, as they contain significant information which can be extracted and used. Graphs offer data summarization which presents essential information that is interpreted by acquiring small descriptive details. In order to succeed in obtaining a primary interpretation, OCR was created, which is an approving solution used for acquiring graph components as a digital format o character letters.  This study uses a collection of bar graphs which contains at least axis descriptions and a legend in order to illustrate OCR.

Steps of candidate selection

(more…)

Related Posts

  • 32
    Starting with 2010, we edit and publish 3 academic journals for scholars around the world. These journals are indexed by various international  indexing services, like Web of Science (Clarivate Analytics / Thomson-Reuters). EBSCO, DOAJ, Google Scholar, CiteSeerX etc. Our journals are interdisciplinary and they cover three main domains of science: BRAIN: Broad Research in Artificial Intelligence and Neuroscience, ISSN: 2067-3957, E-ISSN: (1-4 issues per year, English) The aim of this journal is to create links between researchers from apparently different scientific fields, such as Computer Science and Neurology. In fact, there are a lot of topics such as Artificial Intelligence, Cognitive…
    Tags: brain, edit, study, graph
  • 31
    Technology has become more than a phenomenon used for innovation, it is now a science put in the service of making human life easier. If in the past, taking a picture of yourself required a voluminous camera with an obscure chamber, nowadays we have our cameras to ourselves for they are incorporated in our gadgets. Therefore, we take pictures of everything we see – recording reality is just one swipe away and ready in the blink of an eye. However, sometimes is difficult to skim through thousands of photos in order to find a specific one. Nabil M. Hewahi and…
    Tags: images, brain, image, recognition
  • 31
    In the field of computer vision and pattern recognition, face orientation recognition stands as a significant topic. In the paper A Robust Approach of Facial Orientation Recognition from Facial Features, the authors Stefan Andrei, Kishor Datta Gupta, Md Manjurul Ahsan and Kazi Md. Rokibul Alam introduce us to an image mapping technique for face analysis. The methodology of the study consists of two main phases: Face Feature Extraction and creating the graph image, and Matching Graph image with stored images. The Face Feature Extraction presents four steps that include Face Detection, Feature Extraction, Obtaining Feature Data and Creating image with…
    Tags: image, images, recognition, graph, extraction, method, study, brain
  • 25
    Nowadays, learning is not anymore a passive process. It has become more dynamic and it has begun to use another medium than the written word or the exercise book. In the article titled Evaluation of Readiness for Distance Education of Students in European Universities, professors Diana Vasilevska, Baiba Rivza and Răzvan Bogdan present the results of an evaluation process concerning one of the most spread and new educational movements – distant education. The evaluation included students from different states of Europe as Poland, Serbia, Lithuania, Latvia, Belarus and Romania. The aim of this demarche was to see if all the…
    Tags: distance, brain