scholarly journals Usabilidad de los tag-clouds: estudio mediante eye-tracking.

2010 ◽  
pp. 15-33
Author(s):  
Yusef Hassan Montero ◽  
Víctor Herrero-Solana ◽  
Vicente Guerrero-Bote
Keyword(s):  
Eye Tracking ◽  
Tag Clouds ◽  
Tag Cloud ◽  
Palabras Clave

Los tag-clouds, o nubes de etiquetas, son componentes de interfaz en forma de lista compacta de palabras clave, que permiten al usuario explorar y navegar por conjuntos documentales. Si bien en los últimos años han gozado de gran popularidad en el entorno Web, también es cierto que, como interfaces visuales de recuperación de información, presentan evidentes problemas de usabilidad. El presente trabajo se propone indagar en la usabilidad de los tag-clouds, a través de la revisión bibliográfica y un estudio con usuarios utilizando técnicas de eye-tracking o seguimiento visual. Los resultados demuestran que tanto el tamaño de fuente como la forma del tag-cloud tienen una clara influencia en la exploración visual de los usuarios. Respecto a la ordenación de los tags, si bien la ordenación alfabética no ofrece ventajas en tareas de búsqueda exploratoria, los resultados sugieren que la agrupación semántica tampoco supone una mejora en términos de eficiencia en tareas de localización visual de los tags. Finalmente se proponen posibles mejoras en la presentación de los tag-clouds agrupados semánticamente, así como futuras líneas de investigación

CobWeb Multidimensional Model and Tag-Cloud Operators for OLAP of Documents

2018 ◽  
Vol 9 (2) ◽  
pp. 46-68
Author(s):  
Omar Khrouf ◽  
Kais Khrouf ◽  
Jamel Feki
Keyword(s):  
Decision Makers ◽  
Effective Management ◽  
Multidimensional Model ◽  
Tag Clouds ◽  
Xml Documents ◽  
Model Based ◽  
Tag Cloud ◽  
On Line ◽  
Analytical Processing ◽  
Software Prototype

There is an explosion in the amount of textual documents that have been generated and stored in recent years. Effective management of these documents is essential for better exploitation in decisional analyses. In this context, the authors propose their CobWeb multidimensional model based on standard facets and dedicated to the OLAP (on-line analytical processing) of XML documents; it aims to provide decision makers with facilities for expressing their analytical queries. Secondly, they suggest new visualization operators for OLAP query results by introducing the concept of Tag clouds as a means to help decision-makers to display OLAP results in an intuitive format and focus on main concepts. The authors have developed a software prototype called MQF (Multidimensional Query based on Facets) to support their proposals and then tested it on documents from the PubMed collection.

A survey of tag clouds as tools for information retrieval and content representation

2020 ◽  
pp. 147387162096663
Author(s):  
Úrsula Torres Parejo ◽  
Jesús R Campaña ◽  
M Amparo Vila ◽  
Miguel Delgado
Keyword(s):  
Information Retrieval ◽  
Structural Properties ◽  
The Internet ◽  
Original Text ◽  
Semantic Association ◽  
Tag Clouds ◽  
Tag Cloud ◽  
Content Representation ◽  
Visual Interfaces

Tag clouds are tools that have been widely used on the Internet since their conception. The main applications of these textual visualizations are information retrieval, content representation and browsing of the original text from which the tags are generated. Despite the extensive use of tag clouds, their enormous popularity and the amount of research related to different aspects of them, few studies have summarized their most important features when they work as tools for information retrieval and content representation. In this paper we present a summary of the main characteristics of tag clouds found in the literature, such as their different functions, designs and negative aspects. We also present a summary of the most popular metrics used to capture the structural properties of a tag cloud generated from the query results, as well as other measures for evaluating the goodness of the tag cloud when it works as a tool for content representation. The different methods for tagging and the semantic association processes in tag clouds are also considered. Finally we give a list of alternative for visual interfaces, which makes this study a useful first help for researchers who want to study the content representation and information retrieval interfaces in greater depth.

scholarly journals ANÁLISE, ATRAVÉS DA TÉCNICA DE RASTREAMENTO OCULAR, DE INTERFACES DE FÓRUM VIRTUAL QUE FAVORECEM A APRENDIZAGEM ON-LINE

2021 ◽  
pp. 181
Author(s):  
Eduardo Santos Junqueira Rodrigues ◽  
Cátia Luzia Oliveira Silva ◽  
Andrei Bosco Bezerra Torres ◽  
Elisângela Nogueira Teixeira
Keyword(s):  
Eye Tracking ◽  
Attention And Memory ◽  
Structured Interviews ◽  
Tracking Method ◽  
Spatial Disorientation ◽  
Palabras Clave ◽  
On Line ◽  
Effective Use ◽  
Estudiantes Universitarios ◽  
Standard Learning

O artigo apresenta os resultados do mapeamento da interação de 30 alunos universitários ao utilizarem três distintas interfaces de fórum virtuais para estudar. A pesquisa utilizou o método do rastreamento ocular e entrevistas semi-estruturadas para documentar e analisar o processo de navegação dos alunos ao participarem e publicarem comentários nos fóruns. A análise dos dados indicou que interfaces de fórum virtual com design mais tradicional, intuitivo e minimalista, e com menor e mais racional disposição de elementos imagéticos, beneficia o aluno em situações de aprendizagem. Esse tipo de interface evita a frustração, perda de tempo e de foco na tarefa, permitindo o uso efetivo da atenção e memória do aluno na compreensão de conteúdos e resolução de problemas. Movimentos oculares indesejáveis dos alunos indicaram desorientação espacial e sobrecarga cognitiva causada por elementos clicáveis da interface dos fóruns, que foram prejudiciais à navegação dos alunos e, por isso, devem ser evitados, podendo levá-los a abandonar o fórum. Elementos imagéticos acessórios presentes na interface não interferiram negativamente com a tarefa dos alunos, pois foram ignorados por eles durante a navegação nos fóruns, como comprovado pela ausência de fixação ocular. O uso de um fórum de um ambiente virtual de aprendizagem (AVA) padrão tradicional não indicou vantagens para a navegação e realização de atividades quando comparado, pelos alunos, a um fórum generalista de design intuitivo, consistente e minimalista.Palavras-chave: Aprendizagem on-line; Navegação; Fórum virtual; Rastreamento ocular.Analysis, through the eye tracking technique, of virtual forum interfaces features that raise on-line learningAbstractThe article presents the results of mapped interaction of 30 university students using three different digital forum interfaces to study. The research utilized the eye tracking method and semi-structured interviews to document and analyze the students' browsing process as they participated in and published on the forums. Data analysis indicated that virtual forum interfaces with a more traditional, intuitive and minimalist design, and with a smaller and more rational array of imaging elements, benefit the student in learning situations. This type of interface avoids frustration, wasted time, and it increases focus on the task, allowing effective use of student attention and memory in understanding content and problem solving. Undesirable eye movements of the students indicated spatial disorientation and cognitive overload caused by clickable elements of the forum interface, which were detrimental to student navigation and therefore should be avoided and may lead them to leave the forum. Imaging elements accessories present in the interface did not interfere negatively with the students' task, as they were ignored by them during navigation in the forums, as evidenced by the absence of ocular fixation. The use of a traditional standard learning management system (LMS) forum did not indicate advantages for browsing and performing activities when compared to an intuitive, consistent and minimalist generalist designed forum.Keywords: Online learning; Navigation; Virtual fórum; Eye tracking.Análisis, a través de la técnica de rastreo ocular, de interfaces de foro virtual que favorece el aprendizaje on-lineResumenEl artículo presenta los resultados de la interacción mapeada de 30 estudiantes universitarios que utilizan tres interfaces de foros digitales diferentes para estudiar. La investigación utilizó el método de seguimiento ocular y entrevistas semiestructuradas para documentar y analizar el proceso de navegación de los estudiantes a medida que participaban y publicaban en los foros. El análisis de los datos indicó que los foros virtuales interactúan con un diseño más tradicional, intuitivo y minimalista, y con una gama más pequeña y más racional de elementos de imagen, beneficiando al estudiante en situaciones de aprendizaje. Este tipo de interfaz evita la frustración, el tiempo perdido y aumenta el enfoque en la tarea, permitiendo el uso efectivo de la atención y la memoria del alumno para comprender el contenido y la resolución de problemas. Los movimientos oculares indeseables de los estudiantes indicaron desorientación espacial y sobrecarga cognitiva causada por elementos seleccionables de la interfaz del foro, que fueron perjudiciales para la navegación del estudiante y, por lo tanto, deben evitarse y pueden llevarlos a abandonar el foro. Los accesorios de elementos de imagen presentes en la interfaz no interfirieron negativamente con la tarea de los estudiantes, ya que fueron ignorados por ellos durante la navegación en los foros, como lo demuestra la ausencia de fijación ocular. El uso de un foro de anbiente virtual de aprendziagen estándar tradicional no indicaba ventajas para navegar y realizar actividades en comparación con un foro diseñado por un general intuitivo, coherente y minimalista. Palabras clave: Aprender en línea; Navegación; Foro virtual; Registro visual.

A Keyphrase-Based Tag Cloud Generation Framework to Conceptualize Textual Data

2013 ◽  
Vol 4 (2) ◽  
pp. 72-93 ◽  
Author(s):  
Muhammad Abulaish ◽  
Tarique Anwar
Keyword(s):  
Main Theme ◽  
Semantic Features ◽  
Font Size ◽  
Grammatical Structure ◽  
Text Documents ◽  
Tag Clouds ◽  
Tag Cloud ◽  
Text Corpora ◽  
Textual Data ◽  
N Gram

Tag clouds have become an effective tool to quickly perceive the most prominent terms embedded within textual data. Tag clouds help grasp the main theme of a corpus without exploring the pile of documents. However, the effectiveness of tag clouds to conceptualize text corpora is directly proportional to the quality of the tags. In this paper, the authors propose a keyphrase-based tag cloud generation framework. In contrast to existing tag cloud generation systems that use single words as tags and their frequency counts to determine the font size of the tags, the proposed framework identifies feasible keyphrases and uses them as tags. The font-size of a keyphrase is determined as a function of its relevance weight. Instead of using partial or full parsing, which is inefficient for lengthy sentences and inaccurate for the sentences that do not follow proper grammatical structure, the proposed method applies n-gram techniques followed by various heuristics-based refinements to identify candidate phrases from text documents. A rich set of lexical and semantic features are identified to characterize the candidate phrases and determine their keyphraseness and relevance weights. The authors also propose a font-size determination function, which utilizes the relevance weights of the keyphrases to determine their relative font size for tag cloud visualization. The efficacy of the proposed framework is established through experimentation and its comparison with the existing state-of-the-art tag cloud generation methods.

Research on the Layout of the Chinese Tag Cloud

2013 ◽  
Vol 760-762 ◽  
pp. 2060-2063
Author(s):  
Yuan Zhang ◽  
Yun Lin
Keyword(s):  
Information Retrieval ◽  
Visual Features ◽  
Tag Clouds ◽  
Tag Cloud ◽  
Browsing Behavior

Tag clouds are now very popular in websites because of its ability to recruit the activity of web users into effectively information retrieval. In recent years, although there are many researches on English tag clouds, few are known about Chinese tag clouds. In this paper, we investigated the layout of the Chinese tag cloud, and analyzed eight visual features of the Chinese tag cloud according to users browsing behavior. Our results could provide a theoretical reference for the tag cloud designers.

scholarly journals Neuromarketing: Deep Motivations of the Consumer in Premium Range Cars in the City of Riobamba

2021 ◽  
Author(s):  
E. Cuzquillo Cusquillo ◽  
E. Yansapanta Carrillo ◽  
J. Montufar Guevara ◽  
J. Sánchez Lunavictoria
Keyword(s):  
Economic Development ◽  
Consumer Behavior ◽  
Experimental Design ◽  
Eye Tracking ◽  
Psychological Aspects ◽  
Purchasing Decisions ◽  
Qualitative And Quantitative ◽  
Palabras Clave ◽  
Quasi Experimental ◽  
The City

In a society where information and knowledge have become essential cornerstones of economic development, it is important that companies allocate the necessary resources to evaluate studies based on consumer behavior and the psychological aspects that influence purchasing decisions. For this reason, this research aimed to understand the motivations of consumers, and the symbolic emotional relationship between the consumer and the brand and model of Premium Range cars in the city of Riobamba. With the advancement of marketing and its link with the study of neuroscience, efficient tools have been developed that allow us to better understand the reasons why people acquire a vehicle. This research had a quasi-experimental design and employed qualitative and quantitative approaches through using biometric equipment including eye tracking. It was determined that there were conscious and unconscious factors that influenced consumers when deciding between makes and models in acquiring a Premium Range vehicle. Personality was key in defining the brand preferred and the model chosen. Keywords: neoroscience, neuromarketing, consumer behavior, insights, eye tracking. Resumen En una sociedad en donde la información y el conocimiento se han convertido en vértices esenciales para el desarrollo económico, resulta importante que las empresas realicen o asignen los recursos necesarios para efectuar estudios en base al comportamiento del consumidor, así como, los aspectos psicológicos que influyen en su decisión de compra. Por eso, esta investigación tiene como objetivo conocer el análisis de las motivaciones profundas y verdaderas, y la relación simbólica emocional entre el cliente o consumidor con la marca y el modelo de automóviles de Gama Premium en la ciudad de Riobamba. Es claro que, con el avance del marketing y su vinculación con el estudio de la neurociencia, se han desarrollado herramientas eficientes que permiten conocer de mejor manera las razones del por qué y para qué las personas adquieren un vehículo. Por tanto, esta investigación tiene un diseño cuasi experimental, por la utilización de un equipo biométrico como lo es el eye tracking, el cual es eficiente para este tipo de investigaciones que permite establecer un enfoque de investigación cualitativo y cuantitativo con un nivel exploratorio y descriptivo. En este caso, la utilidad de la investigación radica en que existen factores motivacionales conscientes e inconscientes que influyen en el momento de adquirir un vehículo de la Gama Premium en la ciudad de Riobamba, siendo estos la marca y el modelo, los mismos que vinculan un efecto de ostentación en las personas, donde se define que la marca que prefieres y el modelo que eliges define una personalidad, brindando a la empresa una idea creativa de marketing. Palabras clave: neurociencia, neuromarketing, comportamiento del consumidor, motivaciones profundas, eye tracking.

scholarly journals Visual Exploration of Medical Records

2021 ◽  
Author(s):  
Ursula Torres Parejo ◽  
Jesús Roque Campaña ◽  
María Amparo Vila ◽  
Miguel Delgado
Keyword(s):  
Information Retrieval ◽  
Medical Records ◽  
Visual Exploration ◽  
Medical Field ◽  
Medical Databases ◽  
Tag Clouds ◽  
Tag Cloud ◽  
Content Representation ◽  
Content Identification ◽  
Visual Interface

Medical records contain many terms which are difficult to process. Our aim in this study is to allow the visual exploration of the information in medical databases where the texts presents a large number of syntactic variations and abbreviations, through an interface which facilitates content identification, navigation and information retrieval. We propose the use of multi-term tag clouds as content representation tools and as assistants for the browsing and querying tasks. The tag cloud generation is achieved through a novelty mathematical method that allows related terms to remain grouped together within the tags To evaluate this proposal, we have used a database with 24,481 records. 23 expert users in the medical field were tasked to complete a survey to evaluate the generated tag clouds properties and we obtained a precision of 0.990, a recall of 0.870 and a F1score of 0.904 in the evaluation of the tag cloud as an information retrieval tool. The main contribution of this approach is that we automatically generate a visual interface over the text capable of capturing the semantics of the information and facilitating access to medical records.

Tag Cloud Reorganization

2013 ◽  
pp. 140-155
Author(s):  
Alberto Pérez García-Plaza ◽  
Arkaitz Zubiaga ◽  
Víctor Fresno ◽  
Raquel Martínez
Keyword(s):  
Point Of View ◽  
Social Tagging ◽  
Web Pages ◽  
Effective Solution ◽  
Web Documents ◽  
Social Tagging Systems ◽  
Tag Clouds ◽  
Tag Cloud ◽  
Pros And Cons ◽  
Textual Content

Tag clouds have become an appealing way of navigating through Web pages on social tagging systems. Recent research has focused on finding relations among tags to improve visualization and access to Web documents from tag clouds. Reorganizing tag clouds according to tag relatedness has been suggested as an effective solution to ease navigation. Most of the approaches either rely on co-occurrences or rely on textual content to represent tags. In this chapter, the authors explore tag cloud reorganization based on both of them. They compare these clouds from a qualitative point of view, analyzing pros and cons of each approach. The authors show encouraging results suggesting that co-occurrences produce more compelling reorganization of tag clouds than textual content, being computationally less expensive.

scholarly journals Supporting Image Search with Tag Clouds: A Preliminary Approach

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Francesco Guerra ◽  
Giovanni Simonini ◽  
Maurizio Vincini
Keyword(s):  
Natural Language ◽  
The Other ◽  
Image Search ◽  
Tag Clouds ◽  
Tag Cloud ◽  
Insight Into

Algorithms and techniques for searching in collections of data address a challenging task, since they have to bridge the gap between the ways in which users express their interests, through natural language expressions or keywords, and the ways in which data is represented and indexed. When the collections of data include images, the task becomes harder, mainly for two reasons. From one side the user expresses his needs through one medium (text) and he will obtain results via another medium (some images). From the other side, it can be difficult for a user to understand the results retrieved; that is why a particular image is part of the result set. In this case, some techniques for analyzing the query results and giving to the users some insight into the content retrieved are needed. In this paper, we propose to address this problem by coupling the image result set with a tag cloud of words describing it. Some techniques for building the tag cloud are introduced and two application scenarios are discussed.

Web Summarization and Browsing Through Semantic Tag Clouds

2019 ◽  
Vol 15 (3) ◽  
pp. 1-23 ◽  
Author(s):  
Antonio M. Rinaldi
Keyword(s):  
Huge Amount ◽  
Document Collections ◽  
Electronic Documents ◽  
Tag Clouds ◽  
Tag Cloud ◽  
Digital Era ◽  
Web Document ◽  
Open Issue ◽  
Social Applications ◽  
Visualization Techniques

The need to manage electronic documents is an open issue in the digital era. It becomes a challenging problem on the internet where a large amount of data needs even more efficient and effective methods and techniques for mining and representing information. In this context, document summarization, browsing processes and visualization techniques have had a great impact on several dimensions of user information perception. In this context, the use of ontologies for knowledge representation has rapidly grown in the last years in several application domains together with social-based techniques such as tag clouds. This form of visualization tool is becoming particularly useful in the interaction process between users and social applications where a huge amount of data needs to have effective and efficient interfaces. In this article, the authors propose a novel methodology based on a combination of ontologies and Tag Clouds for web document collections browsing and summarizing, they call this tool Semantic Tag Cloud.

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