Context and Adaptivity-Driven Visualization Method Selection

2011 ◽  
pp. 188-204 ◽  
Author(s):  
Maria Golemati ◽  
Costas Vassilakis ◽  
Akrivi Katifori ◽  
George Lepouras ◽  
Constantin Halatsis
Keyword(s):  
Data Collection ◽  
Information Seeking ◽  
User Behavior ◽  
Visualization Method ◽  
System Configuration ◽  
Visualization System ◽  
Method Selection ◽  
Visualization Systems ◽  
Individual Profiles ◽  
Combining Information

Novel and intelligent visualization methods are being developed in order to accommodate user searching and browsing tasks, including new and advanced functionalities. Besides, research in the field of user modeling is progressing in order to personalize these visualization systems, according to its users’ individual profiles. However, employing a single visualization system, may not suit best any information seeking activity. In this paper we present a visualization environment, which is based on a visualization library, i.e. is a set of visualization methods, from which the most appropriate one is selected for presenting information to the user. This selection is performed combining information extracted from the context of the user, the system configuration and the data collection. A set of rules inputs such information and assigns a score to all candidate visualization methods. The presented environment additionally monitors user behavior and preferences to adapt the visualization method selection criteria.

Modeling and evaluating user behavior in exploratory visual analysis

2016 ◽  
Vol 15 (4) ◽  
pp. 325-339 ◽  
Author(s):  
Khairi Reda ◽  
Andrew E. Johnson ◽  
Michael E. Papka ◽  
Jason Leigh
Keyword(s):  
Visual Analysis ◽  
User Behavior ◽  
Empirical Evaluation ◽  
Visual Exploration ◽  
Chain Process ◽  
Visualization System ◽  
Log Files ◽  
Analytic Process ◽  
Visualization Systems ◽  
Analytical Tools

Empirical evaluation methods for visualizations have traditionally focused on assessing the outcome of the visual analytic process as opposed to characterizing how that process unfolds. There are only a handful of methods that can be used to systematically study how people use visualizations, making it difficult for researchers to capture and characterize the subtlety of cognitive and interaction behaviors users exhibit during visual analysis. To validate and improve visualization design, it is important for researchers to be able to assess and understand how users interact with visualization systems under realistic scenarios. This article presents a methodology for modeling and evaluating the behavior of users in exploratory visual analysis. We model visual exploration using a Markov chain process comprising transitions between mental, interaction, and computational states. These states and the transitions between them can be deduced from a variety of sources, including verbal transcripts, videos and audio recordings, and log files. This model enables the evaluator to characterize the cognitive and computational processes that are essential to insight acquisition in exploratory visual analysis and reconstruct the dynamics of interaction between the user and the visualization system. We illustrate this model with two exemplar user studies, and demonstrate the qualitative and quantitative analytical tools it affords.

Proposed Techniques for Data Collection and Analysis in the Study of News-Oriented Virtual Communities

2011 ◽  
pp. 568-584 ◽  
Author(s):  
William J. Gibbs ◽  
Joseph E. McKendrick
Keyword(s):  
Content Analysis ◽  
Data Collection ◽  
Eye Tracking ◽  
Human Behavior ◽  
Information Seeking ◽  
Virtual Communities ◽  
Usability Testing ◽  
Analysis Techniques ◽  
Data Collection And Analysis ◽  
Area Of Study

News providers today offer interactive sources that engage people, enable them to build community, and to participate in the news. At the same time, the digital interfaces through which people access the news are continuingly evolving, diverse, and oftentimes visually complex. How these factors shape human information seeking in news-oriented virtual communities is a relatively new area of study and therefore greater understanding of their influence on human behavior is of much practical value. In this chapter, the authors explore trends and developments in news-oriented virtual communities. They review several data collection and analysis techniques such as content analysis, usability testing and eye-tracking and propose that these techniques and associated tools can aid the study of news communities. They examine the implications these techniques have for better understanding human behavior in virtual communities as well as for improving the design of these environments.

Explaining Algorithms

2011 ◽  
pp. 2261-2279
Author(s):  
Tomasz Muldner ◽  
Elhadi Shakshuki
Keyword(s):  
Distance Education ◽  
Main Idea ◽  
Top Down ◽  
Levels Of Abstraction ◽  
Visualization System ◽  
Client Server ◽  
Novel Approach ◽  
Visualization Systems ◽  
Explanation System ◽  
Server Architecture

This article presents a novel approach for explaining algorithms that aims to overcome various pedagogical limitations of the current visualization systems. The main idea is that at any given time, a learner is able to focus on a single problem. This problem can be explained, studied, understood, and tested, before the learner moves on to study another problem. Toward this end, a visualization system that explains algorithms at various levels of abstraction has been designed and implemented. In this system, each abstraction is focused on a single operation from the algorithm using various media, including text and an associated visualization. The explanations are designed to help the user to understand basic properties of the operation represented by this abstraction, for example its invariants. The explanation system allows the user to traverse the hierarchy graph, using either a top-down (from primitive operations to general operations) approach or a bottom-up approach. Since the system is implemented using a client-server architecture, it can be used both in the classroom setting and through distance education.

Information Seeking, Sharing and Use on Religion among Afghan youth in Toronto

2013 ◽  
Author(s):  
Lisa Quirke
Keyword(s):  
Data Collection ◽  
Social Networking ◽  
Social Networking Sites ◽  
Information Seeking ◽  
Exploratory Study ◽  
Participant Observation ◽  
Étude Qualitative ◽  
Etude Qualitative

This poster summarizes the findings of a qualitative, exploratory study on Afghan youth’s information seeking, sharing and use regarding religion. Data collection included interviews and participant observation. Findings included the key role of technology, the iKoran and social networking sites in particular, in facilitating information seeking and sharing on Islam.Cette affiche résume les résultats d’une étude qualitative exploratoire auprès des jeunes femmes afghanes sur leurs pratiques de recherche, de partage et d’utilisation de l’information concernant la religion. Les données recueillies proviennent d’entrevues et d’observation des participantes. Les résultats démontrent le rôle clé de la technologie, iKoran et les sites de réseautage social en particulier, et facilite la recherche et le partage d’information sur l’Islam.

Design of Control and Monitor System of Foam Cement Mixing Device Based on PLC and MCGS

2013 ◽  
Vol 756-759 ◽  
pp. 261-264
Author(s):  
C.G. Wang ◽  
Q.H. Sun ◽  
Z.M. Wang ◽  
Y.J. Qi
Keyword(s):  
Control System ◽  
Data Collection ◽  
Data Processing ◽  
Automatic Control ◽  
Configuration Software ◽  
Dynamic Monitoring ◽  
Monitor System ◽  
System Configuration ◽  
Monitoring Data Processing ◽  
And Control

Control and monitor system of foamed cement mixing device are designed based on PLC and MCGS(Monitor and Control Generated System) configuration software, it realizes data collection and dynamic monitoring, data processing. Through the control system, it achieves automatic control to foamed cement mixing device. Experiments show the system has advantanges of high precision, reliability and good maintain.

Visualization properties for data quality visual assessment: An exploratory case study

2016 ◽  
Vol 16 (2) ◽  
pp. 93-112 ◽  
Author(s):  
João Marcelo Borovina Josko ◽  
João Eduardo Ferreira
Keyword(s):  
Data Quality ◽  
Quality Assessment ◽  
Visual Assessment ◽  
Support Design ◽  
Visualization System ◽  
Data Quality Assessment ◽  
Context Knowledge ◽  
Visualization Systems ◽  
Data Context

Data quality assessment outcomes are essential to ensure useful analytical processes results. Relevant computational approaches provide assessment support, especially to data defects that present more precise rules. However, data defects that are more dependent of data context knowledge challenge the data quality assessment since the process involves human supervision. Visualization systems belong to a class of supervised tools that can make visible data defect structures. Despite their considerable design knowledge encodings, there is little support design to visual quality assessment of data defects. Therefore, this work reports a case study that has explored which and how visualization properties facilitate visual detection of data defect. Its outcomes offer a first set of implications to design visualization system to permit data quality visual assessment.

Evaluating exploratory visualization systems: A user study on how clustering-based visualization systems support information seeking from large document collections

2012 ◽  
Vol 12 (1) ◽  
pp. 25-43 ◽  
Author(s):  
Yujie Liu ◽  
Scott Barlowe ◽  
Yaqin Feng ◽  
Jing Yang ◽  
Min Jiang
Keyword(s):  
Information Seeking ◽  
User Study ◽  
Information Overload ◽  
Human Subjects ◽  
Scientific Discovery ◽  
Cognitive Learning ◽  
Document Collections ◽  
Important Research Topic ◽  
Visualization Systems ◽  
General Guidance

Iterative, opportunistic and evolving visual sense-making has been an important research topic as it assists users in overcoming ever-increasing information overload. Exploratory visualization systems (EVSs) maximize the amount of information users can gain through learning and have been widely used in scientific discovery and decision-making contexts. Although many EVSs have been developed recently, there is a lack of general guidance on how to evaluate such systems. Researchers face challenges such as understanding the cognitive learning process supported by these systems. In this paper, we present a formal user study on Newdle, a clustering-based EVS for large news collections, shedding light on a general methodology for EVS evaluation. Our approach is built upon cognitive load theory, which takes the user as well as the system as the focus of evaluation. The carefully designed procedures allow us to thoroughly examine the user’s cognitive process as well as control the variability among human subjects. Through this study, we analyse how and why clustering-based EVSs benefit (or hinder) users in a variety of information-seeking tasks. We also summarize leverage points for designing clustering-based EVSs.

scholarly journals User behavior analysis in No Disk System Configuration

2013 ◽  
Vol 23 (3) ◽  
pp. 491-500
Author(s):  
Deunghwa Kim ◽  
Jaeung Namgung ◽  
Jungheum Park ◽  
Sangjin Lee
Keyword(s):  
Behavior Analysis ◽  
User Behavior ◽  
System Configuration ◽  
Disk System ◽  
User Behavior Analysis

scholarly journals Designing, Implementing And Evaluating A Cross-Modal Sensory Substitution System For The Effective Communication Of The Emotional And Informative Aspects Of Music

2021 ◽  
Author(s):  
Michael Pouris
Keyword(s):  
Large Data ◽  
Large Data Sets ◽  
Sensory Substitution ◽  
Data Sets ◽  
Combined System ◽  
Visualization System ◽  
Substitution System ◽  
Music Visualization ◽  
Visualization Systems ◽  
Visual Domain

Visualizations have existed for millennia as ways to communicate information. Visualizations are ubiquitous tools used every day to help navigate cities and aid in learning complex tasks. Tasks are made simpler when applying various visualization methods to large data sets to discover trends that are otherwise difficult to notice. More recently, music visualization systems have been created to convey music in the visual domain; however, they are not based on any psychological model of auditory and visual equivalents. This thesis discusses a music visualization system called MusicViz, which facilitates in the visual communication of the informative and entertainment aspect of music based on psychologically justified translation principals. MusicViz is combined with a vibro-feedback chair called the Emoti-Chair, which translates auditory music to vibrations along the user’s back. The combined system is coined VITA (Visually Immersive and Tactile Animation). A usability evaluation of the VITA showed it is an enjoyable experience.

scholarly journals Dimorphism as a Metaphor for Information-Seeking Behavior

2019 ◽  
pp. 62-85
Author(s):  
David Edward Schmersal
Keyword(s):  
Information Seeking ◽  
Information Needs ◽  
User Behavior ◽  
Near East ◽  
Ancient Near East ◽  
Information Seeking Behavior ◽  
Digital Services ◽  
Seeking Behavior ◽  
Heuristic Device ◽  
Insight Into

Our increasingly hybridized information environment, in which both print and electronic resources are available and offer certain advantages, may be described as “dimorphic,” alluding to the dual modes of sustenance evident among certain semi-nomadic peoples in the Ancient Near East. In this session, reference and digital services librarian David Schmersal will draw upon amateur interest in the Ancient Near East to explain how dimorphic social structure may provide a useful heuristic device or metaphor for understanding the information-seeking behavior of students, faculty, and other researchers. Such insight into user behavior may be applied to collection development, instruction sessions, reference interviews, and other crossroads between libraries and our patrons’ information needs.

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