Co-located single display collaborative learning for early childhood education

The benefits of collaborative learning are well documented. However, most of the research has been done with children beyond the ages of early childhood. This could be due to the common and erroneous belief that young children have not developed the capacity to work collaboratively toward a given aim. In this paper we show how small group co-located collaborative learning on a single display computer improves oral language, logical-mathematical and social skills in pre-school children. Considering that early childhood teachers have a responsibility to provide a supportive environment, teacher mediation is essential in order to achieve collaborative learning. Thus, teachers were trained in the use of the technology and strategies for effective collaborative learning. The study was implemented in 10 kindergarten classrooms with 268 children between the ages of 5 and 6 years old. A group of 5 kindergarten classrooms with equivalent characteristics participated as a comparison group. During the four-month intervention, children worked on collaborative activities at least twice a week. A quasi-experimental approach was used to assess the implementation, including pre- and post-testing. The data showed differences in the learning of oral language, logical-mathematical and social skills, with the experimental group demonstrating significantly greater achievement.     

A visual analytics agenda

Researchers have made significant progress in disciplines such as scientific and information visualization, statistically based exploratory and confirmatory analysis, data and knowledge representations, and perceptual and cognitive sciences. Although some research is being done in this area, the pace at which new technologies and technical talents are becoming available is far too slow to meet the urgent need. National Visualization and Analytics Center's goal is to advance the state of the science to enable analysts to detect the expected and discover the unexpected from massive and dynamic information streams and databases consisting of data of multiple types and from multiple sources, even though the data are often conflicting and incomplete. Visual analytics is a multidisciplinary field that includes the following focus areas: (i) analytical reasoning techniques, (ii) visual representations and interaction techniques, (iii) data representations and transformations, (iv) techniques to support production, presentation, and dissemination of analytical results. The R&D agenda for visual analytics addresses technical needs for each of these focus areas, as well as recommendations for speeding the movement of promising technologies into practice. This article provides only the concise summary of the R&D agenda. We encourage reading, discussion, and debate as well as active innovation toward the agenda for visual analysis.     

Lumisight Table: an interactive view-dependent tabletop display

A novel tabletop display provides different images to different users surrounding the system. It can also capture users' gestures and physical objects on the tabletop. The Lumisight Table approach is based on the optical design of a special screen system composed of a building material called Lumisty and a Fresnel lens. The system combines these films and a lens with four projectors to display four different images, one for each user's view. In addition, we need appropriate input methods for this display media. In the current state of the project, we can control computers by placing physical objects on the display or placing our hands over the display. This screen system also makes it possible to use a camera to capture the appearance of the tabletop from inside of the system. Our other main idea is to develop attractive and specialized applications on the Lumisight Table, including games and applications for computer-supported cooperative-work (CSCW) environments. The projected images can be completely different from each other, or partially identical and partially different. Users can share the identical parts as public information, because all users can see it. This article is available with a short video documentary on CD-ROM.     

Storage bins: mobile storage for collaborative tabletop displays

The ability to store resource items anywhere in the workspace and move them around can be critical for coordinating task and group interactions on a table. However, existing casual storage techniques for digital workspaces only provide access to stored items at the periphery of the workspace, potentially compromising collaborative interactions at a digital tabletop display. To facilitate this storage behavior in a digital tabletop workspace, we developed the storage bin mobile storage mechanism, which combines the space-preserving features of existing peripheral storage mechanisms with the capability to relocate stored items in the workspace. A user study explores the utility of storage bins on tabletop display collaboration.     

Graph signatures for visual analytics

We present a visual analytics technique to explore graphs using the concept of a data signature. A data signature, in our context, is a multidimensional vector that captures the local topology information surrounding each graph node. Signature vectors extracted from a graph are projected onto a low-dimensional scatterplot through the use of scaling. The resultant scatterplot, which reflects the similarities of the vectors, allows analysts to examine the graph structures and their corresponding real-life interpretations through repeated use of brushing and linking between the two visualizations. The interpretation of the graph structures is based on the outcomes of multiple participatory analysis sessions with intelligence analysts conducted by the authors at the Pacific Northwest National Laboratory. The paper first uses three public domain data sets with either well-known or obvious features to explain the rationale of our design and illustrate its results. More advanced examples are then used in a customized usability study to evaluate the effectiveness and efficiency of our approach. The study results reveal not only the limitations and weaknesses of the traditional approach based solely on graph visualization, but also the advantages and strengths of our signature-guided approach presented in the paper     

Special focus on engineering visual analytics foreword

With an increasing amount of information available from complex systems, such as a software system, a medical device, and a transportation system, there is an urgent need for effective visual analytics     

An information-theoretic view of visual analytics.

Visual analytics is an emerging discipline that helps connect dots. It facilitates analytical reasoning and decision making through integrated and highly interactive visualization of complex and dynamic data and situations. Solving mysteries is only part of the game. Visual analytics must augment analyst and decision-maker capabilities to assimilate complex situations and reach informed decisions. In information theory, the information value carried by a message is the difference in information entropy before and after receipt of the message. Information entropy is a macroscopic measure of uncertainty defined on a frequency or probability distribution. The information-theoretical approach attempts to quantify discrepancies of the information content of distributions.     

Mobile collaborative medical display system

Because of recent advances in wireless communication technologies, the world of mobile computing is flourishing with a variety of applications. In this study, we present an integrated architecture for a personal digital assistant (PDA)-based mobile medical display system that supports collaborative work between remote users. We aim to develop a system that enables users in different regions to share a working environment for collaborative visualization with the potential for exploring huge medical datasets. Our system consists of three major components: mobile client, gateway, and parallel rendering server. The mobile client serves as a front end and enables users to choose the visualization and control parameters interactively and cooperatively. The gateway handles requests and responses between mobile clients and the rendering server for efficient communication. Through the gateway, it is possible to share working environments between users, allowing them to work together in computer supported cooperative work (CSCW) mode. Finally, the parallel rendering server is responsible for performing heavy visualization tasks. Our experience indicates that some features currently available to our mobile clients for collaborative scientific visualization are limited due to the poor performance of mobile devices and the low bandwidth of wireless connections. However, as mobile devices and wireless network systems are experiencing considerable elevation in their capabilities, we believe that our methodology will be utilized effectively in building quite responsive, useful mobile collaborative medical systems in the very near future.     

An insight-based longitudinal study of visual analytics

Visualization tools are typically evaluated in controlled studies that observe the short-term usage of these tools by participants on preselected data sets and benchmark tasks. Though such studies provide useful suggestions, they miss the long-term usage of the tools. A longitudinal study of a bioinformatics data set analysis is reported here. The main focus of this work is to capture the entire analysts process that an analyst goes through from a raw data set to the insights sought from the data. The study provides interesting observations about the use of visual representations and interaction mechanisms provided by the tools, and also about the process of insight generation in general. This deepens our understanding of visual analytics, guides visualization developers in creating more effective visualization tools in terms of user requirements, and guides evaluators in designing future studies that are more representative of insights sought by users from their data sets     

Affording embodied cognition through touchscreen and above-the-surface gestures during collaborative tabletop science learning

International Journal of Computer-Supported Collaborative Learning - This paper draws upon the theory of embodied cognition to provide a robust account of how gestural interactions with and around...     

A personal visual analytics on smartphone usage data

The percentage of individuals frequently using their smartphones in work and life is increasing steadily. The interactions between individuals and their smartphones can produce large amounts of usage data, which contain rich information about smartphone owners’ usage habits and their daily life. In this paper, a personal visual analytic tool is proposed to develop insights and discover knowledge of personal life in smartphone usage data. Four cooperated visualization views and many interactions are provided in this tool to visually explore the temporal features of various interactive events between smartphones and their users, the hierarchical associations among event types, and the detailed distributions of massive event sequences. In the case study, plenty of interesting patterns are discovered by analyzing the data of two smartphone users with different usage styles. We also conduct a one-month user study on several invited volunteers from our laboratory and acquaintance circle to improve our prototype system based on their feedback.     

Social interaction around a rural community photo display

Public displays of photographs are a common sight in community spaces, yet while much attention has been given recently to the use of digital photography in the home, the community domain remains underexplored. We describe the Wray Photo Display, a public situated display for community-generated photography in an English rural village, which aims to understand the community's use of photos for social purposes and the ways in which public display technology may support these social interactions. This article presents the techniques used in designing and evaluating the display as well as understanding the community and its use of photos, and our discussion of the issues and challenges presented by this study.     

The design,development, and deployment of a tabletop interface for collaborative exploration of genomic data

In this paper, we reflect on the design, development, and deployment of G-nome Surfer; a multi-touch tabletop user interface for collaborative exploration of genomic data. G-nome Surfer lowers the threshold for using advanced bioinformatics tools, reduces the mental workload associated with manipulating genomic information, and fosters effective collaboration. We describe our two-year-long effort from design strategy to iterations of design, development, and evaluation. This paper presents four main contributions: (1) a set of design requirements for supporting collaborative exploration in data-intensive domains, (2) the design, implementation, and validation of a multi-touch tabletop interface for collaborative exploration, (3) a methodology for evaluating the strengths and limitations of tabletop interaction for collaborative exploration, and (4) empirical evidence for the feasibility and value of integrating tabletop interaction in college-level education.     

A Web-based visual analytics system for real estate data

Real estate is an important industry in most countries.However,the analysis of the real estate market is very challenging as the data are high dimensional and have complex spatial and temporal patterns.In this paper,we present a novel Web-based visual analytics system,which integrates state-of-the-art interactive visualizations to enable end users to create their own visualizations and gain insight into the real estate market.The system is implemented using the new features in HTML5,which are natively supported in current browsers.We adopt a coordinated view design in our system consisting of four major components:a map view to show the geographical information of houses,a stacked graph view to show the evolution of house sales over time,a pixel-bar view to visualize multiple attributes of houses,and a treemap view to present the hierarchical structure of the data.Novel clutter reduction methods and rich user interactions are further proposed to enhance the flexibility and analytical ability of the whole system.We have applied our system to real property market data and obtained some interesting findings.Moreover,feedback from the end users of our system is very positive.     

TabuVis: A tool for visual analytics multidimensional datasets

Efficient video summarization leads to facilely exploring video content appropriate to the user’s intention with low cognitive demand. In this paper, we present a novel approach for summarizing videos in the form of multi-scale structures that exhibit different video features at different scale levels and allow exploration of video contents with multi-scale interaction. The semantic relationship between structures is addressed and user intention is also considered and integrated in the summarization and interaction. This paper first introduces the concept of multi-scale structures for summarizing video content and describes three different types of structures that present important features at different scale levels. Furthermore, a continuous zooming interaction for browsing multi-scale structures is provided to facilitate video browsing. Finally, an elaborate user study is conducted showing that user performance on understanding and browsing videos is improved.     

A visual analytics framework for spatio-temporal analysis and modelling

To support analysis and modelling of large amounts of spatio-temporal data having the form of spatially referenced time series (TS) of numeric values, we combine interactive visual techniques with computational methods from machine learning and statistics. Clustering methods and interactive techniques are used to group TS by similarity. Statistical methods for TS modelling are then applied to representative TS derived from the groups of similar TS. The framework includes interactive visual interfaces to a library of modelling methods supporting the selection of a suitable method, adjustment of model parameters, and evaluation of the models obtained. The models can be externally stored, communicated, and used for prediction and in further computational analyses. From the visual analytics perspective, the framework suggests a way to externalize spatio-temporal patterns emerging in the mind of the analyst as a result of interactive visual analysis: the patterns are represented in the form of computer-processable and reusable models. From the statistical analysis perspective, the framework demonstrates how TS analysis and modelling can be supported by interactive visual interfaces, particularly, in a case of numerous TS that are hard to analyse individually. From the application perspective, the framework suggests a way to analyse large numbers of spatial TS with the use of well-established statistical methods for TS analysis.