Academic literature on the topic 'Information visualisation'

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Journal articles on the topic "Information visualisation"

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Garrote, Antonio, and María N. Moreno García. "LinkedVis an Information Visualisation Toolkit for RDF Data." International Journal on Semantic Web and Information Systems 9, no. 4 (October 2013): 1–16. http://dx.doi.org/10.4018/ijswis.2013100101.

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LinkedVis implements a JavaScript and SVG data visualisation toolkit that can be used to generate a wide range of interactive information visualisations from RDF graphs using a grammar of graphics style syntax extended with operations for structural transformation of the RDF data graph. Additionally, LinkedVis visualisations make it possible to embed meta-data about the visualisation and the way different graphic components from the visualisation are related to the original RDF data. Insertion of meta-data transforms the visualisation into a self-describing piece of information that can be processed by an automatic agent to perform different tasks, like extracting data associated to a visual component, following the associated linked URIs or translate the visualisation to an entirely different underlying graphics system other than SVG.
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Gibson, Helen, Joe Faith, and Paul Vickers. "A survey of two-dimensional graph layout techniques for information visualisation." Information Visualization 12, no. 3-4 (September 5, 2012): 324–57. http://dx.doi.org/10.1177/1473871612455749.

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Many algorithms for graph layout have been devised over the last 30 years spanning both the graph drawing and information visualisation communities. This article first reviews the advances made in the field of graph drawing that have then often been applied by the information visualisation community. There then follows a discussion of a range of techniques developed specifically for graph visualisations. Graph drawing algorithms are categorised into the following approaches: force-directed layouts, the use of dimension reduction in graph layout and computational improvements including multi-level techniques. Methods developed specifically for graph visualisation often make use of node-attributes and are categorised based on whether the attributes are used to introduce constraints to the layout, provide a clustered view or define an explicit representation in two-dimensional space. The similarities and distinctions between these techniques are examined and the aim is to provide a detailed assessment of currently available graph layout techniques, specifically how they can be used by visualisation practitioners, and to motivate further research in the area.
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Bravo, A., and A. M. Maier. "IMMERSIVE VISUALISATIONS IN DESIGN: USING AUGMENTED REALITY (AR) FOR INFORMATION PRESENTATION." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 1215–24. http://dx.doi.org/10.1017/dsd.2020.33.

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AbstractImmersive visualisations introduce new possibilities for experiencing design, and as such for presenting information. To date, studies in design have focused mostly on immersive visualisations supporting product decisions. However, little attention has been paid to information presentation, e.g. in design reviews, for decisions in the boardroom, and/or for client presentations. This study with industry practitioners identifies information presentation practices and challenges, develops an immersive visualisation prototype, and explores opportunities for the use of immersive visualisations.
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Herman, Ivan, Maylis Delest, and Guy Melancon. "Tree Visualisation and Navigation Clues for Information Visualisation." Computer Graphics Forum 17, no. 2 (June 1998): 153–65. http://dx.doi.org/10.1111/1467-8659.00235.

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Idrissov, Agzam, Simon Rapp, Albert Albers, and Anja M. Maier. "DEVELOPING SYSTEMS VISUALISATIONS IN DESIGN THROUGH A TYPOLOGY OF VISUAL TASKS: A MECHATRONIC CASE." Proceedings of the Design Society 1 (July 27, 2021): 1213–22. http://dx.doi.org/10.1017/pds.2021.121.

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AbstractVisual representations are essential to design. Data-rich representations such as systems visualisations are gaining prominence in engineering practice. However, as such visualisations are often developed ad-hoc, we propose more systematically to link visual tasks with design-specific tasks for which the visualisations are used. Whereas research on such linking focuses mostly on CAD models and sketches, no such studies are yet available for systems visualisations. Thus, this paper introduces a typology of visual tasks from the Information Visualisation field to aid the development of systems visualisations in design. To build a visualisation using the typology, a case study with engineering students developing an autonomous robot was conducted. Through interviews and analysis of product representations used, design-specific tasks were identified and decomposed into visual tasks. Then, a visualisation that assisted the team in performing their design activities was created. Results illustrate the benefits of using such a typology to describe visual tasks and generate systems visualisations. The study suggests implications for researchers studying visual representations in design as well as for developers of systems visualisations.
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Donohoe, David, and Eamon Costello. "Data Visualisation Literacy in Higher Education: An Exploratory Study of Understanding of a Learning Dashboard Tool." International Journal of Emerging Technologies in Learning (iJET) 15, no. 17 (September 11, 2020): 115. http://dx.doi.org/10.3991/ijet.v15i17.15041.

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The visualisation of data has become ubiquitous. Visualisations are used to represent data in a way that is easy to understand and useful in our lives. Each data visualisation needs to be suitable to extract the correct information to complete a task and make an informed decision while minimising the impact of biases. To achieve this, the ability to create and read visualisations has become as important as the ability to read and write. Therefore, the Information Visualisation community is applying more attention to literacy and decision making in data vis-ualisations. Until recently, researchers lacked valid and reliable test in-struments to measure the literacy of users or the taxonomy to detect biased judgement in data visualisations. A literature review showed there is relatively little research on data visualisations for different user data literacy levels in authentic settings and a lack of studies that pro-vide evidence for the presence of cognitive biases in data visualisa-tions. This exploratory research study was undertaken to develop a method to assess perceived usefulness and confidence in reporting dashboards within higher education by adapting existing research in-struments. A survey was designed to test perceived usefulness, per-ceived skill and 24 multiple-choice test items covering six data visuali-sations based on eight tasks. The study was sent to 157 potential par-ticipants, with a response rate of 20.38%. The results showed data vis-ualisations are useful, but the purpose of some data visualisations is not always understood. Also, we showed there is a consensus that re-spondents perceive their data visualisation literacy is higher than they believe their peers to be. However, the higher their overconfidence, the lower their actual data visualisation literacy score. Finally, we discuss the benefits, limitations and possible future research areas.
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Joseph, Pauline, Aaron Justin Kent, Peter Damian Green, Matthew Robinson, and Amanda Bellenger. "Analysis of EZproxy server logs to visualise research activity in Curtin’s online library." Library Hi Tech 37, no. 4 (November 18, 2019): 845–65. http://dx.doi.org/10.1108/lht-04-2018-0050.

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Purpose The purpose of this paper is to develop data visualisation proof of concept prototypes that will enable the Curtin University Library team to explore its users’ information-seeking behaviour and collection use online by analysing the library’s EZproxy logs. Design/methodology/approach Curtin Library’s EZproxy log file data from 2013 to 2017 is used to develop the data visualisation prototypes using Unity3D software. Findings Two visualisation prototypes from the EZproxy data set are developed. The first, “Global Visualisation of Curtin Research Activity”, uses a geographical map of the world as a platform to show where each research request comes from, the time each is made and the file size of the request. The second prototype, “Database Usage Visualisation”, shows the use of the library’s various subscription databases by staff and students daily, over a month in April 2017. Research limitations/implications The paper has following limitations: working to a tight timeline of ten weeks; time taken to cleanse noise data; and requirements for storing and hosting the voluminous data sets. Practical implications The prototypes provide visual evidence of the use of Curtin Library’s digital resources at any time and from anywhere by its users, demonstrating the demand for the library’s online service offerings. These prototype evidence-based data visualisations empower the library to communicate in a compelling and interesting way how its services and subscriptions support Curtin University’s missions. Originality/value The paper provides innovative approaches to create immersive 3D data visualisation prototypes to make sense of complex EZproxy data sets.
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Meier, Sebastian, and Katrin Glinka. "The Individual in the Data — the Aspect of Personal Relevance in Designing Casual Data Visualisations." i-com 16, no. 3 (December 20, 2017): 247–65. http://dx.doi.org/10.1515/icom-2017-0025.

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AbstractOver the last two decades, data visualisation has diffused into the broader realm of mass communication. Before this shift, tools and displays of data-driven geographic- and information visualisation were mostly used in expert contexts. By now, they are also used in casual contexts, for example on newspaper websites, government data portals and many other public outlets. This diversification of the audience poses new challenges within the visualisation community. In this paper we propose personal relevance as one factor to be taken into account when designing casual data visualisations, which are meant for the communication with non-experts. We develop a conceptual model and present a related set of design techniques for interactive web-based visualisations that are aimed at activating personal relevance. We discuss our proposed techniques by applying them to a use case on the visualisation of air pollution in London (UK).
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Pereira, Arnaldo, João Rafael Almeida, Rui Pedro Lopes, and José Luís Oliveira. "Semantic Data Visualisation for Biomedical Database Catalogues." Healthcare 10, no. 11 (November 15, 2022): 2287. http://dx.doi.org/10.3390/healthcare10112287.

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Biomedical databases often have restricted access policies and governance rules. Thus, an adequate description of their content is essential for researchers who wish to use them for medical research. A strategy for publishing information without disclosing patient-level data is through database fingerprinting and aggregate characterisations. However, this information is still presented in a format that makes it challenging to search, analyse, and decide on the best databases for a domain of study. Several strategies allow one to visualise and compare the characteristics of multiple biomedical databases. Our study focused on a European platform for sharing and disseminating biomedical data. We use semantic data visualisation techniques to assist in comparing descriptive metadata from several databases. The great advantage lies in streamlining the database selection process, ensuring that sensitive details are not shared. To address this goal, we have considered two levels of data visualisation, one characterising a single database and the other involving multiple databases in network-level visualisations. This study revealed the impact of the proposed visualisations and some open challenges in representing semantically annotated biomedical datasets. Identifying future directions in this scope was one of the outcomes of this work.
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Zabukovec, Alenka, and Jurij Jaklič. "The Impact of Information Visualisation on the Quality of Information in Business Decision-Making." International Journal of Technology and Human Interaction 11, no. 2 (April 2015): 61–79. http://dx.doi.org/10.4018/ijthi.2015040104.

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The visualisation of information for business decision-making is a relatively understudied area despite the promising benefits. Previous research confirms the value of information visualisation. Still, the mechanisms of the impacts on the quality of information are poorly understood. Therefore, the authors examine the impact of the quality and quantity of information visualisation on the quality of the content and access to information among different types of users and for various types of use. The results show the varying importance of the quality and quantity of visualisation for the quality of information and that there are statistically significant differences between groups of decision-makers and decision-making in various situations. Information visualisation adjustments for different user perceptual types and for various business decision-making situations can increase the quality of information and potentially lead to the faster and more accurate receipt and processing of business information.
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Dissertations / Theses on the topic "Information visualisation"

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Paverd, Wayne. "Information visualisation." Master's thesis, University of Cape Town, 1996. http://hdl.handle.net/11427/13528.

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Bibliography: leaves 100-102.
Information visualisation uses interactive three-dimensional (3D) graphics to create an immersive environment for the exploration of large amounts of data. Unlike scientific visualisation, where the underlying physical process usually takes place in 3D space, information visualisation deals with purely abstract data. Because abstract data often lacks an intuitive visual representation, selecting an appropriate representation of the data becomes a challenge. As a result, the creation of information visualisation involves as much exploration and investigation as the eventual exploration of that data itself. Unless the user of the data is also the creator of the visualisations, the turnaround time can therefore become prohibitive. In our experience, existing visualisation applications often lack the flexibility required to easily create information visualisations. These solutions do not provide sufficiently flexible and powerful means of both visually representing the data, and specifying user-interface interactions with the underlying database. This thesis describes a library of classes that allows the user to easily implement visualisation primitives, with their accompanying interactions. These classes are not individual visualisations but can be combined to form more complex visualisations. Classes for creating various primitive visual representations have been created. In addition to this, a number of auxillary classes have been created that provide the user with the ability to swap between visualisations, scale whole scenes, and use automatic level of detail control. The classes all have built-in interaction methods which allow the user to easily incorporate the forms of interaction that we found the most useful, for example the ability to select a data. item and thereby obtain more information about it, or the ability to allow the user to change the position of certain data items. To demonstrate the effectiveness of the classes we implemented and evaluated a. number of example systems. We found that the result of using the classes was a decrease in development time as well as enabling people with little, or no visualisation experience to create information visualisations.
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Rice, Iain. "Probabilistic topographic information visualisation." Thesis, Aston University, 2015. http://publications.aston.ac.uk/27348/.

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The focus of this thesis is the extension of topographic visualisation mappings to allow for the incorporation of uncertainty. Few visualisation algorithms in the literature are capable of mapping uncertain data with fewer able to represent observation uncertainties in visualisations. As such, modifications are made to NeuroScale, Locally Linear Embedding, Isomap and Laplacian Eigenmaps to incorporate uncertainty in the observation and visualisation spaces. The proposed mappings are then called Normally-distributed NeuroScale (N-NS), T-distributed NeuroScale (T-NS), Probabilistic LLE (PLLE), Probabilistic Isomap (PIso) and Probabilistic Weighted Neighbourhood Mapping (PWNM). These algorithms generate a probabilistic visualisation space with each latent visualised point transformed to a multivariate Gaussian or T-distribution, using a feed-forward RBF network. Two types of uncertainty are then characterised dependent on the data and mapping procedure. Data dependent uncertainty is the inherent observation uncertainty. Whereas, mapping uncertainty is defined by the Fisher Information of a visualised distribution. This indicates how well the data has been interpolated, offering a level of ‘surprise’ for each observation. These new probabilistic mappings are tested on three datasets of vectorial observations and three datasets of real world time series observations for anomaly detection. In order to visualise the time series data, a method for analysing observed signals and noise distributions, Residual Modelling, is introduced. The performance of the new algorithms on the tested datasets is compared qualitatively with the latent space generated by the Gaussian Process Latent Variable Model (GPLVM). A quantitative comparison using existing evaluation measures from the literature allows performance of each mapping function to be compared. Finally, the mapping uncertainty measure is combined with NeuroScale to build a deep learning classifier, the Cascading RBF. This new structure is tested on the MNist dataset achieving world record performance whilst avoiding the flaws seen in other Deep Learning Machines.
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Lahtinen, Linn. "Mobile Information Visualisation : Recommendations for creating better information visualisation interfaces on mobile devices." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210563.

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An increasing use of smartphones and other mobile devices puts pressure on user interfaces to work as well on small touch-screens as on desktop computers, and information visualisation interfaces are no exception. Even though there has been a demand for research on mobile information visualisation for many years, relatively little has been accomplished in this area, and the research that has been conducted is often narrow and oriented toward to a certain design. Therefore, this paper aims to give more general recommendations regarding the design of information visualisation interfaces for mobile devices. A qualitative user study was conducted to find weaknesses and strengths in existing information visualisation interfaces when interacted with on a smartphone. For this study, five prototypes were made by which different visualisations and interaction methods were tested by the participants of the study. The participants were given tasks based on the Visual Information Seeking Mantra, which focuses on four types of interaction with information visualisations (overview, zoom, filter and details-on-demand). The results indicate that the interaction with a visualisation is more important than visualisation itself to achieve a useful and efficient information visualisation interface. Other aspects to consider is to have an adequate zoom function, to not have interactive objects that are too small and to avoid over-cluttering. The latter aspect can be solved by either taking advantage of gestures or using more layers in the interface. However, what visualisations and interaction methods that work best is heavily dependent on the data and purpose of the visualisation
En ökande användning av smartphones och andra mobila enheter sätter press på användargränssnitt att fungera lika bra på små pekskärmar som på stationära datorer, och gränssnitt för informationsvisualisering är inget undantag. Trots att det har funnits en efterfrågan på forskning om mobil informationsvisualisering under många år har relativt lite uppnåtts inom detta område, samt att den forskning som har utförts ofta är smal och inriktad mot en viss design. Därför är syftet för denna forskningsartikel att ge mer allmänna rekommendationer om utformningen av gränssnitt för informationsvisualisering på mobila enheter. En kvalitativ användarstudie genomfördes för att hitta svagheter och styrkor i befintliga gränssnitt vid interaktion med en smartphone. För denna studie gjordes fem prototyper genom vilka olika visualiseringar och interaktionsmetoder testades av deltagarna i studien. Deltagarna fick uppgifter baserade på et mantra kallat ”the Visual Information Seeking Mantra”, som fokuserar på fyra typer av interaktion med informationsvisualiseringar. Resultaten indikerar att interaktionen med en visualisering är viktigare än själva visualiseringen för att uppnå ett användbart och effektivt informationsvisualiseringsgränssnitt. Andra aspekter att tänka på är att ha en effektiv zoomfunktion, att inte ha interaktiva objekt som är för små och att undvika att ha för många objekt på ett litet område. Den senare aspekten kan lösas genom att antingen dra fördel av gester eller använda fler lager i gränssnittet. Vilka visualiseringar och interaktionsmetoder som fungerar bäst är dock starkt beroende av data och syftet med visualiseringen.
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Badawood, Donia. "Narrative construction in information visualisation." Thesis, City, University of London, 2015. http://openaccess.city.ac.uk/15994/.

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Storytelling has been used throughout the ages as means of communication, conveying and transmitting knowledge from one person to another and from one generation to the next. In various domains, formulating of messages, ideas, or findings into a story has proven its efficiency in making them comprehensible, memorable, and engaging. Information Visualization as an academic field also utilises the power of storytelling to make visualizations more understandable and interesting for a variety of audiences. Although storytelling has been a a topic of interest in information visualization for some time, little or no empirical evaluations exist to compare different approaches to storytelling through information visualization. There is also a need for work that addresses in depth some criteria and techniques of storytelling such as transition types in visual stories in general and data-driven stories in particular. Two sets of experiments were conducted to explore how two different models of information visualization delivery influence narratives constructed by audiences. The first model involves direct narrative by a speaker using visualization software to tell a data-story, while the second involves constructing a story by interactively exploring the visualization software. The first set of experiments is a within-subject experiment with 13 participants, and the second set of experiments is a between-subject experiment with 32 participants. In both rounds, an open-ended questionnaire was used in controlled laboratory settings in which the primary goal was to collect a number of written data-stories derived from the two models. The data-stories and answers written by the participants were all analysed and coded using data-driven and pre-set themes. The themes include reported impressions about the story, insight types reported, narrative structures, curiosity about the data, and ease of telling a story after experimenting with each model. The findings show that while the delivery model has no effect on how easy or difficult the participants found telling a data story to be, it does have an effect on the tendency to identify and use outliers' insights in the data story if they are not distracted by direct narration. It also affects the narrative structure and depth of the data story. Examining some more mature domains of visual storytelling, such as films and comics, can be highly beneficial to this new sub-field of data visualization. In the research in hand, a taxonomy of panel-to-panel transitions in comics has been used. The definitions of the components of this taxonomy have been refined to reflect the nature of data-stories in information visualization, and the taxonomy has then been used in coding a number of VAST Challenge videos. The transitions used in each video have been represented graphically with a diagram that shows how the information was added incrementally in order to tell a story that answers a particular question. A number of issues have been taken into account when coding transitions in each video and when designing and creating the visual diagram, such as nested transitions, the use of sub-topics, and delayed transitions. The major contribution of this part of the research is the provision of a taxonomy and description of transition types in the context of narrative visualization, an explanation of how this taxonomy can be used to code transitions in narrative visualization, and a visual summary as a means of summarising that coding. The approaches to data analysis and different storytelling axes, both in the experimental work and in proposing and applying the framework of transition types used, can be usefully applied to other studies and comparisons of storytelling approaches.
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Ingram, Robert J. "Legibility enhancement for information visualisation." Thesis, University of Nottingham, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307802.

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Fill, Hans-Georg. "Visualisation for semantic information systems." Wiesbaden Gabler, 2006. http://d-nb.info/992136148/04.

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Long, Elena. "Election data visualisation." Thesis, University of Plymouth, 2013. http://hdl.handle.net/10026.1/1589.

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Visualisations of election data produced by the mass media, other organisations and even individuals are becoming increasingly available across a wide variety of platforms and in many different forms. As more data become available digitally and as improvements to computer hardware and software are made, these visualisations have become more ambitious in scope and more user-friendly. Research has shown that visualising data is an extremely powerful method of communicating information to specialists and non-specialists alike. This amounts to a democratisation of access to political and electoral data. To some extent political science lags behind the progress that has been made in the field of data visualisation. Much of the academic output remains committed to the paper format and much of the data presentation is in the form of simple text and tables. In the digital and information age there is a danger that political science will fall behind. This thesis reports on a number of case studies where efforts were made to visualise election data in order to clarify its structure and to present its meaning. The first case study demonstrates the value of data visualisation to the research process itself, facilitating the understanding of effects produced by different ways of estimating missing data. A second study sought to use visualisation to explain complex aspects of voting systems to the wider public. Three further case studies demonstrate the value of collaboration between political scientists and others possessing a range of skills embracing data management, software engineering, broadcasting and graphic design. These studies also demonstrate some of the problems that are encountered when trying to distil complex data into a form that can be easily viewed and interpreted by non-expert users. More importantly, these studies suggest that when the skills balance is correct then visualisation is both viable and necessary for communicating information on elections.
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Sun, Yi. "Non-linear hierarchical visualisation." Thesis, Aston University, 2002. http://publications.aston.ac.uk/13263/.

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This thesis applies a hierarchical latent trait model system to a large quantity of data. The motivation for it was lack of viable approaches to analyse High Throughput Screening datasets which maybe include thousands of data points with high dimensions. We believe that a latent variable model (LTM) with a non-linear mapping from the latent space to the data space is a preferred choice for visualising a complex high-dimensional data set. As a type of latent variable model, the latent trait model can deal with either continuous data or discrete data, which makes it particularly useful in this domain. In addition, with the aid of differential geometry, we can imagine that distribution of data from magnification factor and curvature plots. Rather than obtaining the useful information just from a single plot, a hierarchical LTM arranges a set of LTMs and their corresponding plots in a tree structure. We model the whole data set with a LTM at the top level, which is broken down into clusters at deeper levels of the hierarchy. In this manner, the refined visualisation plots can be displayed in deeper levels and sub-clusters may be found. Hierarchy of LTMs is trained using expectation-maximisation (EM) algorithm to maximise its likelihood with respect to the data sample. Training proceeds interactively in a recursive fashion (top-down). The user subjectively identifies interesting regions on the visualisation plot that they would like to model in a greater detail. At each stage of hierarchical LTM construction, the EM algorithm alternates between the E - and M - step. Another problem that can occur when visualising a large data set is that there may be significant overlaps of data clusters. It is very difficult for the user to judge where centres of regions of interest should be put. We address this problem by employing the minimum message length technique, which can help the user to decide the optimal structure of the model.
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Taylor, Ian. "'Dynamic scaling for three-dimensional information visualisation'." Thesis, University of Nottingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324478.

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Hales, Gavin. "Assisting digital forensic analysis via exploratory information visualisation." Thesis, Abertay University, 2016. https://rke.abertay.ac.uk/en/studentTheses/774128b9-957e-4a05-aa74-dbeefebb8113.

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Background: Digital forensics is a rapidly expanding field, due to the continuing advances in computer technology and increases in data stage capabilities of devices. However, the tools supporting digital forensics investigations have not kept pace with this evolution, often leaving the investigator to analyse large volumes of textual data and rely heavily on their own intuition and experience. Aim: This research proposes that given the ability of information visualisation to provide an end user with an intuitive way to rapidly analyse large volumes of complex data, such approached could be applied to digital forensics datasets. Such methods will be investigated; supported by a review of literature regarding the use of such techniques in other fields. The hypothesis of this research body is that by utilising exploratory information visualisation techniques in the form of a tool to support digital forensic investigations, gains in investigative effectiveness can be realised. Method:To test the hypothesis, this research examines three different case studies which look at different forms of information visualisation and their implementation with a digital forensic dataset. Two of these case studies take the form of prototype tools developed by the researcher, and one case study utilises a tool created by a third party research group. A pilot study by the researcher is conducted on these cases, with the strengths and weaknesses of each being drawn into the next case study. The culmination of these case studies is a prototype tool which was developed to resemble a timeline visualisation of the user behaviour on a device. This tool was subjected to an experiment involving a class of university digital forensics students who were given a number of questions about a synthetic digital forensic dataset. Approximately half were given the prototype tool, named Insight, to use, and the others given a common open-source tool. The assessed metrics included: how long the participants took to complete all tasks, how accurate their answers to the tasks were, and how easy the participants found the tasks to complete. They were also asked for their feedback at multiple points throughout the task. Results:The results showed that there was a statistically significant increase in accuracy for one of the six tasks for the participants using the Insight prototype tool. Participants also found completing two of the six tasks significantly easier when using the prototype tool. There were no statistically significant different difference between the completion times of both participant groups. There were no statistically significant differences in the accuracy of participant answers for five of the six tasks. Conclusions: The results from this body of research show that there is evidence to suggest that there is the potential for gains in investigative effectiveness when information visualisation techniques are applied to a digital forensic dataset. Specifically, in some scenarios, the investigator can draw conclusions which are more accurate than those drawn when using primarily textual tools. There is also evidence so suggest that the investigators found these conclusions to be reached significantly more easily when using a tool with a visual format. None of the scenarios led to the investigators being at a significant disadvantage in terms of accuracy or usability when using the prototype visual tool over the textual tool. It is noted that this research did not show that the use of information visualisation techniques leads to any statistically significant difference in the time taken to complete a digital forensics investigation.
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Books on the topic "Information visualisation"

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Loughran, John. Information retrieval & visualisation. (s.l: The Author), 1998.

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Smyth, Bryan. Dynamic visualisation of information. [S.l.]: [The author], 1996.

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Bentham, Gary P. Towards an information visualisation system. Manchester: UMIST, 1998.

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Fill, Hans-Georg. Visualisation for Semantic Information Systems. Wiesbaden: Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-9514-8.

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Chen, Chaomei. Information Visualisation and Virtual Environments. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-3622-4.

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Fill, Hans-Georg. Visualisation for Semantic Information Systems. Wiesbaden: Gabler Verlag / GWV Fachverlage GmbH, Wiesbaden, 2009.

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Bled, Daniel. Information visualisation in a new dimension. [s.l: The author], 1999.

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Bödeker, Barry. Visualisation of multidimensional information: A conceptual approach. [S.l: The author], 1995.

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International Conference on Medical Information Visualisation (4th 2007 Zurich, Switzerland). Proceedings, 4th International Conference Medical Information Visualisation: BioMedical Visualisation : MediViz 2007 : 4-6 July, 2007, Zurich, Switzerland. Los Alamitos, Calif: IEEE Computer Society, 2007.

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International Conference on Medical Information Visualisation (2006 London, England). Proceedings: International Conference on Medical Information Visualisation - Biomedical Visualisation (MediVis 2006), July 5-7, 2006, London, England. Los Alamitos, Calif: IEEE Computer Society, 2006.

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Book chapters on the topic "Information visualisation"

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Cassettari, Seppe. "Visualisation." In Introduction to Integrated Geo-information Management, 169–93. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1504-9_10.

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Nguyen, Hoang Long, and Rajendra Akerkar. "Emergency Information Visualisation." In Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data, 149–83. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48099-8_8.

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Dix, Alan. "Introduction to Information Visualisation." In Information Retrieval Meets Information Visualization, 1–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36415-0_1.

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Chalmers, Matthew. "Visualisation of complex information." In Lecture Notes in Computer Science, 152–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57433-6_46.

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Liu, Kecheng, and Chekfoung Tan. "Semiotics in Digital Visualisation." In Enterprise Information Systems, 3–13. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22348-3_1.

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Meddes, Jonathan, and Eric McKenzie. "An Agent-Based Visualisation Architecture." In Visual Information and Information Systems, 43–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48762-x_6.

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Chen, Chaomei. "Information Visualisation Systems and Applications." In Information Visualisation and Virtual Environments, 93–138. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-3622-4_4.

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Fill, Hans-Georg. "Survey of Existing Visualisation Approaches." In Visualisation for Semantic Information Systems, 39–159. Wiesbaden: Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-9514-8_3.

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Chen, Chaomei. "Introduction." In Information Visualisation and Virtual Environments, 1–25. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-3622-4_1.

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Chen, Chaomei. "Finding Salient Structures." In Information Visualisation and Virtual Environments, 27–60. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-3622-4_2.

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Conference papers on the topic "Information visualisation"

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"Information Visualisation." In 2022 26th International Conference Information Visualisation (IV). IEEE, 2022. http://dx.doi.org/10.1109/iv56949.2022.00001.

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Meiller, Dieter, Matthias Hemmje, and Claus-Peter Klas. "Aesthetic visualisation of information." In the International Working Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2254556.2254677.

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Pinney, Joel, Fiona Carroll, and Esyin Chew. "Enthusiast Versus Antagonist: Exploring the Perceptions of Data Experts on the Visualisation of Uncertainty." In Human Interaction and Emerging Technologies (IHIET-AI 2022) Artificial Intelligence and Future Applications. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100892.

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Abstract:
Despite the copious number of reasons to visualise uncertainty in visualisations, there is still a reluctance to actively represent uncertainties. This paper explores the perceptions of data experts considering uncertainty visualisation and their reasoning behind lacking engagement. By documenting a series of interviews with data experts, the authors uncover the perceptions and constraints faced when contemplating uncertainty visualisation. Through several industries, the authors reveal numerous perceived benefits of uncertainty visualisation but also the strong influence end-users have on the decision to incorporate the additional information. Finally, the paper reflects on a lack of experience but also the commitment from the data experts to the use of aesthetics in developing intuitive uncertainty visualisations. Whilst also highlighting their perceived benefits around what the aesthetic could bring to both visualisation development and uncertainty visualisation design. The study documented in this paper feeds into a larger body of research on aesthetic uncertainty visualisation.
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"International Conference on Medical Information Visualisation--BioMedical Visualisation - Copyright." In International Conference on Medical Information Visualisation--BioMedical Visualisation (MedVis 06). IEEE, 2006. http://dx.doi.org/10.1109/medivis.2006.14.

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"International Conference on Medical Information Visualisation--BioMedical Visualisation - Cover." In International Conference on Medical Information Visualisation--BioMedical Visualisation (MedVis 06). IEEE, 2006. http://dx.doi.org/10.1109/medivis.2006.15.

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"International Conference on Medical Information Visualisation--BioMedical Visualisation - Title." In International Conference on Medical Information Visualisation--BioMedical Visualisation (MedVis 06). IEEE, 2006. http://dx.doi.org/10.1109/medivis.2006.16.

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"International Conference on Medical Information Visualisation--BioMedical Visualisation - TOC." In International Conference on Medical Information Visualisation--BioMedical Visualisation (MedVis 06). IEEE, 2006. http://dx.doi.org/10.1109/medivis.2006.17.

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"International Conference on Medical Information Visualisation - BioMedical Visualisation - Copyright." In International Conference on Medical Information Visualisation - BioMedical Visualisation (MediVis 2007). IEEE, 2007. http://dx.doi.org/10.1109/medivis.2007.13.

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"International Conference on Medical Information Visualisation - BioMedical Visualisation - Cover." In International Conference on Medical Information Visualisation - BioMedical Visualisation (MediVis 2007). IEEE, 2007. http://dx.doi.org/10.1109/medivis.2007.14.

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"International Conference on Medical Information Visualisation - BioMedical Visualisation - Title." In International Conference on Medical Information Visualisation - BioMedical Visualisation (MediVis 2007). IEEE, 2007. http://dx.doi.org/10.1109/medivis.2007.16.

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Reports on the topic "Information visualisation"

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Wright, Alex, Peter Sanders, John Proust, Robin Workman, Tadas Andriejauskas, and Hao Ye. The new toolkit for highways asset management. TRL, September 2021. http://dx.doi.org/10.58446/ojct3729.

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The application of consistent, reliable information is a key component of highway asset management. However, the tools to understand asset performance have developed rapidly over the last decade. These include asset surveys, intelligent infrastructure monitoring, crowd sourcing, remote sensing, data analytics and visualisation. However, their potential is not yet being fully exploited within the highway environment. By bringing these components of sensing and measurement together we could better understand highway assets and improve reactive and proactive decisions. This paper discusses the tools now available to understand the performance of highway assets. It explores their current and future capabilities, the benefits they bring, and the possibilities that could be achieved through their application within an integrated toolkit. Whilst these tools are not in themselves “new”, a key objective of the paper has been to highlight their emerging capabilities, bring awareness to highway asset managers, and encourage their take up. Increased application will inevitably lead to further development in capability and, importantly, accessibility. There are a number of challenges to overcome to draw full value from these technologies. These include the technical, commercial, and social barriers that influence development and accessibility. The paper discusses actions that could help overcome these, which are presented within the context of a roadmap to the implementation of an integrated toolkit. The roadmap is not definitive - it aims to stimulate further thinking, debate and discussion. The effective management of infrastructure assets is essential to deliver a clean, efficient, safe, reliable and accessible network. A joined up and collaborative approach will help the community achieve the benefits of the integrated toolkit that will help asset managers achieve this.
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