This study analyses the way information regarding performance measurements is shared among employees working at the shop floor at Dalvich Optic in Sweden. This study is conducted because many companies failed to implement a system that facilitates daily performance measurements as they neglected the assembly operators’ role in decision making process. Companies focus on measuring wrong parameters and visualize information about performance measurements in wrong way. The purpose of this study is to demonstrate that new Information Technology (IT) artefacts are designed by experts for use by experts. IT artefacts are designed without taking into account assembly operators’ skills, education and experiences. Thus, limiting assembly operators’ ability to achieve daily production goals. Therefore, this study highlights the role of both assembly operators and visualizing information at the shop floor and their impact on performance measurements and productivity.   After analysis, this study develops a new IT artefact. The implementation of the new IT artefact at the company leads to a new leadership where management meet assembly operators in a daily basis, creating good environment for direct communication. As a result, the company increased its production by 50 percent compared to the previous year and it has doubled the production compared to 2010. The information about production status became visible and accessible to all employees since the information displayed through the new IT artefact was monitored in an easy-to- understand way. The presentation and visualization of information regarding productivity offered assembly operators and managers the possibility to react quickly when any disparity concerning goal achievement arose. As a result, the new IT artefact enhances assembly operators’ participation at the manufacturing process as well. Assembly operators took active role on manufacturing process since information about performance measurement was compiled and maintained by themselves; thus, positively influencing production outcomes. Furthermore, a new IT artefact created an arena where employees contributed to continuous improvements and problem-solving at work.   This study was conducted during a period of six months. Data was gathered through observations, interviews, and meetings with managers and assembly operators at a manufacturing plant. Furthermore, data from books, articles, and journals helped in analysing the way information was visualized and communicated in a manufacturing plant. ADR, Action Design Research method was used to design a new and simple IT artefact that considers employees’ skills, experiences and education.

Thesis(M.S.)--Auburn University, 2006. / Abstract. Vita. Includes bibliographic references (p.56-59).

Thesis (Ph.D.)--Mississippi State University. Department of Computer Science and Engineering. / Title from title screen. Includes bibliographical references.

This master thesis emphasizes the importance of aviation meteorological data for flight planning and for making inflight strategic decisions. It describes conventional ways of obtaining meteorological data before and during the flight. It provides the overview of alternative ways of acquiring weather related information. The master thesis compares how hazardous meteorological phenomena - thunderstorms, turbulence and icing - are displayed within the described commercial products.

Thesis (M.C.S.)--Miami University, Dept. of Computer Science and Systems Analysis, 2007. / Title from first page of PDF document. Includes bibliographical references (p. 86-88).

The MA thesis presents the discipline of information design as a large but a compact unit. The chapter about the history in the wider framework of visual communication and the chapter about information age present conditions and context of evolution of information design to its contemporary forms. These chapters are followed by information design characteristic and division into several categories completed by a selection of representative examples. In addition to information design, an area of less constrained production (cases when readability prevails over aesthetics) of information art is presented here. "Web site offers a structured overview of information design and a view of different ways of perception of information through design."

Made available in DSpace on 2016-04-04T18:36:32Z (GMT). No. of bitstreams: 1 Mateus Pereira Dias.pdf: 6665392 bytes, checksum: e3195a7b8b0ea5d32fc6d23b9a2831fc (MD5) Previous issue date: 2007-05-24 / Digitally filed information is presented to its users in several different ways, thanks to computer resources available now. Under this context, the availability of information as images and graphics was increased to enable user s comprehension about something unknown. One field that has been concerned with this subject is the Visualization of Information, which aim is to potentialize the appropriation of information to the user by means of graphic resources known as Visualization of Information Structures. This work aims to study the behavior of such available structures for an efficient use by the Information Science. It initially offers an analysis of the technical referential about the Visualization of Information area, showing its structures, features and reflexes on the cognitive systems of its users. Finally, the most used types of Visualization of Information and the suggestions to their use at Information Science are presented in a detailed way / As informa??es armazenadas em meios digitais s?o apresentadas aos seus usu?rios de diversas formas, gra?as aos recursos computacionais dispon?veis na atualidade. Sob esse contexto, ampliou-se a disponibiliza??o de informa??es na forma de imagens e gr?ficos, com o objetivo de facilitar a compreens?o do usu?rio sobre algum conhecimento. Uma ?rea que tem se preocupado com esse assunto ? a da Visualiza??o da Informa??o, cujo fim ? o de potencializar a apropria??o de informa??o ao usu?rio, por meio de recursos gr?ficos conhecidos como Estruturas de Visualiza??o de Informa??o. Este trabalho visa a estudar o comportamento de tais estruturas dispon?veis para a utiliza??o eficiente pela Ci?ncia da Informa??o. Inicialmente, oferece uma an?lise do referencial te?rico sobre a ?rea da Visualiza??o da Informa??o, apresenta suas estruturas, caracter?sticas e reflexos no sistema cognitivo dos seus usu?rios. Finalmente, s?o apresentados, de forma detalhada, os tipos de estruturas de Visualiza??o de Informa??es mais utilizados e as sugest?es para o uso de cada um deles para a Ci?ncia da Informa??o

This text focuses on the relation of information and image, hence Information Theory and Image Analysis, as well as visualization of information and methods of visual analytics focusing on analysis of art works. It also concentrates on evolution of digital image and related new type of perception and artificial aesthetics. We narrow the broader topic of the image and image information to the abstract art, namely the work of Czech painter Frantisek Kupka, which is used as input in the experiment presenting original method of image analysis using the function of information entropy (Rényi entropy). This approach was used for the first time for analysis of art works with the aim to obtain the comparaison of natural and artificial classification of image information. We chose the work of abstract art not only with regard to given history of grammatics of abstract forms and its relation to the digital image, but also as an emblematic example of effective gaining of information from complex environment. Work thus summarizes historical context of evolution of digital image and theoretical reflection of contemporary image analytics and others techniques relevant to the image information and emphasizes relation of abstract art to the natural and simulated complexity.

While semantic web data is machine-understandable and well suited for advanced filtering, in its raw representation it is not conveniently understandable to humans. Therefore, visualization is needed. A core challenge when visualizing the structured but heterogeneous data turned out to be a flexible mapping to Visual Variables. This work deals with a highly flexible, semi-automatic solution with a maximum support of the visualization process, reducing the mapping possibilities to a useful subset. The basis for this is knowledge, concerning metrics and structure of the data on the one hand and available visualization structures, platforms and common graphical facts on the other hand — provided by a novel basic visualization ontology. A declarative, platform-independent mapping vocabulary and a framework was developed, utilizing current standards from the semantic web and the Model-Driven Architecture (MDA).:ABSTRACT S. x 1. INTRODUCTION S. 1 2. VISUALIZATION OF STRUCTURED DATA IN GENERAL S. 4 2.1. Global and Local Interfaces S. 4 2.2. Steps of the Visualization Process S. 4 2.3. Existing Visual Selection Mechanisms S. 6 2.4. Existing Visualizations of Structured Data S. 12 2.5. Categorizing SemVis S. 25 3. REQUIREMENTS FOR A FLEXIBLE VISUALIZATION S. 27 3.1. Actors S. 27 3.2. Use Cases S. 27 4. FRESNEL, A STANDARD DISPLAY VOCABULARY FOR RDF S. 31 4.1. Fresnel Lenses S. 31 4.2. Fresnel Formats S. 33 4.3. Fresnel Groups S. 33 4.4. Primaries (Starting Points) S. 33 4.5. Selectors and Inference S. 34 4.6. Application and Reusability S. 34 4.7. Implementation S. 35 5. A VISUALIZATION ONTOLOGY S. 37 5.1. Describing and Formalizing the Field of Visualization S. 37 5.2. Overview S. 37 5.3. VisualVariable S. 38 5.4. DiscreteVisualValue S. 39 5.5. VisualElement S. 41 5.6. VisualizationStructure S. 42 5.7. VisualizationPlatform S. 42 5.8. PresentationScenario S. 43 5.9. Facts S. 44 6. A NOVEL MAPPING VOCABULARY FOR SEMANTIC VISUALIZATION S. 45 6.1. Overview S. 45 6.2. Mapping S. 46 6.3. PropertyMapping S. 47 6.4. ImplicitMapping S. 48 6.5. ExplicitMapping S. 53 6.6. MixedMapping S. 54 6.7. ComplexMapping S. 55 6.8. Inference S. 58 6.9. Explicit Display of Relations S. 58 6.10. Limitations s. 59 7. A MODEL-DRIVEN ARCHITECTURE FOR FLEXIBLE VISUALIZATION S. 60 7.1. A Model-Driven Architecture S. 61 7.2. Applications of the MDA Pattern S. 62 7.3. Complete System Overview S. 71 7.4. Additional Knowledge of the System S. 72 7.5. Comparison to the Graphical Modelling Framework — GMF S. 77 8. VISUALIZATION PLATFORMS S. 80 8.1. Extensible 3D (X3D) S. 80 8.2. Scalable Vector Graphics (SVG) S. 81 8.3. XHTML + CSS S. 82 8.4. Text S. 82 9. OUTLOOK AND CONCLUSION S. 84 9.1. Advanced Mapping Vocabulary S. 84 9.2. Reusing Standardized Ontologies S. 84 9.3. Enabling Dynamic, Interaction and Animation S. 84 9.4. Implementation and Evaluation S. 85 9.5. Conclusion S. 85 GLOSSARY S. 86 BIBLIOGRAPHY S. 87 A. S. 90 A.1. Schemata S. 90 / Während Semantic-Web-Daten maschinenverstehbar und hervorragend filterbar sind, sind sie — in ihrer Rohform — nicht leicht von Menschen verstehbar. Eine Visualisierung der Daten ist deshalb notwendig. Die Kernherausforderung dabei ist eine flexible Abbildung der strukturierten aber heterogenen Daten auf Visuelle Variablen. Diese Arbeit beschreibt eine hochflexible halbautomatische Lösung bei maximaler Unterstützung des Visualisierungsprozesses, welcher die Abbildungsmöglichkeiten, aus denen der Nutzer zu wählen hat, auf eine sinnvolle Teilmenge reduziert. Die Grundlage dafür sind einerseits Metriken und das Wissen über die Struktur der Daten und andererseits das Wissen über verfügbare Visualisierungsstrukturen, -plattformen und bekannte grafische Fakten, welche durch eine neuentwickelte Visualisierungsontologie bereitgestellt werden. Basierend auf Standards des Semantic Webs und der Model-getriebenen Architektur, wurde desweiteren ein deklaratives, plattformunabhängiges Visualisierungsvokabular und -framework entwickelt.:ABSTRACT S. x 1. INTRODUCTION S. 1 2. VISUALIZATION OF STRUCTURED DATA IN GENERAL S. 4 2.1. Global and Local Interfaces S. 4 2.2. Steps of the Visualization Process S. 4 2.3. Existing Visual Selection Mechanisms S. 6 2.4. Existing Visualizations of Structured Data S. 12 2.5. Categorizing SemVis S. 25 3. REQUIREMENTS FOR A FLEXIBLE VISUALIZATION S. 27 3.1. Actors S. 27 3.2. Use Cases S. 27 4. FRESNEL, A STANDARD DISPLAY VOCABULARY FOR RDF S. 31 4.1. Fresnel Lenses S. 31 4.2. Fresnel Formats S. 33 4.3. Fresnel Groups S. 33 4.4. Primaries (Starting Points) S. 33 4.5. Selectors and Inference S. 34 4.6. Application and Reusability S. 34 4.7. Implementation S. 35 5. A VISUALIZATION ONTOLOGY S. 37 5.1. Describing and Formalizing the Field of Visualization S. 37 5.2. Overview S. 37 5.3. VisualVariable S. 38 5.4. DiscreteVisualValue S. 39 5.5. VisualElement S. 41 5.6. VisualizationStructure S. 42 5.7. VisualizationPlatform S. 42 5.8. PresentationScenario S. 43 5.9. Facts S. 44 6. A NOVEL MAPPING VOCABULARY FOR SEMANTIC VISUALIZATION S. 45 6.1. Overview S. 45 6.2. Mapping S. 46 6.3. PropertyMapping S. 47 6.4. ImplicitMapping S. 48 6.5. ExplicitMapping S. 53 6.6. MixedMapping S. 54 6.7. ComplexMapping S. 55 6.8. Inference S. 58 6.9. Explicit Display of Relations S. 58 6.10. Limitations s. 59 7. A MODEL-DRIVEN ARCHITECTURE FOR FLEXIBLE VISUALIZATION S. 60 7.1. A Model-Driven Architecture S. 61 7.2. Applications of the MDA Pattern S. 62 7.3. Complete System Overview S. 71 7.4. Additional Knowledge of the System S. 72 7.5. Comparison to the Graphical Modelling Framework — GMF S. 77 8. VISUALIZATION PLATFORMS S. 80 8.1. Extensible 3D (X3D) S. 80 8.2. Scalable Vector Graphics (SVG) S. 81 8.3. XHTML + CSS S. 82 8.4. Text S. 82 9. OUTLOOK AND CONCLUSION S. 84 9.1. Advanced Mapping Vocabulary S. 84 9.2. Reusing Standardized Ontologies S. 84 9.3. Enabling Dynamic, Interaction and Animation S. 84 9.4. Implementation and Evaluation S. 85 9.5. Conclusion S. 85 GLOSSARY S. 86 BIBLIOGRAPHY S. 87 A. S. 90 A.1. Schemata S. 90