Multidimensional scaling (MDS) is often used by researchers to provide a visual representation of the pattern of proximities (i.e., similarities or distances) among a set of objects normally via 2-D space map. Such re...
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ISBN:
(纸本)9783642221699
Multidimensional scaling (MDS) is often used by researchers to provide a visual representation of the pattern of proximities (i.e., similarities or distances) among a set of objects normally via 2-D space map. Such representation often relates to survey questions involving subjects' multiple responses toward certain attributes in a study. However, too many subjects and attributes will produce massive output points (coordinates) which could dampen the visualization of coordinates in 2-D space map. Therefore, we propose a new way to visualize the MDS output presentation in 2-D space map by reclassifying the results according to attributes with different shapes and colours, and recalculate all the cases to view the similarity scaling according to height and distance ratio between all the output coordinates using Java programming. In this study, responses regarding preferences and reasons for choosing favorite colors were compared between subjects of different sample sizes. The purpose is to see the changes in the responses based on the new visualization of coordinates. The results had shown a marked improvement in the visual representation of the results based on different heights, shapes and colors.
Interactions are central to our endeavours. Whether in a face-to-face session with a doctor or via one of Web 2.0 applications, the way interactions unfold has an impact on the final outcome of the session. This paper...
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ISBN:
(纸本)9780769541655
Interactions are central to our endeavours. Whether in a face-to-face session with a doctor or via one of Web 2.0 applications, the way interactions unfold has an impact on the final outcome of the session. This paper addresses the problem of the development of a visual language and analysis system, enabling visual reasoning about the quality of interactions. The paper presents a system of encoding the way interactions unfold. It presents the foundations of KIA (Kinetic InterActing) visual language and the visual analysis system with this language. The language is then evaluated through comparison with expert judgments when applied to cases in health care. KIA (the language and the analysis system) enables both humans and machines to utilise information about how interactions unfold in order to improve interactions and the processes that depend on them.
The rapid proliferation of visual computing technologies, such as three-dimensional (3D) modeling, 3D simulation, and virtual reality (VR), is precipitating changes in the way that designers and engineers work. visual...
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The rapid proliferation of visual computing technologies, such as three-dimensional (3D) modeling, 3D simulation, and virtual reality (VR), is precipitating changes in the way that designers and engineers work. visual 3D information processing is replacing traditional two-dimensional (2D), numeric and language-based information processing. Many firms are adopting these 3D technologies (3DT) to support product development, electronic commerce and decision-making, yet very little research can be found in the Information Systems (IS) literature about how firms are strategically utilizing this technology. Our research investigated how 3D technologies mediated the knowledge explication process in product development. In this paper, we discuss an exploratory study on the innovative use of 3DT in two companies. This research contributes to the IS field by providing a theoretical framework on how visual computing technologies can better capture, represent, interpret and share organizational knowledge within a product development context. (C) 2003 Elsevier Science B.V. All rights reserved.
作者：
Su, HBZhang, RHTang, XZSun, XMZhu, ZLLi, ZLChinese Acad Sci
Inst Geog Sci & Nat Resources Res Beijing 100101 Peoples R China Princeton Univ
Dept Civil & Environm Engn Princeton NJ 08544 USA Chinese Acad Sci
Inst Geog Sci & Nat Resources Res Beijing 100101 Peoples R China CNRS
Grp Rech Teledetect & Radiometrie Lab Sci Image Informat & Teledetect UMR 7005 F-67400 Illkirch Graffenstaden France Chinese Acad Sci
Inst Geog Sci & Nat Resources Res Beijing 100101 Peoples R China
In this letter, a method called visual computing was used to solve angular four-components' proportions and directional vegetation cover fraction for discrete canopies and continuous row-planted plants. It proved ...
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In this letter, a method called visual computing was used to solve angular four-components' proportions and directional vegetation cover fraction for discrete canopies and continuous row-planted plants. It proved effective to predict the angular characteristics on pixel scale. The method could be an alternative way to classical solution of geometrical optical models. visual computing method would be effective especially when the canopies' spatial distribution and shapes were irregular and could not be described statistically.
Brain-like information processing has become a challenge to modern computer science and chip technology. The CNN (Cellular Neural Network) Universal Chip is the first fully programmable industrial-sized brain-like sto...
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Brain-like information processing has become a challenge to modern computer science and chip technology. The CNN (Cellular Neural Network) Universal Chip is the first fully programmable industrial-sized brain-like stored-program dynamic array computer which dates back to an invention of Leon O. Chua and Lin Yang in Berkeley in 1988. Since then, many papers have been written on the mathematical foundations and technical applications of CNN chips. They are already used to model artificial, physical, chemical, as well as living biological systems. CNN is now a new computing paradigm of interdisciplinary interest. In this state of development a textbook is needed in order to recruit new generations of students and researchers from different fields of research. Thus, Chua's and Roska's textbook is a timely and historic publication. On the background of their teaching experience, they have aimed at undergraduate students from engineering, physics, chemistry, as well as biology departments. But, actually, it offers more. It is a brilliant introduction to the foundations and applications of CNN which is distinguished with conceptual and mathematical precision as well as with detailed explanations of applications in visual computing.
A sentient map enables the user to view a collection of information items as a map so that gestures, or, more specifically c-gestures, can be used for the interaction between the user and the information system. Diffe...
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A sentient map enables the user to view a collection of information items as a map so that gestures, or, more specifically c-gestures, can be used for the interaction between the user and the information system. Different c-gestures are dynamically transformed into spatial/ temporal queries, or a-queries, for accessing the information items in multimedia databases and data sources. An application in e-learning called the Growing Book is described. The visual computing paradigm offered by the sentient map can be summarized as follows: "I come, I see, I gesture".
Data driven behavioral animation is a new visual computing technique that involves mapping data attributes to the behavioral functions of a set of graphical data avatars. When the avatars are allowed to interact, thei...
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Data driven behavioral animation is a new visual computing technique that involves mapping data attributes to the behavioral functions of a set of graphical data avatars. When the avatars are allowed to interact, their individual and group behavior reveals qualitative structures in the data as well as relationships. In this paper we present a set of novel techniques for interacting with systems of data avatars. These are especially intended to support the user in exploring the data visually in the early stages of data analysis. We show that the methodology supports a comprehensive set of interactive tasks including the abstracting of meaning, comparing groups, identifying relationships, imposing structures and hypothesis testing. The techniques are implemented in a system called AnimVis that supports behavioral data exploration in a two-dimensional arena. (C) 2003 Elsevier Ltd. All rights reserved.
Collaborative computing and visual computing have tremendous potential to improve human performance in both individual and team situations. However having been studied as different streams of research, the synergistic...
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Collaborative computing and visual computing have tremendous potential to improve human performance in both individual and team situations. However having been studied as different streams of research, the synergistic potential of these technologies has not been exploited. This paper presents a unifying conceptual model – the Collaborative visualization Research Framework – to examine those synergies. The framework addresses the fundamental problems in collaborative and visual computing by taking a uniquely integrated approach that advances research in each area while intently investigating their interaction in collaborative visualization environments (CVEs). In the discussion of future research directions, four application domains with overlapping needs for visualization and collaboration, but with different emphases, are also profiled – business decision-making, engineering design, software design and knowledge management.
Collaborative computing and visual computing have tremendous potential to improve human performance in both individual and team situations. However having been studied as different streams of research, the synergistic...
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Collaborative computing and visual computing have tremendous potential to improve human performance in both individual and team situations. However having been studied as different streams of research, the synergistic potential of these technologies has not been exploited. This paper presents a unifying conceptual model the Collaborative visualization Research Framework - to examine those synergies. The framework addresses the fundamental problems in collaborative and visual computing by taking a uniquely integrated approach that advances research in each area while intently investigating. their interaction. in collaborative visualization environments (CVEs). In the discussion of future research directions, four application domains with overlapping needs for visualization and collaboration, but with different emphases, are also profiled - business decision-making, engineering design, software design and knowledge management.
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