Expressive Information Visualization Taxonomy for Decision Support Environment

Adnan, WanAdilah Wan; Daud, Nadwah; Noor, Nor Laila Md

doi:10.1109/iccit.2008.330

Cited by 11 publications

(16 citation statements)

References 15 publications

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“…Generally, the interface schemes facilitate sensemaking, as it impacts on user's interpretation and perception of the information presented [10]. The layout of the information on the screen affects the type of tasks that can be performed by users.…”

Section: ) Datasetmentioning

confidence: 99%

“…Generally, the information visualization reference model consists of four main modules [10,15,16]. It includes: Dataset, Representation (or visual mapping), Organization, and Interaction.…”

Section: B Information Visualizationmentioning

confidence: 99%

“…3) Organization Organization refers to the interface schemes that define the manner in which these visual mappings are laid out on a screen to enable user's exploration and interaction [10,15,16]. Generally, the interface schemes facilitate sensemaking, as it impacts on user's interpretation and perception of the information presented [10].…”

Section: ) Datasetmentioning

confidence: 99%

“…2) Representation Representation (or visual mapping) refers to how to transform symbolic representations characteristic of the objects in a dataset and their relationship, into a graphical form using visual encoding mechanisms such as object's size, shape, color, orientation (or position), and dimensionality (text, 2D, or 3D) [10,19]. Representation must take into consideration data type, data dimensions, and the user's perceptual and cognitive abilities [15].…”

Section: ) Datasetmentioning

confidence: 99%

“…[4] [8]); however, some of these frameworks presents service rankings in textual format, either in a list or tables, which does not fully describe the implicit trade-off factors inherent in the search results. Such presentations are ineffective in supporting decision making in an online e-marketplace environment and can increase cognitive load of users [9,10]. Others have used information visualization approaches like radar or kiviat charts that will not suffice to express the rankings of a large number of cloud services.…”

Section: Introductionmentioning

confidence: 99%

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Towards a Visualization Framework for Service Selection in Cloud E-Marketplaces

Ezenwoke

Daramola

Adigun

2017

2017 IEEE International Conference on Web Services (ICWS)

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Abstract-In spite of the success of many commercial cloud service e-marketplaces the search results from these platforms are usually presented as an unordered list of icons representing the services that best fit users' keyword-based queries. The drawback of such presentation mechanisms is that users are not able to immediately discriminate among the cloud services for easy decision making. A number of cloud service selection frameworks have been proposed; however, some of these frameworks do not enable users make comparisons among services. In this paper, we introduce a visualization framework for cloud service selection. Our framework takes into cognizance the set of cloud services that matches a user's request and based on QoS attributes, users can interact with the results via bubble graph visualization to compare and contrast the search results to ascertain the best alternative. The bubble graph enables the exploration of services in a unified view of the QoS space, exhibiting both high object coherence and correlation. Result from our experiments shows that our framework simplifies decision making as users can identify services that best fit their requirements quicker and easier compared to tabular formats.

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Section: ) Datasetmentioning

confidence: 99%

“…Generally, the information visualization reference model consists of four main modules [10,15,16]. It includes: Dataset, Representation (or visual mapping), Organization, and Interaction.…”

Section: B Information Visualizationmentioning

confidence: 99%

Section: ) Datasetmentioning

confidence: 99%

Section: ) Datasetmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Towards a Visualization Framework for Service Selection in Cloud E-Marketplaces

Ezenwoke

Daramola

Adigun

2017

2017 IEEE International Conference on Web Services (ICWS)

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Enhancing Learning with Visualization Techniques

Klerkx

Verbert

Duval

2013

Handbook of Research on Educational Communications and Technology

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The use of visualization techniques in learning is not new. They have been used in maps and drawings for thousands of years. This chapter analyzes how more novel visualization techniques can be used to enhance various activities during the learning process: finding and understanding educational resources, collaboration with learners and teachers, (self-) reflecting about learners' progress, and designing learning experiences. We illustrate our analysis with example tools and visualizations. Results of our analysis indicate that visualization techniques are beginning to be more widely used for learning but further research is needed to assess the added value of these visual approaches in terms of effectiveness, efficiency or other criteria that pertain to learning.

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