Adaptive Knowledge Visualization Systems: A Proposal and Implementation

Bai, Xiangzhi

doi:10.7763/ijeeee.2011.v1.30

Cited by 3 publications

(6 citation statements)

References 15 publications

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“…Beside the requirements Bai et al introduced a contextual adaptive knowledge visualization model [BWS11a], which was renamed to the contextual adaptive visualization environment framework [BWS12] and included three main components, the problem context, purpose context, and knowledge worker context. The problem context refers to the given problem (task) and possible solutions, which contain beside other problem situation, knowledge types, visualization and knowledge tasks, time and so forth.…”

Section: Visual Layout Adaptationmentioning

confidence: 99%

“…The problem context refers to the given problem (task) and possible solutions, which contain beside other problem situation, knowledge types, visualization and knowledge tasks, time and so forth. In the application layer the problem context is described with problem data, problem model, problem solver, and problem scenarios that enable processing and managing the identified problems [BWS11a]. Thereby the problem solver is responsible for the data and the problem model responsible for changes in the visualizations and enables users to react to identified changes.…”

Section: Visual Layout Adaptationmentioning

confidence: 99%

“…domain related purposes, knowledge worker purposes, task related purposes, and so forth [BWS12]. In the application layer the visualization context and component manager refers to the purpose context and is responsible for the creation of visualization with the components visualization data, visualization models, visualization solvers, and visualization scenarios [BWS11a]. The knowledge worker context refers to the user (knowledge worker) and the related attributes, such as type, profile, or ability [BWS12].…”

Section: Visual Layout Adaptationmentioning

confidence: 99%

“…The knowledge worker context refers to the user (knowledge worker) and the related attributes, such as type, profile, or ability [BWS12]. In the application layer the knowledge worker context and adaptation manager is responsible for the communication between the two introduced components and further enables the interfacing between user and the three components [BWS11a]. .…”

Section: Visual Layout Adaptationmentioning

confidence: 99%

“…CAVE proposes some interesting approaches in particular for describing the contextual problems. The implementation of the system [BWS11a,S. 192f] demonstrated the adaptivity of the system by the ability of the user to perceive a problem form different perspectives with various visualization layouts.…”

Section: Visual Layout Adaptationmentioning

confidence: 99%

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Adaptive Semantics Visualization

Nazemi¹

2016

Studies in Computational Intelligence

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Human access to the increasing amount of information and data plays an essential role for the professional level and also for everyday life. While information visualization has developed new and remarkable ways for visualizing data and enabling the exploration process, adaptive systems focus on users' behavior to tailor information for supporting the information acquisition process. Recent research on adaptive visualization shows promising ways of synthesizing these two complementary approaches and make use of the surpluses of both disciplines. The emerged methods and systems aim to increase the performance, acceptance, and user experience of graphical data representations for a broad range of users. Although the evaluation results of the recently proposed systems are promising, some important aspects of information visualization are not considered in the adaptation process. The visual adaptation is commonly limited to change either visual parameters or replace visualizations entirely. Further, no existing approach adapts the visualization based on data and user characteristics. Other limitations of existing approaches include the fact that the visualizations require training by experts in the field. VII VIIIFinally, I thank my loved ones -my wife Mariam, my son Kian, my brothers and parents for their unlimited support, love, and patience.

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Section: Visual Layout Adaptationmentioning

confidence: 99%

Section: Visual Layout Adaptationmentioning

confidence: 99%

Section: Visual Layout Adaptationmentioning

confidence: 99%

Section: Visual Layout Adaptationmentioning

confidence: 99%

Section: Visual Layout Adaptationmentioning

confidence: 99%

See 3 more Smart Citations

Adaptive Semantics Visualization

Nazemi¹

2016

Studies in Computational Intelligence

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Human Factors in User Modeling for Intelligent Systems

Pera,

Cena,

Landoni

et al. 2024

Human–Computer Interaction Series

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Real World User Model: Evolution of User Modeling Triggered by Advances in Wearable and Ubiquitous Computing

2018

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Over the last few years, user modeling scenery is changing. With the recent advancements in ubiquitous and wearables technologies, the amount and type of data that can be gathered about users and used to build user models is expanding. User Model can now be enriched with data regarding different aspects of people's everyday lives. All these changes bring forth new research questions about the kinds of services which could be provided, the ways for effectively conveying new forms of personalisation and recommendation, and how traditional user modeling should change to exploit ubiquitous and wearable technology to provide these services. In this paper we follow the evolution of user modeling process, starting from the traditional User Model and progressing to RWUM -Real World User Model, which contains data from a person's everyday life. We tried to answer the above questions and to present a conceptual framework that represents the RWUM process, which might be used as a reference model for designing RWUM-based systems. Finally, we propose some inspiring usage scenarios and design directions that can guide researchers in designing novel, robust and versatile services based on RWUM.

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Adaptive Knowledge Visualization Systems: A Proposal and Implementation

Cited by 3 publications

References 15 publications

Adaptive Semantics Visualization

Adaptive Semantics Visualization

Human Factors in User Modeling for Intelligent Systems

Real World User Model: Evolution of User Modeling Triggered by Advances in Wearable and Ubiquitous Computing

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