Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
Adding intelligence to scientific data management
Computers in Physics
A Methodology for Choosing Data Representations
IEEE Computer Graphics and Applications
Proceedings of the IEEE Visualization '93 Workshop on Database Issues for Data Visualization
Proceedings of the IEEE Visualization '93 Workshop on Database Issues for Data Visualization
The importance of models in marking complex
Selected papers of the 8th Interdisciplinary Workshop on Informatics and Psychology: Mental Models and Human-Computer Interaction 2
A problem-oriented classification of visualization techniques
VIS '90 Proceedings of the 1st conference on Visualization '90
Shape coding of multidimensional data on a microcomputer display
VIS '90 Proceedings of the 1st conference on Visualization '90
VIS '91 Proceedings of the 2nd conference on Visualization '91
Task-specific visualization design: a case study in operational weather forecasting
Proceedings of the conference on Visualization '98
Task-Specific Visualization Design
IEEE Computer Graphics and Applications
Defining visualization operations for temporal cartographic animation design
International Journal of Applied Earth Observation and Geoinformation
Accounting for individual differences through GAMES: guided adaptive multimedia editing system
CHI EA '97 CHI '97 Extended Abstracts on Human Factors in Computing Systems
White rooms and morphing don't mix: setting and the evaluation of visualization techniques
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Developing effective navigation techniques in virtual 3D environments
EG VE'00 Proceedings of the 6th Eurographics conference on Virtual Environments
| Hi-index | 0.00 |
Meaningful scientific visualizations benefit the interpretation of scientific data, concepts and processes. To ensure meaningful visualizations, the visualization system needs to adapt to desires, disabilities and abilities of the user, interpretation aim, resources (hardware, software) available, and the form and content of the data to be visualized. We suggest to describe these characteristics by four models: user model, problem domain/task model, resource model and data model. This paper makes suggestions for the generation of a user model as a basis for an adaptive visualization system.We propose to extract information about the user by involving the user in interactive computer tests and games. Relevant abilities tested are color preception, color memory, color ranking, mental rotation, and fine motor coordination.