Graphical data displays and database queries: helping users select the right display for the task

Authors:
Beate Grawemeyer;Richard Cox
Affiliations:
Representation & Cognition Group, Department of Informatics, University of Sussex, Falmer, Brighton, UK;Representation & Cognition Group, Department of Informatics, University of Sussex, Falmer, Brighton, UK
Venue:
SG'05 Proceedings of the 5th international conference on Smart Graphics
Year:
2005

Citing 6
Cited 1

Automating the design of graphical presentations of relational information

ACM Transactions on Graphics (TOG)
Probabilistic reasoning in intelligent systems: networks of plausible inference

Probabilistic reasoning in intelligent systems: networks of plausible inference
Interactive graphic design using automatic presentation knowledge

CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Creating an empirical basis for adaptation decisions

Proceedings of the 5th international conference on Intelligent user interfaces
Machine Learning

Machine Learning
A bayesian approach to modelling users' information display preferences

UM'05 Proceedings of the 10th international conference on User Modeling

Evaluation of ERST – an external representation selection tutor

Diagrams'06 Proceedings of the 4th international conference on Diagrammatic Representation and Inference

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes the process by which we have constructed an adaptive system for external representation (ER) selection support, designed to enhance users' ER reasoning performance. We describe how our user model has been constructed – it is a Bayesian network with values seeded from data derived from experimental studies. The studies examined the effects of users' background knowledge-of-external representations (KER) upon performance and their preferences for particular information display forms across a range of database query types.