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

Beate Grawemeyer; Richard Cox

doi:10.1007/11536482_5

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

Beate Grawemeyer, Richard Cox

University of Sussex

Research output: Contribution to journal › Conference article › peer-review

3 Citations (Scopus)

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.

Original language	English
Pages (from-to)	53-64
Number of pages	12
Journal	Lecture Notes in Computer Science
Volume	3638
DOIs	https://doi.org/10.1007/11536482_5
Publication status	Published - 1 Jan 2005
Externally published	Yes
Event	5th International Symposium on Smart Graphics, SG 2005 - Frauenworth Cloister, Germany Duration: 22 Aug 2005 → 24 Aug 2005

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1007/11536482_5

Cite this

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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.",

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AB - 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.

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

Abstract

ASJC Scopus subject areas

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