Estimating Effort for Trend Messages in Grouped Bar Charts

Abstract. Information graphics found in popular media contain communicative signals which help the viewer infer the graphic designer's intended message. One signal is the relative effort required for different recognition tasks. This paper presents a model of the effort required to recognize a trend in a grouped bar chart. The model is developed using the ACT-R cognitive framework and validated via eye tracking experiments.

• Type: Conference
• Year: 2008
• Where: DIAGRAMS
• Authors: Richard Burns, Stephanie Elzer, Sandra Carberry
• Keywords: ACT-R Cognitive Framework, Artificial Intelligence, Designer's Intended Message, DIAGRAMS 2008, Grouped Bar Chart