Communicative Signals as the Key to Automated Understanding of Simple Bar Charts

This paper discusses the types of communicative signals that frequently appear in simple bar charts and how we exploit them as evidence in our system for inferring the intended message of an information graphic. Through a series of examples, we demonstrate the impact that various types of communicative signals, namely salience, captions and estimated perceptual task effort, have on the intended message inferred by our implemented system.

• Type: Conference
• Year: 2006
• Where: DIAGRAMS
• Authors: Stephanie Elzer, Sandra Carberry, Seniz Demir
• Keywords: Artificial Intelligence, Communicative Signals, DIAGRAMS 2006, Intended Message, Simple Bar Charts