Quick-View Takeaways: How Does Title Framing Influences Pattern Identification in Line Charts?
TL;DR
This study examines how title characteristics, particularly title word count and intended message, influence people's pattern identification in single-class line charts.
Abstract
Visual data communication in digital media is increasingly characterized by short attention spans and snapshot-based viewing, often employing line charts to convey trends and patterns. Among all visual elements, titles are crucial ones that can shape how viewers interpret visual information and form chart takeaways. In this study, we examine how title characteristics, particularly title word count and intended message, influence people's pattern identification in single-class line charts. Participants viewed 50 line charts collected from online news media and identified the pattern they perceived. Our results demonstrate that both title word count and intended message significantly influence viewers'pattern identification. Our findings highlight the importance of title design in shaping chart takeaways and effective visualization communication.
