Vizualink: Evaluating Usability and Loyalty Impacts of Text-Graph Integration in Data-Driven Articles

Keywords

Vizualink, Text-Graph Integration, Data-Driven Articles, Interactive Systems

Abstract

Data-driven articles have emerged as a powerful method for transforming complex datasets into accessible narratives. Existing approaches, such as interactive visualizations and scrollytelling, enhance engagement and simplify complexity by guiding users through data stories. \rvis{However, these designs often prioritize narrative structure over reader-driven exploration, which may limit opportunities for autonomous interaction.} To address this limitation, existing literature explored features that dynamically link textual content to corresponding elements in interactive graphs. In this study, we investigate the impact of such tools on the reading experience, specifically the hedonic and pragmatic dimensions, in addition to loyalty intentions. We implemented Vizualink, a text-graph linking feature, and examined its impact through an online study with 360 participants. Our results indicate that Vizualink enhances the reading experience, which in turn positively impacts readers' intention to return for more content, recommend the article, and consider paying for access. A thematic analysis of participant comments highlighted enhanced interactivity and criticism regarding potential hindrances to user experience.