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How Interactive Data Visualization and Users' BMI (Body Mass Index) Influence Obesity Prevention Intentions: The
Jeeyun Oh1, Angel Hsing-Chi Hwang2, Hayoung Sally Lim1
1The Stan Richards School of Advertising & Public Relations, The University of Texas at Austin, 78712, Austin, TX, USA.
Abstract:
The current study examines how interactive data visualization can augment the persuasive potential of health information. In an experiment using an obesity-awareness website (N = 248), we manipulated the level of interactivity in a data visualization tool that featured obesity prevalence in the U.S. and measured participants' absorption into the website, perceived issue severity, content perceptions, and intentions to prevent/treat obesity. Our data demonstrated that lower BMI participants reported greater cognitive absorption when highly interactive data visualization was available on the website. Subsequently, greater cognitive absorption into the website led to higher perceived issue severity, greater content perceptions, and higher obesity prevention intentions among lower BMI participants but not among higher BMI participants.
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