Does Background Music Matter in Data Videos? A Study of Music's Impact on Persuasion, Engagement, and Recall

要旨

Data videos combine visualization, animation, narration, and often background music to tell stories with data. While music is widely believed to enhance emotion and persuasion, its impact in data videos remains unexplored. We conducted a preregistered between-subjects experiment comparing six widely-viewed data videos with or without background music. Using Bayesian modeling and thematic analysis, we did not observe consistent measurable effects of background music on persuasion, engagement, or information recall. Qualitative responses revealed a more nuanced picture: some participants described the music as distracting or mismatched, while others reported that it enhanced enjoyment, supported focus, or strengthened emotional resonance when well aligned with the video's tone. These findings suggest that the influence of background music in data videos is highly context-dependent, shaped by genre, familiarity, and its alignment with visual–narrative structure. We discuss possible reasons for the limited measurable effects observed in real-world videos and outline opportunities for future work on purpose-designed, incidental, or adaptive music for data-driven storytelling.

著者
Hessam Djavaherpour
Independent Researcher, Philadelphia, Pennsylvania, United States
Leni Yang
Inria, CNRS, University of Bordeaux, Bordeaux, France
Yvonne Jansen
CNRS, Inria, Univ. Bordeaux, LaBRI, Bordeaux, France
Pierre Dragicevic
Inria, CNRS, Univ. Bordeaux, Bordeaux, France
Narges Mahyar
City St George’s, University of London, London, United Kingdom
Mahmood Jasim
Louisiana State University, Baton Rouge, Louisiana, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Data Visualization Designs and Tools

P1 - Room 117
7 件の発表
2026-04-17 20:15:00
2026-04-17 21:45:00