Towards Design Guidelines for Effective Health-Related Data Videos: An Empirical Investigation of Affect, Personality, and Video Content
Samar Sallam, Yumiko Sakamoto, Jason Leboe-McGowan, Celine Latulipe, Pourang Irani
摘要
Data Videos (DVs), or animated infographics that tell stories with data, are becoming increasingly popular. Despite their potential to induce attitude change, little is explored about how to produce effective DVs. This paper describes two studies that explored factors linked to the potential of health DVs to improve viewers’ behavioural change intentions. We investigated: 1) how viewers’ affect is linked to their behavioural change intentions; 2) how these affect are linked to the viewers’ personality traits; 3) which attributes of DVs are linked to their persuasive potential. Results from both studies indicated that viewers’ negative affect lowered their behavioural change intentions. Individuals with higher neuroticism exhibited higher negative affect and were harder to convince. Finally, Study 2 proved that providing any solutions to the health problem, presented in the DV, made the viewers perceive the videos as more actionable while lowering their negative affect, and importantly, induced higher behavioural change intentions.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper5
- Affective Visualization Design: Leveraging the Emotional Impact of DataXingyu Lan, Yanqiu Wu, Nan CaoIEEE VIS 2023 · 被引用 75 次
- Transitioning to a Commercial Dashboarding System: Socio-Technical Observations and OpportunitiesConny Walchshofer, Vaishali Dhanoa, Marc Streit, Miriah MeyerIEEE VIS 2023 · 被引用 15 次
- From Shock to Shift: Data Visualization for Constructive Climate JournalismFrancesca Morini, Anna Eschenbacher, Johanna Hartmann, Marian DörkIEEE VIS 2023 · 被引用 13 次
- Reflecting on Design Paradigms of Animated Data Video ToolsLeixian Shen, Haotian Li, Yun Wang, Huamin QuCHI 2025 · 被引用 10 次
- Does Background Music Matter in Data Videos? A Study of Music's Impact on Persuasion, Engagement, and RecallHessam Djavaherpour, Leni Yang, Yvonne Jansen, Pierre Dragicevic 等CHI 2026 · 被引用 1 次
它引用的顶会 Paper1
相关 Paper
- Kineticharts: Augmenting Affective Expressiveness of Charts in Data Stories with Animation DesignXingyu Lan, Yang Shi, Yanqiu Wu, Xiaohan Jiao 等IEEE VIS 2021 · 被引用 61 次
- Communicating with Motion: A Design Space for Animated Visual Narratives in Data VideosYang Shi, Xingyu Lan, Jingwen Li, Zhaorui Li 等CHI 2021 · 被引用 59 次
- When do data visualizations persuade? The impact of prior attitudes on learning about correlations from scatterplot visualizationsDouglas Markant, Milad Rogha, Alireza Karduni, Ryan Wesslen 等CHI 2023 · 被引用 16 次
- Pushing the (Visual) Narrative: The Effects of Prior Knowledge Elicitation in Provocative TopicsJeremy Heyer, Nirmal Kumar Raveendranath, Khairi RedaCHI 2020 · 被引用 28 次
- From 'Wow' to 'Why': Guidelines for Creating the Opening of a Data Video with Cinematic StylesXian Xu, Leni Yang, David Kei-Man Yip, Mingming Fan 等CHI 2022 · 被引用 24 次
