Hooked on Data Videos: Assessing the Effect of Animation and Pictographs on Viewer Engagement

被引:42
作者
Amini, Fereshteh [1 ]
Riche, Nathalie Henry [2 ]
Lee, Bongshin [2 ]
Leboe-McGowan, Jason [1 ]
Irani, Pourang [1 ]
机构
[1] Univ Manitoba, Winnipeg, MB, Canada
[2] Microsoft Res, Redmond, WA USA
来源
AVI'18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ADVANCED VISUAL INTERFACES | 2018年
基金
加拿大自然科学与工程研究理事会;
关键词
Information Visualization; Narrative Visualization; Data Video; Animated Infographic; Animation; Pictograph; Engagement; VISUAL EMBELLISHMENTS; FRAMEWORK;
D O I
10.1145/3206505.3206552
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Pictographic representations and animation techniques are commonly incorporated into narrative visualizations such as data videos. General belief is that these techniques may enhance the viewer experience, thus appealing to a broad audience and enticing the viewer to consume the entire video. However, no study has formally assessed the effect of these techniques on data insight communication and viewer engagement. In this paper, we first propose a scale-based questionnaire covering five factors of viewer engagement we identified from multiple application domains such as game design and marketing. We then validate this questionnaire through a crowdsourcing study on Amazon's Mechanical Turk to assess the effect of animation and pictographs in data videos. Our results reveal that each technique has an effect on viewer engagement, impacting different factors. In addition, insights from these studies lead to design considerations for authoring engaging data videos.
引用
收藏
页数:9
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