Negative Emotions, Positive Outcomes? Exploring the Communication of Negativity in Serious Data Stories
Xingyu Lan, Yanqiu Wu, Yang Shi, Qing Chen, Nan Cao
摘要
Recent work has highlighted that emotion is key to the user experience with data stories. However, limited attention has been paid to negative emotions specifically. This work investigates the outcomes of negative emotions in the context of serious data stories and examines how they can be augmented by design methods from the perspectives of both storytellers and viewers. First, we conducted a workshop with 9 data story experts to understand the possible benefits of eliciting negative emotions in serious data stories and 19 potential design methods that contribute to negative emotions. Based on the findings from the workshop, we then conducted a lab study with 35 participants to explore the outcomes of eliciting negative emotions as well as the effectiveness of the design methods. The results indicated that negative emotions mainly facilitated contemplative experiences and long-term memory. Besides, the design methods showed varied effectiveness in augmenting negative emotions and being recalled.
• Human-centered computing → Visualization design and evaluation methods.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,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 Paper15
- Affective Visualization Design: Leveraging the Emotional Impact of DataXingyu Lan, Yanqiu Wu, Nan CaoIEEE VIS 2023 · 被引用 75 次
- Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension?Hongbo Shao, Roberto Martínez Maldonado, Vanessa Echeverría, Lixiang Yan 等CHI 2024 · 被引用 43 次
- GeoCamera: Telling Stories in Geographic Visualizations with Camera MovementsWenchao Li, Zhan Wang, Yun Wang, Di Weng 等CHI 2023 · 被引用 30 次
- Breaking the Fourth Wall of Data Stories through InteractionYang Shi, Tian Gao, Xiaohan Jiao, Nan CaoIEEE VIS 2022 · 被引用 25 次
- Dispersion vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social OutcomesEli Holder, Cindy XiongIEEE VIS 2022 · 被引用 22 次
它引用的顶会 Paper11
- Engaging Teachers to Co-Design Integrated AI Curriculum for K-12 ClassroomsPhoebe Lin, Jessica Van BrummelenCHI 2021 · 被引用 188 次
- Calliope: Automatic Visual Data Story Generation from a SpreadsheetDanqing Shi, Xinyue Xu, Fuling Sun, Yang Shi 等IEEE VIS 2020 · 被引用 179 次
- A Design Space for Applying the Freytag's Pyramid Structure to Data StoriesLeni Yang, Xian Xu, Xingyu Lan, Ziyan Liu 等IEEE VIS 2021 · 被引用 77 次
- 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
相关 Paper
- Quantifying Emotional Responses to Immutable Data Characteristics and Designer Choices in Data VisualizationsCarter Blair, Xiyao Wang, Charles PerinIEEE VIS 2024 · 被引用 5 次
- Affective Color Scales for Colormap Data VisualizationsHalle C. Braun, Kushin Mukherjee, Seth R. Gorelik, Karen B. SchlossIEEE VIS 2025 · 被引用 1 次
- Exploring Student Feedback Needs and Design Opportunities in Data Storytelling EducationJennifer Posada, Taha Hassan, Lujie Karen Chen, Louise Yarnall 等CHI 2026 · 被引用 2 次
- "Mapping What I Feel": Understanding Affective Geovisualization Design Through the Lens of People-Place RelationshipsXingyu Lan, Yutong Yang, Yifan WangIEEE VIS 2025 · 被引用 1 次
- Autospeculation: Reflecting on the Intimate and Imaginative Capacities of Data AnalysisBrian Kinnee, Audrey Desjardins, Daniela K. RosnerCHI 2023 · 被引用 15 次
