Negative Emotions, Positive Outcomes? Exploring the Communication of Negativity in Serious Data Stories

Data StorytellingVisualization Perception & CognitionData Scientists & AnalystsHCI Researchers

Title of the Paper

Negative Emotions, Positive Outcomes? Exploring the Communication of Negativity in Serious Data Stories

Paper Information

  • Research Domain: Emotional Design and Data Storytelling
  • Keywords: Data storytelling, negative emotions, serious topics, interaction design, emotional experience, long-term memory, data visualization, design methods, user engagement, user experience

Research Background and Questions

  • What problems or challenges did the authors identify?
    Existing studies, while focusing on emotional experiences in data storytelling, overly emphasize positive emotions (e.g., fun and empathy) and lack exploration of the value of negative emotions.
  • Why is this issue important?
    Negative emotions can help trigger reflective experiences, enhance long-term memory, and enrich storytelling, especially when communicating serious topics such as health, environment, and social injustice.
  • Research Motivation and Related Work:
    The value of negative emotions has been partially validated in music, film, and digital games, but systematic research on negative emotions in the field of data storytelling remains absent. This study aims to explore the role and design approaches of negative emotions in serious data stories.

Solution

  • What methods or solutions did the authors propose?
    The authors designed and conducted two studies: an expert workshop and a user experiment.
    • The expert workshop collected 72 serious data stories and summarized three main benefits of negative emotions and 19 potential design methods.
    • The user experiment further validated the effectiveness of these design methods and the specific effects of negative emotions.
  • What is innovative about this solution?
    By systematically combining the perspectives of both data story creators and audiences, the study explores the advantages of negative emotions and the practical effects of design techniques, providing analysis at the level of long-term memory.
  • What are the implementation steps and key techniques used?
    1. Organize an expert workshop to collect data story samples and expert opinions.
    2. Categorize design methods, including sensory stimulation (e.g., black backgrounds, dense textures), real-world scenario association (e.g., detailed presentation), linguistic impact, and six other design strategies.
    3. Conduct user experiments to evaluate emotional responses (48 types of emotions) in terms of variety and intensity, and analyze audience recall and feedback.
    4. Use social network analysis to visualize the relationship network between design methods and negative emotions.

Research Results

  • What specific results were achieved?
    1. Negative emotions primarily triggered reflective experiences (e.g., reflecting on social issues and personal behavior) and long-term memory.
    2. Design methods for data stories showed varying degrees of effectiveness—methods such as "challenging tasks" and "role-playing games" were most effective, while "dark backgrounds" and "visual metaphors" were less impactful.
  • What advantages does it have compared to existing solutions?
    • Demonstrates the unique value of negative emotions in enhancing memory depth and reflective experiences, expanding traditional evaluation criteria for data storytelling.
    • Clarifies the direct relationship between design methods and user experience, providing empirical evidence for future design.
  • What were the experimental or evaluation results?
    • Negative emotions showed significant benefits, particularly in relation to reflective experiences (τ = .443, p < .001), emotional memory, and emotional care (e.g., empathy).
    • In users' long-term memory, negative emotions were more dominant than positive emotions (significantly higher recall ratio: U = 3948, p = .004).
  • Limitations and Future Directions
    • The sample of data stories and design methods may not be comprehensive, and more samples could be included.
    • The educational background and experience range of participants were relatively narrow; broader user groups are needed to validate experimental results.
    • Further exploration is needed to understand the causal mechanisms of how design methods influence emotional responses and to reveal how to balance negative emotions with overall user experience.

Summary and Contributions

By combining the perspectives of creators and users, the authors systematically studied the unique role of negative emotions in serious data stories, summarizing their benefits, potential design methods, and audience reactions. This work provides important insights for innovative data storytelling design and user experience research, emphasizing the importance of emotional experiences and proposing ways to balance emotion and effective data communication through design strategies.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/chi/71973/2022

AdRecommended

Learn AI Coding at CodeNow

open_in_newOpen DOI Link
DOI: https://dl.acm.org/doi/abs/10.1145/3491102.3517530
At a Glance

Paper Snapshot

fact_check
dataset
Source
CHI
calendar_month
Year
2022
emoji_events
Award
No award tagged
group
Authors
5 authors
sell
Subtopics
Data Storytelling, Visualization Perception & Cognition
work
Professions
Data Scientists & Analysts, HCI Researchers
article
Content Status
Full text indexed
hub
Related Papers
10 related papers