What Players Want: Information Needs of Players on Post-GameVisualizations

Title of the Paper

"What Do Players Need: Information Needs in Post-Game Visualizations"

Paper Information

• Subject Area: Game Data Visualization and User Research
• Keywords: Games, Players, Game Visualization, Information Needs, Skill Improvement, Post-Game Data Analysis, Competitive Games, User Experience, Training Visualization, Data-Driven Analysis

Research Background and Problem

• What problems or challenges did the authors identify?

  • With the rise of competitive online games and esports, players need to reflect on and improve their performance by reviewing game data and visualizations.
  • Despite the growing attention to in-game data visualization, there is very limited design research addressing the core needs of players.
  • Current game data visualizations are primarily designed for developers, neglecting players as a critical user group.

• Why is this problem important?

  • Without a deep understanding of user needs, player-focused visualization designs may fail to effectively support skill improvement and game comprehension.
  • Systematic understanding of player needs can optimize user experience, enhance skill development, and aid in the design of better in-game user interfaces and developer analysis tools.

• Research Motivation and Related Work

  • This study aims to fill this research gap by exploring players' information needs in post-game data visualizations and the goals behind these needs, providing guidance for future designs.
  • It focuses on three popular types of competitive games: Real-Time Strategy (RTS), Multiplayer Online Battle Arena (MOBA), and Battle Royale (BR).

Solution

• What methods or solutions did the authors propose?

  • A mixed-methods approach combining semi-structured interviews and online surveys.
  • The study explores:
    • Players' goals for using post-game visualizations (e.g., learning, reflection).
    • Key information relied upon for decision-making.
    • Content that should be included in post-game visualizations.

• What is innovative about this solution?

  • Combines qualitative and quantitative methods, using interviews to deeply explore player needs and surveys to quantify the prevalence and importance of these needs.
  • Conducts detailed comparisons across different game types, revealing differences in information needs among players of various genres.
  • Proposes high-level design principles and guidelines for future visualization designs.

• What are the implementation steps and key techniques used?

  1. Semi-Structured Interviews (N = 16):
     • Recruited players with varying levels of experience.
     • Analyzed interview content to identify themes and high-level needs.
  2. Online Survey (N = 264):
     • Conducted a questionnaire survey with a larger sample of players.
     • Used Likert scales to evaluate the importance of themes derived from interviews.
     • Applied non-parametric tests (e.g., Kruskal-Wallis analysis) to statistically examine data across different game types.

Research Findings

• What specific findings were achieved?

  1. Player Goals (Why players use visualizations):
     • Learning and skill improvement are primary goals, including learning from other players' performances, understanding personal mistakes, and grasping game dynamics.
     • Enhancing efficiency, particularly in resource allocation and movement path selection.
     • Predicting and countering opponents' actions to reduce predictability.
  2. Key Information Needs:
     • Positional and movement information is the most critical across all genres.
     • Significant differences in needs by game type, e.g., RTS players prioritize resource and building information, while MOBA players focus on character levels and equipment.
  3. Visualization Content:
     • High-level concepts (e.g., map control, combat influence) are valued more than simple statistics (e.g., kill counts, scores).
     • Players of different game genres have varying preferences for the granularity of visualization data.
  4. Data Credibility:
     • Players' concern for data credibility highlights the need for system designs to ensure data accuracy and interpretability.

• What advantages does this solution have compared to existing ones?

  • Directly addresses players, providing a comprehensive list of cross-genre information needs as practical references for visualization design.
  • Emphasizes the integration of low-level data with high-level analysis to better serve players' learning objectives.

• What were the experimental or evaluation results?

  • Significant differences were observed in the goals and information needs of players across the three game genres for post-game visualizations.
  • Users expressed strong agreement on the importance of visualizing "high-level concepts," emphasizing the value of abstracted and summarized data.

• Limitations and Future Directions

  • Limitations:
    • The study only covers a limited range of game genres, excluding other popular types such as first-person shooters.
    • Assumes that the needs of players from the three game genres are representative of all competitive game players, which may not be entirely accurate.
  • Future Directions:
    • Extend research to include more game genres and user groups (e.g., spectators, analysts).
    • Further investigate the specific motivations behind user preferences and develop new visualization tools tailored for skill improvement.
    • Design and evaluate visualization tools that support long-term learning, conducting longitudinal experimental studies.

Output Format Improvements and Optimization

• The findings of this paper provide detailed theoretical and practical guidelines for post-game visualization design, particularly for researchers and developers designing training tools.
• Future research should build on this work, integrating human-computer interaction studies and visualization best practices to further enhance player experience and learning outcomes.