Robinhood's Forest: An Idle Game to Improve Investor Behavior

Title of the Paper

Robinhood’s Forest: A Persuasive Idle Game to Improve Investing Behavior

Paper Information

• Subject Areas: Interactive Design, Human-Computer Interaction, Behavioral Finance
• Authors: Sayan Chaudhry, Chinmay Kulkarni
• Conference: 2022 International Conference on Intelligent User Interfaces (IUI '22)
• DOI: 10.1145/3490099.3511114
• Keywords: Idle games, investing behavior, behavioral finance, user interface design, long-term investing, diversification, visual metaphors, interaction design, persuasive technology, non-interactive design

Research Background and Problem

• Problems and Challenges:
  • Smartphone investment apps (e.g., Robinhood) provide non-professional investors with convenient, low-cost (even commission-free) trading channels, but this convenience often leads to numerous poor investment decisions.
  • Non-professional investors are primarily driven by behavioral factors, including:
    1. High-frequency short-term trading.
    2. Emotion-driven rather than rational investment decisions.
    3. Insufficient portfolio diversification, leading to high-risk exposure.
  • These behavioral factors reduce long-term returns and sometimes result in severe financial losses.
• Significance:
  • Regulating these behavioral triggers can promote better investment decisions, thereby improving the financial well-being of retail investors.
  • Existing app designs often further encourage irrational investment behavior, such as inducing short-term speculation through "gamified" interfaces.
• Research Motivation:
  • To address these pain points, the tool "Robinhood’s Forest" is proposed. It aims to help change investors' behavioral habits through the interactive mechanisms of "idle games" and motivation-related design strategies.

Solution

• Core Method/Solution:
  • Designed and implemented "Robinhood’s Forest," an interactive web application based on the concept of idle games. It encourages long-term investing and highly diversified portfolios by limiting users' frequent portfolio operations.
  • Abstracted the visual representation of stock investments into a dynamic forest scene:
    • Each stock is represented by a tree; when a stock rises, the tree grows, and when it falls, the tree withers.
    • When users sell a stock, the corresponding "tree" turns into a stump, reminding users to avoid frequent trading.
• Innovations:
  • A unique "waiting-as-play" idle game mechanism that maximizes long-term investment returns by reducing user interaction and automating responses.
  • Leveraging visual metaphors (forest and trees) to reduce users' overreaction to short-term market fluctuations, promoting stability in investment strategies.
  • Encouraging investors to achieve portfolio diversification ("planting multiple trees" across industries) to reduce risks.
• Implementation Steps:
  • Robinhood’s Forest was implemented using the React framework, with data retrieved from Google Sheets' Finance API.
  • Supported features include portfolio visualization, stock holding period display, and dynamic tree growth visualization.
  • Implicit reminders to limit short-term decisions: buying and selling actions are constrained by interface elements like stumps and spatial limitations.

Research Outcomes

• Specific Results:
  • Two small-scale experiments demonstrated:
    1. Robinhood’s Forest successfully helped users reduce frequent trading and extend holding periods.
    2. Participants exhibited a tendency to increase portfolio diversification during the experiments.
  • Users showed acceptance of the forest metaphor interface and expressed a desire for additional data (e.g., stock performance visualization).
• Advantages Compared to Existing Solutions:
  • Unlike popular high-frequency trading interfaces, Robinhood’s Forest focuses on improving returns by restricting behaviors.
  • The idle game approach reduces the psychological pressure of traditional interactive interfaces, significantly lowering the occurrence of reactance.
• Experiment and Evaluation Results:
  • Proof-of-concept experiment: When using the abstract forest interface, participants' trading frequency decreased from an average of 3.8 times every 5 months to 1.8 times.
  • Core user study: Participants were generally more willing to extend holding periods and exhibited more diversified portfolio behaviors. Additionally, the tree metaphor was regarded as an interesting interface design, though it sometimes caused misunderstandings (e.g., associating tree growth with price changes).
• Limitations and Future Directions:
  • Limitations:
    • Current experiments were limited by small sample sizes and did not cover a more diverse demographic.
    • Although the proof-of-concept simulated 5 months of investment behavior, it did not validate real-world performance over extended periods.
  • Future Research:
    1. Expand the study scale and test long-term usage effects, particularly in large-scale participant experiments involving investment return data.
    2. Introduce richer social gaming interaction elements and explore how to transform meaningless gameplay into learning objectives.
    3. Investigate the potential benefits of adding non-investment-related interactions (e.g., visual decorations) as alternatives to avoid potential compulsive behaviors.

Conclusion

• This study demonstrates the feasibility of changing investment behavior through idle games and visual metaphors.
• Robinhood’s Forest provides a new design paradigm for persuasive user interfaces, introducing "non-interactive" elements to influence user decision-making behavior.
• This approach has the potential to be applied to broader behavior regulation scenarios, such as social media consumption or gambling control management.