Barriers to Expertise in Citizen Science Games

Title of the Paper

Barriers to Expertise in Citizen Science Games

Paper Information

• Subject Area: Acquisition of Expertise and Its Barriers in Citizen Science Games
• Keywords: Citizen Science Games, Expertise, Game Design, Thematic Analysis, User Experience

Research Background and Problem Statement

• What issues or challenges did the authors identify?

  • Citizen science games, particularly ECCSGs (Expertise-centric Citizen Science Games) that focus on expertise, are powerful tools for advancing science. However, these games require players to be trained as domain experts, which is highly challenging in practice.
  • A significant issue with ECCSGs is the unclear and obstructed pathways for players to develop knowledge and skills, which may hinder long-term public engagement with the games.

• Why is this problem important?

  • The success of ECCSGs can accelerate the resolution of complex scientific problems, generate high-quality data, and promote knowledge sharing. If these barriers are not addressed, it could not only limit scientific progress but also erode public trust in citizen science, ultimately impacting the overall development of the field.

• Research Motivation and Related Work

  • Existing literature has explored player experience and motivation in citizen science games to some extent, but there is a lack of systematic investigation into the pathways and barriers to expertise development.
  • A deeper understanding of the recruitment and retention of ECCSG players is crucial for the sustainability of public engagement in science and knowledge production.

Proposed Solutions

• What methods or solutions did the authors propose?

  • The authors conducted interviews with players of three ECCSGs (Foldit, Eterna, Eyewire) and used reflexive thematic analysis to construct a model of expertise development and identify three major barriers to expertise acquisition.
  • They provided specific recommendations for ECCSG developers, including improvements in tutorial design, game design, user interface, and scientific communication.

• What is innovative about this solution?

  • The study proposed a cyclical model of expertise development, incorporating Exploratory Learning and Social Learning.
  • It systematically analyzed key barriers: Missing Instruction, Missing Polish, and Missing Communication.
  • Practical recommendations were offered, integrating principles from learning sciences and game design.

• What are the implementation steps? What key techniques were used?

  • Reflexive Thematic Analysis was employed to generate themes and models based on interview data.
  • Theoretical support and design improvement suggestions were provided, drawing on learning sciences and game design theories (e.g., Cognitive Load Theory, step-by-step task design).

Research Findings

• What specific results were achieved?

  • A comprehensive pathway model for ECCSG player expertise development was constructed, identifying three major barriers:
    1. Missing Instruction: Lack of clear goals, task feedback, and teaching of critical learning content.
    2. Missing Polish: Complex user interfaces, technical issues, and unclear core gameplay.
    3. Missing Communication: Barriers due to scientific jargon, lack of community content, and insufficient interaction between developers and players.
  • The study clarified the requirements for knowledge dissemination in ECCSGs and proposed directions for improvement.

• How does it compare to existing solutions?

  • Compared to existing literature, this study provides a more detailed understanding of the learning pathways and barriers in ECCSGs, enriching the perspective of games as learning environments.
  • It offers actionable design principles and development suggestions, such as increasing the frequency of scientific communication and tailoring tutorial content to diverse player needs.

• What are the experimental or evaluation results?

  • Through interviews, the study found that players need to go through a cyclical pathway of exploratory and social learning to achieve expert-level knowledge, but current games provide insufficient support for these processes.
  • Players frequently reported that inaccessible academic jargon, overly complex tutorials, and a lack of community content hindered their participation.

• Limitations and Future Directions

  • Limitations:
    • The sample size was small and biased, with the majority of interviews conducted with Foldit players.
    • The proposed model is primarily tailored to ECCSGs and may not be generalizable to other types of citizen science games.
  • Future Directions:
    • Design and test ECCSG development processes based on the proposed model, along with experimental validation of specific solutions to identified barriers.
    • Explore long-term funding models for ECCSGs to ensure sustainable development.
    • Develop new categories of ECCSGs to address complex problems in various scientific fields.