AI Homework Experience
The Disappearing Artwork - An Immersive AI-Powered Board Game Experience
Project Duration: 6 Months
Role: UI/UX Designer
Responsibilities: PRD Specification Document, Game Content, and Visual Design Planning
01 | Team Objectives:
Use GPT AI to design an engaging and appealing board game, and launch it on a crowdfunding platform with the goal of raising $100,000.
02 | Roles and Deliverables:
In this project, I worked closely with four UX designers. My responsibilities included planning questionnaires, setting up hypotheses, collaborating with the team to build GPTs, and using AI to generate visual designs.
03 | Project Challenges:
Use ChatGPT to Design a Board Game
Throughout the design process, effective communication and coordination with other teams are essential. Additionally, it’s crucial to manage multiple task priorities to ensure we can launch the MVP on schedule.
04 | Design Validation:
After conducting over 20 interviews and play-tests, our team invited experienced players to point out the problem and optimize the board game.
05 | Image generation
Image Generation Process with GPT and Midjourney:
First, set keywords to generate an initial image. Then, use AI to make targeted adjustments. Finally, refine details further using graphic design software.
Before designing a board game, I used GPT to conduct a market analysis and positioning study, summarizing the following points:
User Preferences and Background, Game Types and Selection Factors, Game Learning and Difficulty, Social Interaction, Reasons Why Board Games Are Fun
Target age group: young professionals aged 25 to 35 who are new to the workforce.
Project Background
Young people prefer games that offer both relaxation and opportunities for self-exploration and emotional connection. Therefore, game design should focus on storytelling and character development, allowing players to enhance their experience through logical thinking and strategic planning. Adding technology elements can further boost interactivity. Games should be adjusted to meet different market needs: educational board games should balance learning effectiveness with fun, while entertainment board games should emphasize storytelling and player interaction. Corporate training games should foster teamwork and problem-solving skills, whereas personal growth games should include aspects of self-exploration and mental wellness. Through precise market targeting, games can more effectively attract their intended audiences and meet their specific needs.
Design Process
01
Understanding Issues and User Pain Points
Conduct Initial Hypothesis-Based User Interviews to Understand User Needs
02
Design process
Redefine Core Issues Based on User Data Analysis
03
Assumptions and Solutions
Set Hypotheses, Invite an Experienced Player for Testing, and Adjust Solutions
04
MVP Validation
Conduct A/B testing on the product,
followed by in-depth analysis and continuous iteration.
User Research
Before designing a board game, I used GPT to conduct a market analysis and positioning study, summarizing the following points:
User Preferences and Background, Game Types and Selection Factors, Game Learning and Difficulty, Social Interaction, Reasons Why Board Games Are Fun
Target age group: young professionals aged 25 to 35 who are new to the workforce.
Interview Pre-Survey Assumptions:
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Communication Challenges During Board Games
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Game Content and Post-Game Review
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Reasons for Purchase (Emotions and Motivation)
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Game Style and Components
Customer Profile
Young professionals
Board Game Enthusiast
Individuals focused on personal growth
Target Users
Aged 22 to 35, these young professionals are casual gamers interested in strategic, story-driven games.
Survey data shows players prefer a quick rules overview to start and immerse in the game faster.
Our Assumptions and Solutions
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Create Immersive Experience with AI-Generated Images: Use GPTs to generate realistic images for the game environment and characters, enhancing players' sense of immersion. Provide step-by-step prompts to guide players through each stage, making gameplay intuitive and seamless.
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Incorporate MBTI for Post-Game Analysis: Integrate GPTs with the MBTI personality framework to help players analyze their actions and responses after the game. This post-game reflection could offer players insight into their personality traits based on their in-game decisions.
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Refine Game Design Through Playtesting with Experts: Design a board game using GPTs, conduct initial playtests, and then invite experienced players to test the game. Gather feedback on rules and character roles to fine-tune the balance and enhance gameplay.
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Offer Both Text-Only and Visual Game Guides: Prepare two versions of the game manual—one with simple text instructions and another with illustrations. Have players read through these guides before playtesting, then conduct interviews to assess comprehension and gather feedback.
Our Key Features
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Advantages
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Dynamic Content Generation: Game content adapts to player choices, offering unique scenarios each time.
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High Interactivity: Combines the strengths of AI and traditional board games; GPTs generate new images and challenges based on player actions, enhancing engagement and emotional connection.
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Beyond Traditional Boundaries: Each playthrough offers a fresh, innovative experience.
Drawbacks
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Technical Dependency: System malfunctions could disrupt game flow.
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Higher Costs: Developing and maintaining an AI-powered board game involves higher expenses.
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Equipment Requirements: Electronic devices or network support are necessary.
Key Takeaways
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Design an Attractive Board Game Cover and Card Artwork to Engage Players
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Use AI to Generate Game Imagery
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Enhance Interactive Gameplay Experience Using GPTs
MVP Testing
Use GPT to Generate Cards and Packaging, Inviting Players for an Immersive Experience
Communication Barriers
in Learning Game Rules
提升 97%
Communication Barriers
in Learning Game Rules
141 學員
Communication Barriers
in Learning Game Rules
226 次
Learning and Reflection
My first experience using GPTs to design a board game took me through content planning, team discussions, and writing the PRD. Throughout this process, I applied my knowledge to the game’s design and development. During real user interviews, I frequently faced unexpected challenges, requiring me to make and test new assumptions constantly. This iterative approach deepened my understanding of the flexibility and challenges in design. Through this hands-on learning and continuous adjustments, I refined the board game to fully showcase my learning achievements, marking a significant milestone in my growth.