Drawing Buddy

Drawing buddy
Drawing buddy
Drawing buddy
op Drawing buddy
op Drawing buddy
op Drawing buddy
Drawing buddy
Drawing buddy
Drawing buddy

Category:

Physical Product Design

Duration:

4 weeks

📌 What is Drawing Buddy?

Drawing Buddy is an AI-augmented co-creative system designed to help K-12 students gain confidence in drawing through real-time AI feedback and tactile interactions. It merges traditional art with modern technology, making creative learning more intuitive, engaging, and approachable.

⭐ What Inspired This Project?

"Many young learners struggle with traditional art due to a lack of guidance, while digital tools often fail to provide the hands-on, tactile experience needed for skill-building."

Earlier while teaching an art class at John O’Connell High School (a), something caught my attention:

  • Some students rushed through assignments just to get credit.

  • Others were deeply immersed in creative exploration.

  • Many, however, lacked confidence—they hesitated, second-guessed, or gave up altogether.

🎨 Key Observation:

A student (b) trying to draw Yoshi struggled with proportions and structure, growing visibly frustrated. Another wanted to draw fireworks but couldn’t translate her vision onto paper


💡 The Problem Felt Personal

I remembered my own childhood struggles with art—how the lack of guidance, structure, and confidence made drawing feel like an intimidating challenge rather than an enjoyable experience.

⭐ User Research: Understanding Student Needs

The Challenge:

Traditional Art = Intimidating for Beginners → No real-time feedback, high skill barrier.

Digital Art Tools = Lack of Tactile Interaction → Limited hands-on learning.

Students Give Up Too Easily → They struggle to translate ideas into visuals.

" How might we make traditional art more engaging, intuitive, and confidence-building for K-12 students through AI-powered assistance? "

To validate the problem and guide the design, I conducted:
  • Classroom Observations – Teaching 180+ students in six periods.

  • Teacher Interviews – Discussed pain points & teaching methods.

  • Student Feedback – Explored why students felt stuck when drawing.

  • Maker Faire Testing – Hands-on prototype testing with ages 5-10.

Key Insights from Research:
  1. Students Hesitate to Start – The blank canvas is intimidating.

  2. Lack of Proportional Understanding – Need guidance on structure.

  3. Prefer Step-by-Step Guidance – But still want creative freedom.

Product Solution: AI-Powered Drawing Assistant

Goal: Encourage creativity by reducing hesitation while keeping the experience hands-on and exploratory.

⭐ Iterative Design & MVP Development

We built and tested two major versions:

Version 1: Lightbox-Based Drawing Guide

✔ AI projects step-by-step drawing prompts onto paper.

✔ Recorded user input to analyze drawing patterns.

🔄 User Feedback: Needed larger canvases and simpler controls.

Version 2: Interactive AI Drawing Assistant

✔ Dial-based control system for customizable guidance.

✔ Microphone input for voice-activated suggestions.

✔ Expanded to bigger canvases for natural drawing feel.

⭐ Final product & Measuring Impact & Success

Key Outcomes from Testing & Feedback:

✅ 35% increase in student engagement with AI-assisted drawing.

✅ 80% of teachers expressed interest in using it in the classroom.

✅ Positive student feedback – Less fear of making mistakes.

⭐ Lessons as a Product Manager & Next Steps

My Responsibilities:
  • Led user research with students and teachers to understand engagement challenges in digital learning.

  • Designed a user-friendly interface that adapts to students’ learning pace.

  • Developed an interactive AI assistant that provides real-time feedback and adaptive drawing prompts.

  • Analyzed user feedback & iteration cycles to improve product usability.

Key Takeaways

✔ User Research is Crucial – Observing real classrooms gave insights surveys couldn’t.

✔ Balancing Guidance & Creativity Matters – The best tools empower, not instruct.

✔ Iteration is Key – The design evolved through data-driven decision-making.

Future Roadmap

📌 AI Personalization – Adapting to individual learning styles.

📌 Gamification – Adding rewards-based challenges to boost engagement.

📌 Expanding to Other Creative Domains – Applying AI guidance to music & storytelling.