Think, sync, and brainstorm with AI Agents.
My Contribution
1. Identified user pain points through interviews, literature review, and competitive analysis, developing user flow.

2. Designed optimal solutions, including interactive prototypes, technology mapping and final design.
Team
Yemoon Cho
Instructors:
Hugh Dubberly, Yoon Bahk, Eric Paulos
Impact
Defined ambient interaction patterns for LLM-assisted brainstorming.
Sept-Dec 2023
 
Thync reimagines how designers can collborate with LLMs during brainstorming.
UC Berkeley Master of Design Thesis project: an experimental design concept exploring how AI can collaborate with designers during the brainstorming process.
 
Brainstorming with AI might look like...
Context
Brainstorming? ❌
Prompting for LLMs! ✅
Juggling between APPs! ✅
Out of curiosity, we ran an experiment to brainstorm with AI—using FigJam and ChatGPT side by side to generate ideas for our HMW questions. But the result was not good.
4 LLMs or 1 LLM?
The generic prompts we used in brainstorming lead to identical output from AI.
Brainstorming or reading?
Valuable brainstorming time is redirected to processing AI outputs rather than thinking.
Brainstorming or prompting?
The natural flow of idea generation was disrupted by the constantly prompt with AI.
 
How might AI participate in brainstorming with designers?
question
We started ideation of AI's role in brainstorming with paper prototype and sketches. We have rough ideas but need to further test them.
AI as contributor
Instead of prompting AI outside of your favorite digital whiteboard individually, can we introduce an actual AI teammate in your brainstorming session?
AI as advisor
We started ideation of AI's role in brainstorming with paper prototype and sketches. We have rough ideas but need to further test them.
 
Validate ideas through user interviews & testings.
research
Me as Advisor AI
Teammate as Contributor AI
Interviewee as Participant.
During the process, me using ChatGPT write real-time feedback for participant’s idea. My teammate Moon using ChatGPT write real-time new ideas distinct from ideas already on the board.
Postive feedback from interviews.
Interviewees appreciated how our 'AI' contributed ambiently during brainstorming, offering context-aware input without prompts.

Their feedback also sparked discussion on output/productivity can be improved with different system prompts.
 
Prototype the ambient AI experience.
prototyping
After validate the idea of having two AI teammates, I coded the prototype that uses open AI API to achieve the LLM output. You can setup the topic, background of advisor and contributor inside the whiteboard. When you write down ideas on sticky notes, AIs will do their jobs too.
Glimpse of the implementation
Utilizing a open-source whiteboard framework, with ChatGPT's help. We successfully recreated the previous simulated AI workflow inside figjam in an actual digital whiteboard.
 
A holistic user brainstorming session design.
delivery
Setup Background
Add relevant research,
Set background of AIs,
Customize rule and agenda.
Contributor generates ideas.
Contributor AI will add the same amount of ideas as human participants.
Advisor enhances ideas.
Advisor finds relevant research or practices to expand human-generated ideas.
Automatic grouping
Contributor AI will follow the participants’ grouping choices to organize similar ideas.
Regroup suggestion
Advisor helps revise the grouping like correction, merge similar ideas, or divide huge groups.
Evaluate final results
Advisor will give their ownrecommendations based on viability, feasibility and desirability.
Generate sharable report
Report for sharing with teammates, reviewing this session and continuous improvement overtime.
 
Thesis Exhibition
showcase
Our capstone presentation was delivered to the Master of Design program attendees and distinguished guests, complemented by a public exhibition at the Jacobs Winter Showcase.
 
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