INTRO
Context
"The displacement of the nearby in public consciousness."
The intent is to inspire guests to pay attention to ordinary settings and people around them because the interactive touch-points could be activated in the most unexpected places or by an unexpected person.
There isn’t a shortcut to find a connection. The key is to let it happen and be ready for those moments by keeping your heart's eyes open.
Problem
Storytelling
Due to the limitation of time, we didn't get to implement all the features. Below are the proposed features that are possible with available data from radar.
visual parameter
Mapped to
What’s needed to implement
Planet size
effort invested (time or money)
Actual effort metrics based on e.g. time and money
Star Brightness
Impact or visibility
quantitive impact score, or stakeholder priority
Rotation speed (within the trail or self-rotation)
Update frequency within stages, major updates
More granular way of documenting updates in projects
Split off trails
if multiple spin-off projects emerged from an original one
More relationship data to indicate relationships between projects
Satellite (Level 3 Category)
work (tech evaluation, partner, spin off) that supported that specific projects
Evaluation of DataOS
Planet shape
Entity type
Project, tech evaluation, partner
Domain star cluster
Product sub concepts
product line-features
Our approach enables adaptive interfaces through conversational feedback. Users can directly express what they want to track or explore.
By entering their goal or question into a prompt input box, the system performs intent tagging to categorize the query and automatically surfaces the most relevant UI components.
Step 1: Intent Tagging: Understanding the ask





For example ☝️
Step 2: UI Matching: How to Answer with Different UI Components
For example, for "Discover" intent, an UI component like this be fetched☝️
Step 3: Curate Dashboard Space with Feedback
During the process of brainstorming how to leverage the power of LLM to empower better search, I talked to a start up company called glean, which provides a software that combines all source of information across platforms and domain and fuse them into smart search that's specific to the company.