Project Description
Strategy
AI Branding
AI Interaction design
Concept UX framework
Click prototype
Interview customers
Gain understanding of product
Understanding user needs and product requirements through field research, desktop research and online interviews
Main painpoints
Identify opportunity areas based on research
Formulate rough vision for further development
How might we…
Reduce downtime and labour & energy cost?
Flatten the learning curve?
Create AI rules and branding for current design system?
Ideate high value concepts
Build mockup prototypes to communicate ideas with stakeholders
Contribute to visual design concept
Cluster device networks visually in “nodes”.
Dynamically scale in and out from global to local views.
Multiple AI entry points.
Contextual understanding.
AI branding and design system for 2D and 3D interaction
Making AI decision path visible and editable.
Introduction of “AI recipes”.
Perception → Prediction → Decision.
Using AI predictions to avoid downtime and efficiently optimise networking.
Collaborate with stakeholders to gain customer feedback
On-site interviews with stakeholders
Additional user interviews and client feedback to live demos at a conference were used to further improve the user experience and polish the concept design.
Detection
Playback
Summary
Explanation
Future impact
Summary
Explanation
Solution generation
Explanation
Adjustability (recipe entry)
Upsale