Overview
Personalized productivity by emotional context
This concept reframes to-do management around current energy, attention, and stress rather than static priority lists.
The Problem
Traditional task apps ignore mental state
People with fluctuating focus struggle when interfaces assume consistent cognitive bandwidth throughout the day.
Research
Behavior patterns and mode triggers
Interviews and pattern mapping helped define moments where adaptive prompts reduce overwhelm and increase completion confidence.
Process
Rapid iterations around focus states
Wireframes tested how mode switching, task tone, and pacing could adapt without creating extra setup overhead.
Solution
Three mode system with adaptive cues
The final concept introduces low-friction mood check-ins, mode-based prioritization, and reassuring progress language.
Outcomes / Impact
A usable path for supportive productivity
The framework outlines how AI can support attention diversity without becoming intrusive or over-automated.
Reflection
Gentle interfaces can still be rigorous
Designing for neurodiverse needs requires clear systems and emotional sensitivity at the same time.