Sequence length, initial down events near corners, and micro-oscillations during scrolls reveal dominant hand and comfort arcs. Coupled with accelerometer bursts and rotation rate, you can spot walking versus seated contexts, adjusting sensitivity and animation distance to prevent seasickness while keeping controls within easy reach.
Process touch heatmaps, orientation trends, and grip likelihood entirely on-device, storing only aggregated preferences that users can reset. Offer clear explanations and toggles. When data never leaves the phone, confidence rises, experimentation increases, and adaptive repositioning earns trust rather than suspicion or fear of tracking.
Model grip probability in state, bind layout constraints to that state, and animate with spring parameters tuned for short distances. Use safe area geometry readers and gesture recognizers to align with reachable arcs. Validate with VoiceOver rotor navigation and larger content sizes for clarity.
Model grip probability in state, bind layout constraints to that state, and animate with spring parameters tuned for short distances. Use safe area geometry readers and gesture recognizers to align with reachable arcs. Validate with VoiceOver rotor navigation and larger content sizes for clarity.
Model grip probability in state, bind layout constraints to that state, and animate with spring parameters tuned for short distances. Use safe area geometry readers and gesture recognizers to align with reachable arcs. Validate with VoiceOver rotor navigation and larger content sizes for clarity.