Input/Output For User-Computer Interaction TRIZ Cases

A lever and flexible hinge amplify touch-substrate vibration, enabling tactile feedback on high-mass screens with lower power use.

Declarative widget expectations validate context before execution, reducing restart-driven outages and runtime compatibility errors.

Gaze-driven suggestion filtering on computerized glasses reduces display clutter and battery use while helping users discover relevant assistant actions.

Gaze, input, and system activity are analyzed by display zone to tailor assistance and cut inappropriate notifications on electronic terminals.

Different drive voltages across piezoelectric film cells create strong and weak vibrations, expanding tactile cues and transmitted information.

Inactive screen regions are identified from app context and user activity, then dimmed or disabled to cut display energy without losing responsiveness.

Local light sensing identifies occluded tracking emitters so handheld devices can cut emitter power and heat without losing tracking.

Specific touch gestures open menu setting mode from the terminal quick panel and show current settings in a pop-up with fewer steps.

Spatially blended correction parameters help a display driver reduce color shifts from curvature, viewing angle, and ambient light changes.

Camera-parameter-based coordinate mapping enables multi-user AR overlays across devices while cutting bandwidth for shared video interactions.

Electromagnetic induction and touch sensing work together to detect finger-display position changes and trigger adaptive screen updates.

Multiple photosensors and orientation sensing adjust AR display brightness and modulator transmission to keep images clear while limiting power and heat.

Biometric brainwave sensing adjusts lighting, temperature, and noise to preserve focus and store personalized flow-state settings.

Tip and ring coordinates let the touch controller infer stylus use and set vibration strength for more precise haptic feedback.

LIDAR, IR, and haptic feedback help impaired users navigate storefront obstacles, locate products, and receive emergency alerts.

Resonant sine-wave periods in the reproduced waveform keep haptic pen vibration strong while cutting LRA power use and extending runtime.

Splitting data type and value across frames preserves normal pen data periodicity and prevents mistimed output device activation.

A virtual camera mirrors real camera parameters and user operations, helping photographers transfer shooting skills into VR space.

Flexible piezoelectric facial sensors track eye movement from skin deflection, avoiding bulky optics and weak EOG signals.

Enrollment-based visual axis correction improves XR gaze tracking and virtual content alignment, including clip-on lens compensation.

A height-sensing movable interface lets transaction machines lower or raise controls so users of different reach can complete transactions.

Gaze-targeted input IDs and conditional hand gestures simplify 3D interaction, reduce accidental inputs, and lower power use.

A single handwriting model recognizes mixed scripts in real time without language switching, even with varied stroke order and writing styles.

An adjustable wrist band localizes signal-processing electronics and tuned electrode contacts to improve neuromuscular sensing without bulky wear.

Switching by pen-to-surface distance enables smooth contact and hover input without tilt changes, preserving temporal resolution and cursor stability.

Physiological and context signals are used to pause content output during high-focus periods, reducing interruptions without fixed notification blocking.

User detection and ML-driven content selection let a mobile kiosk personalize displays while shifting to low-power states between interactions.

Hash-based matching blocks legible display of selected social network account data while reducing deletion time, bandwidth, and storage use.

Pupil and gaze signals are used to infer attention to illuminated UI regions, enabling hands-free interaction without explicit input.

Brainwave intent classification plus user vocabulary and context lets an LLM generate faster, more personalized communication beyond letter staring.

Skin deformation and color changes enable head-mounted cameras to detect on-body touch accurately across lighting conditions and skin tones.

A 2D-to-3D converter boosts VR pixel detail while headset sensor data mimics input devices for smoother immersive interaction.

Pinch gesture hand tracking rotates 3D virtual objects in XR without extra controllers, keeping user attention on the displayed content.

Fused IMUs on both sides of the wrist joint enable accurate remote gesture control without bulky cameras, EMG sensors, or glove-like wearables.

A vibration member aligned with the virtual rotation axis shrinks rotary input hardware while preserving strong tactile feedback.

A gaze timer extends handheld controller functions in MR and AR without extra buttons, reducing clutter and accidental activation.

Inertial and wearing sensors raise the input threshold when a wearable display is outside the user's view to prevent false touches.

A steerable camera narrows its view to the user's hands, improving AR gesture input accuracy while avoiding wasted image processing.

A single optical activation sensor lets faucets and showers detect gestures to control water flow without handles or extra input devices.

Temporally modulated light on real objects lets a BCI infer user focus without a screen, improving comfort and reducing peripheral interference.

Biometric and location signals trigger wearable capture and rank content by memory metric, reducing missed moments and search effort.

Energy-consistent virtual coupling stabilizes 6-DOF haptic feedback during softbody insertion while cutting redundant collision calculations.

Gaze fixation data guides AR display tilt selection so more user viewing angles stay within the limited field of view.

Distributed illuminators and detectors in a transparent visual assembly enable eye tracking and 3D sensing without blocking view or adding bulk.

Mid-air gestures switch dual-camera shooting modes without screen touch, preserving video framing and reducing accidental mode changes.

A grid scan path shifts sampling toward screen edges and corners to improve eye-gaze prediction accuracy with less calibration time.

Removable magnetically aligned lenses let headsets match user prescriptions and restore clear focus without redesigning the base optics.

Separate compatibility data from title images to show VR and HMD support clearly, even when content status changes after updates.

Eye tracking verifies that users have read warning text before authorization, reducing accidental actions and enabling adaptive UI changes.