Input/Output For User-Computer Interaction TRIZ Cases

A multidirectional key merges navigation and alphanumeric input to save keyboard space, enlarge usable keys, and reduce finger overlap.

A multi-mode keypad maps multiple keys to directional commands, improving gaming input while preserving standard mobile operation.

Ambiguous reduced-keyboard input is resolved with frequency-based compound word variants, user editing, and learning that adapts to preferences.

Adjustable key orientation changes hand position during messaging, easing repetitive thumb strain while preserving a compact handheld keyfield.

A prerecorded hologram creates a free-space input image and detects actuator position without projection surfaces or complex volumetric optics.

Capacitance sensing and priority analysis identify the intended touch among adjacent mobile keypad keys, reducing accidental key activation.

A proximity sensor switches speaker and microphone gain between close-talk and far-talk modes to protect hearing and keep voice input clear.

Precomputed compound word candidates resolve ambiguous reduced-keyboard input, reducing keystrokes and improving text entry accuracy.

N-gram filtering removes unlikely artificial variants from ambiguous reduced QWERTY input, cutting extra keystrokes while preserving accuracy.

Audio segments announce selected characters before confirmation, enabling faster, more accurate input without visual checking.

Frequency-based text disambiguation ranks likely words, supports editing and learning, and speeds entry on reduced QWERTY keyboards.

Anchor frames let an optical mouse keep low-speed tracking accuracy while meeting reporting rates without extra memory, power, or processing.

Server-side pre-rendered frames cut XR device processing, power use, and heat while sustaining immersive display performance.

Finger orientation and relative finger motion let smart glasses control virtual objects without buttons, improving usability and battery life.

Sensors compare user data with stored references to trigger sound, scent, and sanitizing actions that improve posture, focus, and hygiene.

Time-reversed ultrasonic focusing enables precise 3D contactless detection of multiple stationary or low-motion elements without optical limits.

Hand-triggered local see-through lets VR users reveal only a selected real-world region, avoiding full scene switching and preserving immersion.

A multidirectional center key merges typing and navigation to save keyboard space, reduce finger overlap, and keep handheld input intuitive.

Proximity-triggered invisible virtual widgets reduce 3D UI clutter while enabling precise, intuitive interaction through real-time tracking.

Hierarchical XR experience and augment states prioritize rendering and processing to cut battery drain, heat, and wasted resources.

Natural head movements and simple directional sensors build an environment map for head-mounted devices while reducing weight and power use.

Physical marker detection lets electronic eyewear send preselected AR messages hands-free while reducing continuous scanning power use.

Fusing UWB angle-of-arrival data with IMU sensing enables accurate wearable pose tracking without bulky camera setups or high power use.

Periodic scan data from the interaction member helps the audio circuit remove operating and mechanical noise from microphone signals in real time.

Spatial mapping identifies clear volumetric zones in each environment so shared AR content stays visible, safe to access, and easier to synchronize.

Non-Newtonian fluid chambers vary wearable resistance under applied force, expanding tactile sensations without adding many actuators.

Multiple active apps are placed on separate virtual screens in VR, avoiding picture blocking while allowing the host device screen to stay off.

Sensor-based pre-action recognition and camera scanner detection let a terminal show a payment code without manual app navigation.

Fused EEG, EMG, eye, gesture, and voice inputs automate 3D modeling, cutting manual command entry and operator fatigue.

Automatic viewpoint shifts based on head and gaze direction let users explore virtual space more naturally while keeping display control manageable.

Touch-sensitive side regions with under-cover displays and haptic feedback let laptop trackpads shift by app while freeing main screen space.

Estimated video, audio, and haptic latency values are used to align presentation timing and reduce discomfort without real-time measurement.

Low-power depth and amplitude frames trigger high-accuracy TOF sensing only during hand interaction, cutting wearable tracking energy use.

AI combines interior and exterior vehicle video to overlay driver gaze and actions, making accident and near-miss causes easier to interpret.

Combined sound and vibration feedback adapts to ambient noise, making digital pen writing feel more like a mechanical pen.

Gaze, hand, and touch feedback streamline AR/VR input, cutting cognitive burden, user errors, and battery waste.

Magnetic attachment and optical tracking replace drilled knob mounts, enabling waterproof, high-accuracy panel input with easier maintenance.

Biological and environmental sensing replaces long BCI training by mapping user state to context-aware interface actions in real time.

XR overlays filter and rank remote device input options by scene and user context, reducing clutter and improving interaction accuracy.

A flexure-biased trackpad assembly improves click feel, ergonomics, and consistent input response across different touch locations.

Resistive fabric and integrated RFID reading turn glove deformation into low-power, user-linked inventory tracking for ammunition and supplies.

An interior radar sensor detects gestures through vehicle windows to trigger hands-free liftgate opening or remote start without extra exterior sensors.

Automatic time-of-day and lighting updates cut XR input burden during communication sessions while helping conserve battery power.

A displayed marker lets a headset track a phone’s relative pose and replace the marker with a virtual device view for smoother CGR interaction.

Leafing finger motions are detected from eyewear video to scroll virtual content responsively while limiting hand-tracking processing load.

Pupil and retina imaging are combined into an eye model that improves gaze direction detection for precise display control in wearable AR and VR devices.

Perpendicular tactile rods turn external contact into fingertip pressure, improving object sensing and precise touchscreen selection while wearing gloves.

Eye tracking detects blinks and saccades so an AR/VR display can dim light, skip frames, or lower refresh rate to cut current drain.

Ring-buffer frame filtering suppresses noisy hand signs and enables real-time gesture recognition on memory-constrained devices.

Eye-tracked saccades let surround view seams shift when drivers are less likely to notice, reducing stitched-image discontinuities.