Virtual Interaction Controls With Contextual Intent Indicators
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Solution Overview
Problem
Users face difficulties in accurately controlling avatars in virtual environments due to interface design and input limitations, and group interactions are hindered by limitations in animation and rendering, making it challenging to understand another user's intent.
Innovation Solution
A system and method for accessible control in virtual environments, allowing users to interact with avatars using single-hand or single-finger inputs, combined control inputs, and providing contextual indicators such as audio, visual, or haptic feedback to clarify user intent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional control interfaces are used in virtual environments, then standard control functionality is provided, but accessibility for users with disabilities is reduced and control accuracy is difficult to achieve
Solution Approach 1:
The control interface is segmented into multiple input modalities including gaze detection, voice commands, and simplified motor controls. This segmentation allows users with different disabilities to access the system through their preferred modality, improving accessibility without compromising control accuracy through the use of specialized input methods for each user type.
Solution Approach 2:
An intermediary processing layer is introduced between the user's input and the virtual environment controls. This intermediary uses machine learning models to interpret and translate various input types (gaze, voice, simplified gestures) into accurate control commands, bridging the gap between accessibility needs and control precision requirements.
2Ease of operation
If simplified control inputs are provided for accessibility, then ease of operation is improved, but the ability to perform complex control tasks is reduced
Solution Approach 1:
The control system dynamically adapts its complexity based on user needs and task requirements. For routine tasks, simplified controls are provided for ease of operation. For complex tasks, the system automatically enables additional control modalities and fine-tuning options, allowing users to access advanced functionality when needed while maintaining simplicity for everyday use.
Solution Approach 2:
The control interface is designed with universal principles that allow a single simplified input mechanism to perform multiple functions. For example, voice commands can navigate menus, control avatars, manipulate objects, and access settings, providing both simplicity and versatility through a unified multi-functional control system.
3Loss of information
If detailed animation and graphics are used to show user intent, then information completeness is improved, but system complexity and processing requirements increase
Solution Approach 1:
The system uses color-coded visual indicators to represent different user intents and control states. For example, different colors indicate whether an avatar is moving, interacting with an object, or responding to a command. This color-coding system conveys rich information about user intent through simple, easily distinguishable visual cues that reduce processing requirements compared to detailed animations.
Solution Approach 2:
The system extracts and displays only the most critical information about user intent, separating essential intent data from unnecessary visual detail. Instead of showing complete animation sequences, the system extracts key intent indicators (such as directional arrows, action icons, or text labels) and displays them prominently, maintaining intent clarity while reducing system complexity.
Data Source
AI summary
Some implementations relate to methods, systems, and computer-readable media for providing accessible controls and contextual indications. Some implementations may include receiving control inputs from an input device, the control inputs comprising a selection of a portion of a user interface of the virtual experience, tracing of a path in the user interface, or a combination thereof, assembling a control queue based on the received control inputs; implementing the control queue by directing a virtual experience engine to perform control actions corresponding to the received control inputs in the control queue, rendering results of the implementation of the control queue by updating the user interface, and providing one or more contextual indicators of the results of the implementation of the control queue in the user interface.