Conversational Assistant for Extended Reality Task Guidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current extended reality (XR) technologies lack effective methods for guiding users through goal-oriented tasks within immersive environments, particularly in virtual, augmented, or mixed reality experiences, where users need feedback and navigation assistance to achieve specific goals efficiently.
Innovation Solution
A computer-implemented method and system that generates an XR environment with a conversational assistant, allowing users to interact via voice commands, providing audible, visual, or haptic feedback based on their progress and tasks, using speech recognition and synthesis, and natural language understanding to guide users through tasks and goals defined by designers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If XR environments provide comprehensive task guidance and feedback mechanisms, then user task completion efficiency improves, but system complexity increases
Solution Approach 1:
The system implements real-time feedback mechanisms by monitoring user actions through event data and comparing progress against defined goals. The conversational assistant provides continuous guidance and status updates to users, enabling them to understand their progress and adjust their actions accordingly, thereby improving task completion efficiency while managing system complexity through structured feedback loops.
Solution Approach 2:
The patent introduces a conversational assistant as an intermediary between the user and the complex XR system. This assistant handles natural language interactions, processes user intent, and translates it into system actions or responses. By mediating between user commands and system functions, the assistant simplifies the user interface while maintaining comprehensive task guidance capabilities.
2Ease of operation
If XR systems implement real-time voice command processing and feedback, then user interaction quality improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and categorizing voice commands as they are received. The conversational assistant anticipates user intent by analyzing speech patterns and context, preparing appropriate responses or actions in advance. This reduces the perceived processing time by having responses ready before the user completes their input or when the most appropriate response is identified early in the interaction.
Solution Approach 2:
The patent replaces traditional mechanical or manual interaction methods with voice-based natural language processing. Users can issue commands and receive feedback through speech, eliminating the need for manual controls or complex gesture recognition. This substitution improves ease of operation by allowing more intuitive interaction while the system handles computational processing in the background.
3Reliability
If the system provides multiple feedback modalities (audible, visual, haptic), then user awareness and engagement improve, but device complexity and energy consumption increase
Solution Approach 1:
The system dynamically selects and adjusts feedback modalities based on the current task context, user preferences, and environmental conditions. Rather than continuously providing all three feedback types (audible, visual, haptic), the conversational assistant determines the most appropriate feedback modality for each specific situation. This dynamic adaptation maintains high user awareness while reducing unnecessary energy consumption from multiple feedback systems operating simultaneously.
Data Source
AI summary
A computing system generates an extended reality environment for an end user. The extended reality environment includes a plurality of tasks and a plurality of goals to be achieved by the end user. The computing system receives input data from an extended reality system associated with the end user. The computing system updates a progress of the end user through the plurality of tasks and the plurality of goals based on the input data. The computing system receives a voice command from the end user. The voice command corresponds to a statement uttered by the end user within the extended reality environment. The computing system processes the voice command to generate a response to the voice command. The computing system causes the response to appear within the extended reality environment as an audible, visual or haptic feedback response to the voice command.