AR Chatbot Voice Command Recall via Session Recording
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Solution Overview
Problem
Users of voice-based chatbots in augmented reality environments face challenges in recalling and reusing voice commands from previous sessions, especially when contextual situations are similar but not identical, leading to inefficiencies in interacting with AI voice assistance systems.
Innovation Solution
A method and system that record and playback augmented reality sessions, allowing users to select and modify previous voice commands based on contextual situations, using AI analysis and IoT data to simulate past environments for reusing relevant voice commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice commands are recorded and stored for later retrieval, then users can recall and reuse commands from previous sessions, but the system complexity increases due to the need for recording, storage, and playback functionality
Solution Approach 1:
The system creates and stores copies of voice commands from previous AR sessions. These recorded voice commands are saved in a database with associated metadata (context, location, time), allowing users to retrieve and reuse them in similar situations without having to recreate them, thus improving ease of operation while managing complexity through automated copying
Solution Approach 2:
Voice commands are recorded and stored in advance during previous AR sessions, preparing them for future retrieval. This preliminary action of capturing and archiving commands before they are needed allows users to quickly access proven commands that worked in similar contexts, reducing the need for real-time command creation
2Loss of information
If the system stores detailed recordings of multiple AR sessions including voice commands and responses, then users can find and reuse relevant commands from past contexts, but the amount of data storage required increases
Solution Approach 1:
The system extracts only the essential elements from complete AR session recordings - specifically the voice commands themselves along with key contextual metadata (location, context type, timestamp). By separating and storing only these critical components rather than entire session recordings, the system maintains useful information while significantly reducing storage requirements
Solution Approach 2:
The system applies different levels of detail and storage priority to different types of data. Voice commands and their immediate contextual metadata are stored with high fidelity for retrieval, while other session details are either summarized or discarded. This selective quality approach ensures important information is preserved without uniformly high storage costs across all data
3Reliability
If the system provides full playback of recorded AR sessions, then users can review complete previous interactions, but the time required to locate specific commands increases
Solution Approach 1:
The system provides feedback mechanisms during command retrieval, such as displaying metadata previews (context, location, timestamp) of stored commands without requiring full playback. This allows users to quickly scan and identify relevant commands based on key attributes, then access only the specific command needed rather than reviewing entire sessions, reducing retrieval time while maintaining accuracy
Solution Approach 2:
The system segments the complete AR session recording into discrete, independently retrievable voice commands, each tagged with metadata. This segmentation allows users to query and retrieve individual commands or small groups based on specific criteria (context, location, time) rather than playing back entire sessions, significantly reducing the time to locate specific commands while preserving the完整性 of command information
Data Source
AI summary
A method for recording a plurality of augmented reality (AR) sessions between a set of user(s) and an AR computer system, receiving first user input, through the AR computer system and from a first user, identifying a first AR session of the plurality of AR sessions, and presenting at least a portion of the recording of the first AR session on the AR computer system for the first user.