Voice Command Bookmarking for Context Management
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Solution Overview
Problem
Voice assistants, such as Amazon's Alexa, face challenges in understanding context and executing complex commands, requiring multiple exchanges and descriptive arguments, which is not an ideal user interface.
Innovation Solution
A system and method for bookmarking complex voice commands, involving a voice assistant, network, and service provider communication servers, where a bookmark application monitors voice streams, detects keywords, and allows users to create, store, and execute voice commands as bookmarks, simplifying command execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voice assistants use multiple exchanges and descriptive command arguments to gather context, then they can understand complex commands, but the user interface becomes less ideal and requires more user effort
Solution Approach 1:
The system performs preliminary action by automatically gathering context information and creating bookmark commands in advance, before the user needs to execute them. The bookmark application monitors voice streams, identifies keywords, and pre-assembles complex commands with all necessary context parameters, so users can later execute simplified bookmark commands instead of reconstructing the full context each time.
2Reliability
If voice assistants require multiple exchanges to retrieve context, then they can execute complex commands accurately, but the time required increases significantly
Solution Approach 1:
The bookmark application performs preliminary action by capturing and storing complete command contexts with all necessary parameters during the initial voice exchange. When users want to execute these commands later, the pre-assembled bookmark commands are retrieved instantly without requiring multiple exchanges to gather context again, significantly reducing the time loss while maintaining execution accuracy.
Solution Approach 2:
The system creates simplified copies of complex commands in the form of bookmark commands. These bookmark commands contain embedded context information that replicates the full command structure, allowing users to execute complex commands by invoking simple bookmark names without re-providing all the original context parameters.
3Reliability
If voice assistants use descriptive command arguments to gather context, then they can understand user intent, but the user must remember all arguments which increases complexity
Solution Approach 1:
The bookmark application creates simplified copies of complex commands that embed all necessary context parameters. Instead of requiring users to remember and provide multiple descriptive arguments, the system stores complete command templates with all parameters and allows users to invoke them by simple bookmark names, reducing the perceived complexity while maintaining interpretation accuracy.
Solution Approach 2:
The bookmark command structure serves multiple functions: it acts as a simple user-facing trigger, contains the full complex command structure with all parameters, and can be executed repeatedly without re-specifying context. This universal bookmark structure handles both simple and complex commands through a unified interface, reducing the need for users to understand different command formats.
Data Source
AI summary
Voice information is received, via a network from a first voice assistant. The voice information comprises a digitized voice stream and/or information associated with the digitized voice stream. A keyword is identified in the voice information. The keyword is used to create a first bookmark. In response to identifying the first keyword in the voice information, a name for the first bookmark is received in the voice information, a command for the first bookmark is received in the voice information; and the bookmark is stored in a memory.