Voice Message Activity System for Targeted Information Delivery
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Solution Overview
Problem
Current voice-based systems face challenges in effectively providing users with targeted and relevant information, as well as in enabling efficient management and interaction with information collections, such as shopping lists or wish lists, through spoken commands.
Innovation Solution
The Voice Message Activity (VMA) system allows users to interact with voice-based messaging systems to categorize spoken information and perform actions on predefined or custom lists, using speech-to-text conversion to add items, search for information, and access services, thereby enabling efficient management and interaction with information collections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional advertising models (print media, radio, television, billboards, Internet-based ads) are used to provide information to users, then information can be delivered to a broad audience, but the information is not targeted to users' current interests or needs and cannot be delivered in the desired form or manner
Solution Approach 1:
The system continuously monitors user behavior, preferences, and context through feedback mechanisms, analyzing spoken information to understand user needs and interests. This feedback loop enables dynamic adjustment of information delivery to match user preferences, resolving the contradiction between broad reach and targeted relevance by adapting content based on real-time user responses
Solution Approach 2:
The advertising and information delivery system transitions from static, pre-scheduled content to dynamic, real-time adaptation. The system dynamically adjusts information delivery based on user context, preferences, and behavior patterns extracted from spoken interactions, enabling the same system to serve both broad audience reach and highly targeted relevance simultaneously
2Ease of operation
If voice-based messaging systems provide general information services, then users can access basic functionality, but the systems cannot effectively provide targeted information or enable efficient management of information collections
Solution Approach 1:
The voice-based messaging system is enhanced to perform multiple functions beyond basic information delivery. It now categorizes spoken information, manages information collections, performs targeted searches, and delivers personalized content. This multi-functionality resolves the contradiction by maintaining ease of voice-based operation while adding sophisticated information management and targeting capabilities
Solution Approach 2:
The system introduces an intelligent intermediary layer that processes spoken information between the user and the information delivery mechanism. This intermediary categorizes, analyzes, and routes spoken commands to appropriate functions, enabling both easy voice operation and sophisticated information management capabilities to work together seamlessly
3Quantity of substance
If companies use traditional advertising channels to provide promotional information, then information can be distributed widely, but the information cannot be delivered in a form and manner that is currently of interest to users
Solution Approach 1:
The system segments the broad audience into targeted groups based on user preferences, behavior patterns, and contextual information extracted from spoken interactions. This segmentation enables the system to maintain high information delivery volume while customizing content for different user segments, resolving the contradiction between quantity and customization
Solution Approach 2:
The system dynamically changes information delivery parameters (content, format, timing, channel) based on user preferences and context. By adjusting these parameters in real-time, the system can deliver high volumes of information while maintaining customization to user preferences, resolving the contradiction between quantity and adaptability
Data Source
AI summary
Techniques are described for performing actions for users based at least in part on spoken information, such as spoken voice-based information received from the users during telephone calls. The described techniques include categorizing spoken information obtained from a user in one or more ways, and performing actions on behalf of the user related to the categorized information. For example, in some situations, spoken information obtained from a user is analyzed to identify one or more spoken information items (e.g., words, phrases, sentences, etc.) supplied by the user, and to generate corresponding textual representations (e.g., via automated speech-to-text techniques). One or more actions may then be taken regarding the identified information items, including to categorize the items by adding textual representations of the spoken information items to one or more of multiple predefined lists or other collections of information that are specific to or otherwise available to the user.