Personalized Taxonomy for Voice-Based User Device Interfaces
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Solution Overview
Problem
Voice-based user devices struggle with providing an efficient user experience when dealing with large taxonomies or a large number of items, as existing systems rely on standard taxonomies that can lead to degraded user interaction and are typically limited to graphical user interfaces for efficient handling.
Innovation Solution
A voice-based user device configuration that utilizes a personalized taxonomy and list generation based on user history and context, ranking categories and items by relevance, and generating text-to-speech content to guide the user through a sequential and relevant interaction, enabling voice interface efficiency comparable to graphical interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a standard taxonomy is used to organize items in a voice-based interface, then the system structure remains simple and standardized, but the user experience degrades when dealing with large numbers of items due to inability to efficiently navigate and discover items
Solution Approach 1:
The patent segments the large taxonomy into multiple lists, each containing a subset of items and categories. Instead of presenting the entire taxonomy at once, the system divides it into manageable portions that can be efficiently navigated through voice commands. This segmentation allows users to interact with smaller, more focused item sets rather than overwhelming them with the complete taxonomy structure.
Solution Approach 2:
The system performs preliminary actions by pre-processing the taxonomy to generate multiple organized lists before user interaction. These lists are prepared in advance with items and categories structured for optimal voice-based navigation. The preliminary organization of content into themed or contextually relevant lists enables faster user access and discovery without requiring complex real-time processing during interaction.
2Adaptability or versatility
If a voice-based interface is used for item interaction, then the device can be operated hands-free and remotely, but the efficiency of handling large taxonomies is reduced compared to graphical interfaces
Solution Approach 1:
The taxonomy is segmented into multiple focused lists that are better suited for voice-based navigation. Each list contains a manageable number of items and categories that can be efficiently spoken and heard, unlike graphical interfaces where users can visually scan large quantities of items simultaneously. This segmentation compensates for the limitations of auditory processing by organizing content into smaller, more voice-friendly units.
Solution Approach 2:
The patent transitions from the two-dimensional visual space of graphical interfaces to the temporal dimension of voice-based interaction. By organizing taxonomy into sequential lists with clear hierarchical structures, the system creates a time-based navigation path that replaces visual scanning. The lists are structured to guide users through items in a logical sequence that optimizes voice command efficiency and reduces interaction time.
3Loss of information
If the entire taxonomy is presented to the user at once, then complete information is available, but the user becomes overwhelmed and cannot efficiently navigate or discover items
Solution Approach 1:
The complete taxonomy information is preserved but segmented into multiple lists that are presented in a manageable format. Each list contains a subset of items and categories organized by specific criteria such as frequency of use, relevance to current context, or thematic grouping. This segmentation maintains full information availability while preventing user overload by presenting content in digestible portions that can be efficiently navigated through voice commands.
Solution Approach 2:
Different lists within the taxonomy are given different qualities or characteristics based on user needs and context. Some lists may be prioritized or highlighted based on user history, current task, or item importance. This local quality differentiation allows the system to present the most relevant information first while maintaining access to the complete taxonomy, optimizing both information availability and navigation efficiency for specific user contexts.
Data Source
AI summary
Techniques for enhancing functionalities of a voice-based user device are described. In an example a computer system generates, from a first taxonomy, a second taxonomy for a user based on an item purchase history. The computer system also identifies items based on this history and generates a list that associates the items with categories of the second taxonomy. Based on a user utterance, the computer system generates text-to-speech content from the list. This content includes category information and item information. The category information identifies a first category from the categories. The item information identifies a first item from the items, where this item is associated with the first category. The category information and the item information are presented to the user. The computer system adds an identifier of the first item to an item checkout process based on the presentation of the item information.