Cross-device Conversational Interface for Hands-free Item Search
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Solution Overview
Problem
Existing systems for item search are limited by their reliance on graphical user interfaces, requiring significant processing power, memory, and network bandwidth, and struggle to provide accurate recommendations that capture user emotions, moods, and lifestyle aspirations through traditional term-based searches.
Innovation Solution
Implementing a conversational user interface on a personal assistant device that receives speech input, analyzes search terms, and generates recommendations based on criteria, content, or collaborative algorithms, transmitting these recommendations to associated output devices for presentation, thereby reducing the need for graphical interfaces and enhancing user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional graphical user interfaces are used for item search, then users can interact with search systems, but processing power, memory, and network bandwidth requirements increase significantly
Solution Approach 1:
The patent replaces the mechanical graphical user interface system with an acoustic speech-based interaction system. The conversational user interface allows users to search for items using natural speech commands, eliminating the need for complex graphical rendering and interaction processing. This substitution significantly reduces processing power, memory, and network bandwidth requirements while maintaining ease of operation.
2Productivity
If traditional term-based search is used, then search functionality is provided, but accuracy in capturing user emotions, moods, and lifestyle aspirations is insufficient
Solution Approach 1:
The patent transforms the search parameter system from simple keyword matching to a multi-dimensional parameter analysis including speech tone, emotional context, lifestyle preferences, and collaborative filtering data. The conversational interface captures nuanced user expressions and translates them into refined search parameters, significantly improving the precision of matching user preferences with relevant items while maintaining search productivity.
3Loss of information
If graphical user interfaces are implemented on all devices, then comprehensive data presentation is achieved, but device complexity and resource requirements increase
Solution Approach 1:
The patent extracts the data presentation function from the input device (which lacks display capabilities) and relocates it to separate output devices equipped with displays. The conversational user interface on the input device handles information gathering and processing, while connected output devices handle visual presentation. This separation eliminates the need for graphical interface implementation on resource-constrained input devices, reducing device complexity while preserving comprehensive data presentation capability.
Data Source
AI summary
Techniques are described for cross-device presentation. During a speech interaction with a conversational user interface (CUI) executing on an input device, such as a personal assistant (PA) device or other computing device, a user may utter one or more search terms to search for an item, such as a vehicle to purchase. The search term(s) may be employed by a search engine to identify one or more items that correspond to the search term(s). The search engine can generate recommendation information that includes a description of the item(s) corresponding to the search term(s). The recommendation information can be communicated to an output device that is registered to, or otherwise associated with, the user who spoke the search term(s) to the input device. In some instances, the recommendation information can be presented through speech output on the PA device or other device.