Auditory Interface for Media Exploration via Speech Recognition
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Solution Overview
Problem
Existing digital assistants on devices with limited or no display capabilities lack efficient auditory-based interfaces, limiting natural and intuitive interactions with users, and requiring repetitive user inputs for media exploration.
Innovation Solution
Implementing an electronic device with a digital assistant that receives natural-language speech inputs to identify media items, refine search requests, and adapt recommendations based on user preferences, providing an auditory-based interface that allows users to interact intuitively and efficiently without the need for visual prompts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional graphical user interfaces are used for media exploration, then users can visually select and navigate media content, but users with limited or no display capabilities cannot effectively interact with the device
Solution Approach 1:
The patent replaces the visual graphical user interface (mechanical/physical display system) with an auditory interface system that uses speech recognition and audio output. This substitution enables users with limited or no display capabilities to interact with media exploration functions through natural language speech inputs and audio-based feedback, making the system accessible to a broader range of users while maintaining operational efficiency
2Measurement precision
If repetitive user inputs are required for media exploration, then users can precisely control media selection, but user fatigue increases and power consumption rises
Solution Approach 1:
The patent implements a system where the digital assistant autonomously processes media exploration tasks by listening to user intent through speech recognition, automatically searching for and selecting media content based on that intent, and providing audio feedback about selections. This self-service approach eliminates the need for users to repeatedly input detailed search parameters or navigate through multiple selection screens, thereby reducing both user fatigue and power consumption while maintaining precise media selection through intelligent algorithms
3Loss of information
If visual prompts are used to guide users through media exploration, then users can easily understand available options, but users without display capabilities cannot access these guidance cues
Solution Approach 1:
The patent creates a universal interface system that functions effectively across different device types and user capabilities. The auditory interface with speech recognition can operate on devices with various display capabilities (from none to full-color displays), making the media exploration function universally accessible. The system delivers complete information about media options through audio descriptions, genre classifications, and contextual feedback, ensuring no information is lost regardless of display capabilities
4Ease of operation
If natural language processing is implemented for speech inputs, then user interaction becomes more intuitive, but processing complexity and computational requirements increase
Solution Approach 1:
The patent introduces a digital assistant as an intermediary layer between the user's natural language speech and the media exploration system. This intermediary handles the complex tasks of speech recognition, natural language interpretation, intent analysis, and media search execution, while presenting a simple, intuitive interface to the user through natural conversational audio. The intermediary absorbs the computational complexity and system integration challenges, allowing the user to interact intuitively without directly engaging with the underlying system complexity
Data Source
AI summary
Systems and processes for operating an intelligent automated assistant are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, receiving a first natural-language speech input indicative of a request for media, where the first natural-language speech input comprises a first search parameter; providing, by a digital assistant, a first media item identified based on the first search parameter. The method further includes, while providing the first media item, receiving a second natural-language speech input and determining whether the second input corresponds to a user intent of refining the request for media. The method further includes, in accordance with a determination that the second speech input corresponds to a user intent of refining the request for media: identifying, based on the first parameter and the second speech input, a second media item and providing the second media item.