Apple inc. (20240303268). INTELLIGENT AUTOMATED ASSISTANT FOR MEDIA EXPLORATION simplified abstract
Contents
INTELLIGENT AUTOMATED ASSISTANT FOR MEDIA EXPLORATION
Organization Name
Inventor(s)
David Chance Graham of Columbus OH (US)
Cyrus Daniel Irani of Menlo Park CA (US)
Aimee Piercy of Mountain View CA (US)
Thomas Alsina of Saratoga CA (US)
INTELLIGENT AUTOMATED ASSISTANT FOR MEDIA EXPLORATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240303268 titled 'INTELLIGENT AUTOMATED ASSISTANT FOR MEDIA EXPLORATION
Simplified Explanation: The patent application describes systems and processes for operating an intelligent automated assistant that can understand natural language speech inputs to provide media items based on user requests.
- The method involves receiving a first natural-language speech input with a search parameter for media, providing a first media item based on this input, and then refining the request based on a second speech input from the user.
- If the second input indicates a user intent to refine the request, the system identifies and provides a second media item that better matches the user's refined request.
Key Features and Innovation:
- Intelligent automated assistant that understands natural language speech inputs.
- Ability to provide media items based on user requests and refine them based on subsequent user inputs.
Potential Applications: This technology can be used in smart devices, virtual assistants, and media streaming services to enhance user experience by accurately providing requested media items.
Problems Solved:
- Improves user interaction with automated assistants by refining media requests based on user inputs.
- Enhances the efficiency and accuracy of media item recommendations.
Benefits:
- Enhanced user experience with intelligent automated assistants.
- More accurate and personalized media recommendations.
- Improved efficiency in fulfilling user requests for media items.
Commercial Applications: Potential commercial applications include smart speakers, mobile devices, streaming services, and virtual assistant platforms. This technology can improve user engagement and satisfaction, leading to increased usage and customer loyalty.
Prior Art: Readers can explore prior art related to natural language processing, automated assistants, and media recommendation systems to understand the evolution of similar technologies.
Frequently Updated Research: Stay updated on advancements in natural language processing, machine learning, and user interaction technologies to enhance the capabilities of intelligent automated assistants.
Questions about Intelligent Automated Assistants: 1. How does natural language processing technology improve user interactions with automated assistants? 2. What are the key challenges in refining media requests based on user inputs for intelligent automated assistants?
Original Abstract Submitted
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.
