Apple inc. (20240338173). PROACTIVE SURFACING AND PERFORMANCE OF CONTEXTUAL ACTIONS simplified abstract
Contents
PROACTIVE SURFACING AND PERFORMANCE OF CONTEXTUAL ACTIONS
Organization Name
Inventor(s)
Karan M. Daryanani of San Francisco CA (US)
Eddy Zexin Liang of Seattle WA (US)
Madhu Chinthakunta of Saratoga CA (US)
PROACTIVE SURFACING AND PERFORMANCE OF CONTEXTUAL ACTIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240338173 titled 'PROACTIVE SURFACING AND PERFORMANCE OF CONTEXTUAL ACTIONS
The abstract of the patent application describes systems and processes for operating an intelligent automated assistant. It involves providing updated information on a particular topic in response to user input, as well as proactively performing actions based on contextual data.
- Intelligent automated assistant systems and processes are provided in the patent application.
- The technology offers updated information on specific topics in response to user interactions.
- Actions can be identified and performed proactively based on contextual data, including visual context data.
Potential Applications: - Personalized virtual assistants for individuals - Enhanced customer service chatbots for businesses - Smart home automation systems
Problems Solved: - Providing timely and relevant information to users - Improving user experience with automated assistants - Enhancing efficiency in performing tasks based on contextual data
Benefits: - Increased user satisfaction with intelligent automated assistants - Time-saving through proactive actions based on context - Improved accuracy and relevance of information provided
Commercial Applications: Title: "Enhanced Virtual Assistant Technology for Personalized Customer Interactions" This technology can be utilized in various industries such as customer service, healthcare, and education to streamline processes and improve user interactions.
Prior Art: Prior art related to this technology may include research on artificial intelligence, natural language processing, and machine learning in the field of virtual assistants.
Frequently Updated Research: Stay updated on advancements in artificial intelligence, machine learning, and natural language processing to enhance the capabilities of intelligent automated assistants.
Questions about Intelligent Automated Assistant Technology: 1. How does this technology improve user interactions with virtual assistants? 2. What are the potential applications of this technology in different industries?
Original Abstract Submitted
systems and processes for operating an intelligent automated assistant are provided. in some embodiments, after providing an initial output with information on a particular topic, an output including updated information on the topic is provided in response to an input interacting with a digital assistant. in some embodiments, based on contextual data including visual context data, an action is identified and proactively performed.
