Apple inc. (20240211108). DIGITAL ASSISTANT USER INTERFACES AND RESPONSE MODES simplified abstract

DIGITAL ASSISTANT USER INTERFACES AND RESPONSE MODES

Organization Name

apple inc.

Inventor(s)

Neal Ellis of San Francisco CA (US)

Rebecca P. Fish of San Francisco CA (US)

James E. Palmer of San Jose CA (US)

Patchaya Beam Seilaudom of Palo Alto CA (US)

Richard R. Dellinger of San Jose CA (US)

Pedro Mari of Santa Cruz CA (US)

Ieyuki Kawashima of Pleasanton CA (US)

Andrew P. Tennant of San Jose CA (US)

Peter Bohac of San Jose CA (US)

Ping Fang Zhao of San Francisco CA (US)

David Padawer of Sunnyvale CA (US)

Tyler C. Leppek of Santa Cruz CA (US)

Laurie J. Vertelney of Palo Alto CA (US)

Shweta D. Grampurohit of Santa Clara CA (US)

DIGITAL ASSISTANT USER INTERFACES AND RESPONSE MODES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240211108 titled 'DIGITAL ASSISTANT USER INTERFACES AND RESPONSE MODES

Simplified Explanation: The patent application describes a process where a digital assistant on an electronic device responds to natural language inputs by selecting a response mode based on context information and presenting the response package accordingly.

Key Features and Innovation:

• Receiving natural language input and initiating the digital assistant.
• Obtaining a response package responsive to the input.
• Selecting a response mode based on context information.
• Presenting the response package according to the selected response mode.

Potential Applications: This technology can be applied in various electronic devices such as smartphones, tablets, and smart speakers to enhance user interactions with digital assistants.

Problems Solved: This technology addresses the need for digital assistants to adapt their response modes based on context information to provide more relevant and effective responses to user queries.

Benefits:

• Improved user experience with digital assistants.
• More personalized and contextually relevant responses.
• Enhanced efficiency in communication with digital assistants.

Commercial Applications: Potential commercial applications include integrating this technology into smart home devices, customer service chatbots, and virtual assistants for businesses to improve customer interactions and streamline communication processes.

Prior Art: Readers can start searching for prior art related to context-aware digital assistants, natural language processing, and adaptive response modes in digital assistant technologies.

Frequently Updated Research: Stay updated on research related to context-aware digital assistants, natural language processing advancements, and user interaction with virtual assistants for the latest developments in this field.

Questions about Context-Aware Digital Assistants: 1. How does context information improve the responses of digital assistants? 2. What are the potential challenges in implementing context-aware response modes in digital assistant technology?

Original Abstract Submitted

an example process includes: at an electronic device with one or more processors, a memory, and a display: receiving a natural language input; initiating the digital assistant; in accordance with initiating the digital assistant, obtaining a response package responsive to the natural language input; after receiving the natural language input, selecting, based on context information associated with the electronic device, a first response mode of the digital assistant from a plurality of digital assistant response modes; and in response to selecting the first response mode, presenting, by the digital assistant, the response package according to the first response mode.