Samsung electronics co., ltd. (20240354350). SYSTEMS AND METHODS FOR SMART CAPTURE TO PROVIDE INPUT AND ACTION SUGGESTIONS simplified abstract

SYSTEMS AND METHODS FOR SMART CAPTURE TO PROVIDE INPUT AND ACTION SUGGESTIONS

Organization Name

samsung electronics co., ltd.

Inventor(s)

Naresh Purre of Bengaluru (IN)

Sriram Shashank of Bengaluru (IN)

Sri Lakshmi Punuru of Bengaluru (IN)

Barath Raj Kandur Raja of Bengaluru (IN)

Vanraj Vala of Bengaluru (IN)

Aayush Yadav of Bengaluru (IN)

Aditi Anil Kagane of Bengaluru (IN)

Sudeep Kumar Kodali of Bengaluru (IN)

Rishabh Kumar of Bengaluru (IN)

Srinivasa Rao Siddi of Bengaluru (IN)

Manjunath Bhimappa Ujjinakoppa of Bengaluru (IN)

Mansoor Variyathapara Mohammed of Bengaluru (IN)

Hemant Tiwari of Bengaluru (IN)

Dwakara Bhamidipati Sreevatsa of Bengaluru (IN)

Ankita Bhardwaj of Bengaluru (IN)

Vipin Rao of Bengaluru (IN)

Likhith Amarvaj of Bengaluru (IN)

Vibhav Agarwal of Bengaluru (IN)

Yashwant Singh Saini of Bengaluru (IN)

Himanshu Arora of Bengaluru (IN)

Muthu Kumaran of Bengaluru (IN)

Seungseok Kang of Suwon-si (KR)

Sanguk Jeon of Suwon-si (KR)

Jaehoon Park of Suwon-si (KR)

Pilsik Choi of Suwon-si (KR)

Hojun Jaygarl of Suwon-si (KR)

Shweta Ratanpura of Bengaluru (IN)

Mritunjai Chandra of Bengaluru (IN)

SYSTEMS AND METHODS FOR SMART CAPTURE TO PROVIDE INPUT AND ACTION SUGGESTIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240354350 titled 'SYSTEMS AND METHODS FOR SMART CAPTURE TO PROVIDE INPUT AND ACTION SUGGESTIONS

Simplified Explanation: The patent application describes systems and methods that provide input suggestions to users on their devices to enhance user experience. These suggestions can include filling information from one app to another, performing searches, responding to messages, sharing data between apps, and suggesting emojis/gifs.

Key Features and Innovation:

• Input suggestions to improve user experience on devices
• Fill information from one app to another
• Perform searches without manual data entry
• Respond to messages/notifications
• Share data between apps seamlessly
• Provide emojis/gifs for user use

Potential Applications: This technology can be applied in various industries such as mobile applications, messaging platforms, social media, and productivity tools to enhance user experience and streamline interactions between apps.

Problems Solved: This technology addresses the issue of manual data entry, switching between apps to share information, and improving overall user experience by providing relevant input suggestions.

Benefits:

• Enhanced user experience
• Increased efficiency in data sharing between apps
• Reduced manual data entry
• Seamless integration of emojis/gifs for user communication

Commercial Applications: This technology can be utilized in mobile app development, messaging platforms, social media networks, and productivity tools to enhance user engagement, improve user retention, and increase overall user satisfaction.

Prior Art: Prior art related to this technology may include research on user interface design, natural language processing, and data integration in mobile applications.

Frequently Updated Research: Stay updated on advancements in natural language processing, user experience design, and mobile app development to enhance the capabilities of this technology.

Questions about input suggestions technology: 1. How does this technology improve user experience on devices? 2. What are the potential commercial applications of this technology?

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Original Abstract Submitted

example systems and methods provide input suggestions to a user to improve user experience on user devices. the input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/gifs that can be used by the user. the method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. the recommendation can be a connected action or an input suggestion.