18691568. METHODS AND DEVICES RELATED TO EXPERIENCE-APPROPRIATE EXTENDED REALITY NOTIFICATIONS simplified abstract (Telefonaktiebolaget LM Ericsson (publ))
Contents
METHODS AND DEVICES RELATED TO EXPERIENCE-APPROPRIATE EXTENDED REALITY NOTIFICATIONS
Organization Name
Telefonaktiebolaget LM Ericsson (publ)
Inventor(s)
Konstantinos Vandikas of Solna (SE)
Kristijonas Cyras of San Jose CA (US)
Alexandros Nikou of Danderyd (SE)
Alessandro Previti of STOCKHOLM (SE)
METHODS AND DEVICES RELATED TO EXPERIENCE-APPROPRIATE EXTENDED REALITY NOTIFICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18691568 titled 'METHODS AND DEVICES RELATED TO EXPERIENCE-APPROPRIATE EXTENDED REALITY NOTIFICATIONS
Simplified Explanation:
The patent application describes a method for determining the most suitable notification type for delivering event notifications to a user based on their characteristics, relationships, emotional state, and local preferences using a machine learning model.
- User information, event information, emotional state predictions, and local preferences are taken into account to select the best notification type for the user.
- The method aims to enhance user experience by delivering notifications in a way that aligns with their emotional state and preferences.
Key Features and Innovation:
- Utilizes machine learning to recommend notification types based on user characteristics and event types.
- Predicts user emotional states to tailor notifications accordingly.
- Considers local preferences for different notification types, event types, and desired emotional states.
Potential Applications:
This technology can be applied in various industries such as social media, e-commerce, entertainment, and healthcare to improve user engagement and satisfaction.
Problems Solved:
Addresses the challenge of delivering notifications effectively by personalizing them based on user emotions and preferences.
Benefits:
- Enhances user experience by delivering notifications in a way that resonates with their emotional state.
- Increases user engagement and satisfaction by providing tailored notifications.
Commercial Applications:
Enhancing user engagement in social media platforms, improving customer experience in e-commerce websites, optimizing notifications in entertainment apps, and personalizing healthcare reminders.
Prior Art:
Further research can be conducted in the field of personalized notifications and emotional state prediction to explore existing technologies and methodologies.
Frequently Updated Research:
Stay updated on advancements in machine learning models for emotional state prediction and personalized notification delivery to enhance user experience.
Questions about Extended Reality Notification Types:
1. How does this technology improve user engagement compared to traditional notification methods? 2. What are the potential privacy concerns associated with collecting user emotional state data for notification personalization?
Original Abstract Submitted
A computer-implemented method (500) for determining, using a machine learning (ML) model, extended reality (XR) notification types for delivering notification of an event to a user is provided. The method includes receiving user information, wherein the user information includes user characteristics and relationships data; receiving event information, wherein the event information includes event type data; determining, using a machine learning (ML) model, recommended notification types for delivering notification of the event to the user and, for each recommended notification type, predicted emotional state information including a predicted emotional state of the user and a rating; receiving local preferences information for the user, wherein the local preferences information includes one or more of local preferences for different notification types, different event types, and different wanted emotional states; selecting the notification type for delivering the notification of the event to the user by comparing, for each recommended notification type, the predicted emotional state information and the local preferences information; and delivering the notification of the event to the user using the selected notification type.
