Message Delivery Location Selection Based on Intent and Predicted Position
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Solution Overview
Problem
Current message delivery systems lack the ability to selectively deliver messages based on the recipient's current and predicted locations, leading to inappropriate message receipt, such as receiving personal messages during work hours unless it's an emergency.
Innovation Solution
An apparatus and method that determine a plurality of locations, including current and predicted future locations, and select a message delivery location based on message intent and location feature data, ensuring messages are delivered when the recipient is in a suitable context, such as altering message content or using virtual reality components appropriate for the selected location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If messages are delivered immediately after sending, then message delivery speed is improved, but message appropriateness deteriorates
Solution Approach 1:
The system performs preliminary actions by determining multiple predicted future locations of the recipient before message delivery, and pre-selects appropriate delivery locations based on message intent and location features. This advance preparation allows the system to deliver messages at optimal times without delaying delivery, resolving the contradiction between speed and appropriateness.
Solution Approach 2:
The system dynamically selects message delivery locations from multiple predicted locations based on message intent and location feature data. Instead of a fixed immediate delivery approach, the system adapts delivery timing and location selection to match the recipient's context, maintaining fast delivery while ensuring appropriateness.
2Adaptability or versatility
If messages are delivered at any location, then delivery flexibility is improved, but recipient engagement deteriorates
Solution Approach 1:
The system applies local quality by selecting specific delivery locations based on their unique features and the message intent. Different locations are evaluated for their suitability for different types of messages, ensuring that messages are delivered in contextually appropriate settings rather than using a one-size-fits-all approach.
Solution Approach 2:
The system changes delivery parameters by selecting from multiple predicted locations based on message intent and location features. This parameter-based selection ensures that delivery flexibility is maintained while recipient engagement is improved through contextually appropriate delivery timing and location selection.
3Reliability
If location-based delivery selection is implemented, then message appropriateness is improved, but system complexity increases
Solution Approach 1:
The system segments the delivery decision process into distinct components: determining predicted locations, obtaining location feature data, analyzing message intent, and selecting delivery locations. This segmentation makes the complex system more manageable and implementable while maintaining high message appropriateness through systematic evaluation of multiple factors.
Data Source
AI summary
An apparatus, method and computer program for receiving a first message, wherein the first message is sent by a sender to a recipient; determining a plurality of locations of the intended recipient, wherein the plurality of locations comprise at least a current location and one or more predicted future locations of the recipient; obtaining location feature data for one or more locations of the plurality of locations of the recipient; and determining at least one message delivery location for the first message based on at least a message intent of the first message and the location feature data, wherein the at least one message delivery location is selected from the plurality of locations of the recipient.