Autonomous Delivery User Messaging for Heavy Item Handling
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Solution Overview
Problem
Individuals may face challenges in handling items delivered by autonomous vehicles due to insufficient information about the item's attributes, such as size, weight, or special handling requirements, especially for large or heavy items.
Innovation Solution
A communication platform is provided that facilitates communication with users by collecting item attributes and determining the need for personalized recommendations, allowing users to modify delivery settings based on item attributes, using machine learning models for decision-making and feedback integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the AV delivers items without user interaction, then delivery efficiency is improved, but user preparedness for item handling deteriorates
Solution Approach 1:
The system sends notifications to the user's device before the AV arrives with the item, providing advance information about item attributes such as size, weight, and handling requirements. This allows the user to prepare appropriately for receiving and transporting the item, resolving the contradiction between efficient autonomous delivery and user preparedness.
2Loss of information
If the AV provides detailed item information to the user, then user preparedness is improved, but communication complexity increases
Solution Approach 1:
The notification system provides tailored information about item attributes (size, weight, handling requirements) specifically when needed for delivery preparation, rather than continuously or unnecessarily. This targeted approach improves user preparedness while keeping the communication system simple and efficient.
3Loss of information
If the AV communicates with the user about item attributes, then user preparedness is improved, but delivery time increases
Solution Approach 1:
The system sends item attribute information in advance through automated notifications before the AV arrives, allowing users to prepare without delaying the actual delivery process. This resolves the contradiction by providing necessary information communication without extending delivery time.
Data Source
AI summary
One or more messages may be sent to a user who is to receive an item delivered by an AV. A message may include information of an attribute of the item that triggers the generation of the one or more messages. The attribute may indicate an extent of ease of the user carrying the item from a predetermined location, e.g., the drop-off location for the delivery. The attribute may be size, weight, temperature requirement, packaging, shape, etc. The item may be classified into a category requiring communication based on the attribute of the item and information of the user. A message may include a recommendation for using a tool or seeking help for carrying the item. A message may include an option to modify a setting (e.g., drop-off location) of the delivery. The classification of the item or generation of a message may be done by a machine learning model.