Context-Aware Automated Response Selection for Mobile Devices
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Solution Overview
Problem
Existing automated response systems for smartphones lack flexibility in programming various automatic response messages and do not adequately utilize contextual intelligence to determine appropriate responses based on connected peripherals or networks, which is particularly problematic for preventing distracted driving.
Innovation Solution
A software-mediated system that allows for peripheral or network-specific selection of automated response messages by associating different responses with unique identification codes of connected peripherals or networks, enabling context-aware automatic responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If automated response systems use fixed, pre-programmed messages, then system complexity is reduced, but adaptability to different contexts and peripherals deteriorates
Solution Approach 1:
The automated response system segments the single response message into multiple context-specific messages. Each message is associated with specific peripheral devices or network conditions, allowing the system to select appropriate responses based on the current context without requiring complex real-time analysis.
Solution Approach 2:
The system performs preliminary configuration by pre-associating multiple response messages with different peripheral devices and network conditions before operation. This advance preparation enables the system to quickly select appropriate responses during operation without complex real-time decision-making, resolving the contradiction between simplicity and adaptability.
2Speed
If automated response systems lack contextual intelligence, then processing speed is improved, but response accuracy and appropriateness deteriorates
Solution Approach 1:
The system uses the computerized system's own peripheral connection status and network conditions as the basis for selecting response messages. This self-service approach allows the system to automatically determine appropriate responses based on its own state without requiring external contextual analysis, maintaining fast processing while improving accuracy.
3Ease of operation
If no peripheral-specific response selection is implemented, then ease of operation is improved, but ability to prevent distracted driving deteriorates
Solution Approach 1:
The system applies local quality by associating different response messages with specific peripheral devices based on their local characteristics and usage contexts. For example, messages are tailored for specific car audio systems, Bluetooth headsets, or network conditions, making the prevention of distracted driving more effective without complicating user interaction.
Data Source
AI summary
Software and computer processor implemented system and method of providing customized automated responses to different types of incoming electronic messages from various contact sources, particularly useful for preventing distracted driving or distractions at a place of work or at a place of rest and relaxation. Here the invention's software, often in the form of an app, runs on a smartphone or other computerized device configured to automatically connect to various devices, such as automobile associated Bluetooth peripherals or WiFi access points/routers. When operating, the app causes active connections to automatically trigger auto response mode in response to incoming messages. Optionally, different automated responses to be assigned to different connected device identification codes or different incoming message originators. Various prioritization schemes, such as last active connection dominates, and various ways in which different contact specific automated responses may interact with various device specific automated responses, are also discussed.