Situational Decision Engine Contextual User Experience
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Solution Overview
Problem
Mobile devices typically provide information based on user navigation rather than their surroundings and context, missing opportunities for contextually relevant content delivery that aligns with users' situations, which limits the effectiveness of marketing and promotional efforts.
Innovation Solution
A situational decision engine (SDE) architecture that captures user context and situational characteristics using GPS, RFID, and other onboard systems, analyzing user data to deliver relevant content and incentives based on their environment, situation, and historical interactions, incorporating a context system, scenario system, user interface, alerting system, incentive system, and user contribution and profile system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If information is provided based on user navigation and interface configuration, then users can access general information, but the information is not contextually relevant to users' situations and environment
Solution Approach 1:
The system segments context capture into multiple independent modules: GPS for location, RFID for proximity detection, accelerometer for motion state, and other sensors. Each module independently captures specific contextual parameters, which are then integrated by the decision engine to deliver contextually relevant information without overwhelming system complexity
Solution Approach 2:
A situational decision engine acts as an intermediary layer between raw context data from various sensors and the information delivery system. This mediator analyzes contextual parameters, determines user situation, and selectively triggers relevant information delivery, thereby managing complexity while enabling contextual adaptability
2Loss of information
If context capture systems are integrated into mobile devices, then situational awareness is improved, but device complexity and resource consumption increase
Solution Approach 1:
The system uses multi-functional sensor modules that serve multiple purposes. For example, the GPS system not only provides location information but also contributes to determining user mobility state and contextual situation. This universal approach maximizes information gain from each sensor while minimizing the number of dedicated components needed
Solution Approach 2:
Contextual parameters are captured and pre-processed in advance by the situational decision engine, which maintains a running model of user situation. This preliminary action allows the system to have situational awareness ready before information delivery is needed, reducing real-time processing complexity while maintaining comprehensive context information
3Productivity
If contextual analysis is performed to deliver relevant content, then marketing effectiveness is improved, but processing time and computational resources increase
Solution Approach 1:
The situational decision engine continuously analyzes contextual parameters and pre-determines user situation in advance. By maintaining an updated model of user context and pre-identifying relevant information categories, the system is ready to deliver appropriate content immediately when triggered, thus improving marketing effectiveness without incurring processing delays at the moment of delivery
Solution Approach 2:
The system dynamically adjusts its analysis depth and information delivery based on current situational confidence and user state. When contextual parameters clearly indicate a specific situation, the system quickly delivers pre-determined relevant content. When context is ambiguous, the system performs deeper analysis or waits for additional parameters, optimizing processing time based on real-time conditions
Data Source
AI summary
A situational decision engine (SDE) operates within a mobile device or server to present a user with display content specifically optimized to the user's present situation. By acquiring characteristics about the user's present situation, the SDE is capable of analyzing the general state of the user and make decisions about presenting information with situational relevance. With the SDE, promoters and marketing firms may target user incentives and present the incentives based on a correlation of incentive features and the users context. After acquiring key characteristics of a user's context, the SDE analyzes and determines an optimal correlation to available incentives. By optimizing the matching of a promotion, an ad, or a survey to the user's situation, maximum benefit to both user and the promoter may be realized. By analyzing a user's context and presenting display content accordingly, the SDE is able to optimize the user's experience.