Privacy-Aware Real-Time Messaging for Multi-Unit Property Displays
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Solution Overview
Problem
Current messaging approaches in multi-unit properties lack personalization and contextual awareness, leading to irrelevant messages and disengagement, and fail to cater to communal or group-oriented messaging needs.
Innovation Solution
A system that identifies user location and characteristics within a multi-unit property, determines points of interest, and tailors messages for display on various privacy-level devices, including public, semi-public, and private displays, ensuring contextually relevant and personalized communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional messaging approaches (physical notices, bulletin boards, email) are used, then implementation simplicity is maintained, but message relevance and personalization deteriorate
Solution Approach 1:
The messaging system segments communication into multiple channels (push notifications, in-app messages, email, SMS) and categorizes messages by priority and type. This allows the system to deliver personalized content through appropriate channels without requiring complete system overhaul, thus improving personalization while managing complexity through modular architecture.
Solution Approach 2:
The system dynamically adjusts messaging strategies based on user behavior patterns, preferences, and real-time context. Message delivery parameters (timing, channel selection, content customization) are continuously optimized based on user engagement data, enabling adaptive personalization that responds to changing user needs without requiring static complex infrastructure.
2Productivity
If push notifications are sent to personal devices, then direct user reach is improved, but message relevance and contextual awareness deteriorate
Solution Approach 1:
The system incorporates feedback loops that monitor user interaction with notifications and messages. By analyzing engagement data (open rates, click-through rates, time to read), the system refines its understanding of user preferences and adjusts future messaging strategies. This feedback mechanism enables contextual awareness to improve while maintaining efficient delivery through the same push notification channel.
Solution Approach 2:
The system changes messaging parameters (content, timing, channel, frequency) based on real-time user context and historical data. Instead of using static notification templates, the system dynamically adjusts parameters such as message content, optimal send time, and delivery channel based on user behavior patterns, thereby improving contextual relevance without sacrificing delivery efficiency.
3Ease of operation
If generic messages are sent to all tenants, then implementation simplicity is maintained, but user engagement and message relevance deteriorate
Solution Approach 1:
The system applies local quality by customizing message content and delivery parameters for specific user segments based on their preferences, behaviors, and contexts. Instead of uniform messaging, the system creates localized message variants tailored to different user groups (e.g., by property type, usage pattern, preferences), thereby improving message reception reliability while maintaining operational simplicity through automated segmentation.
Solution Approach 2:
The system performs preliminary actions by pre-segmenting users into cohorts based on their preferences and behaviors before message delivery. User profiles are built in advance through data collection and analysis, enabling personalized messages to be prepared and queued for optimal delivery timing. This preliminary user characterization allows reliable personalized messaging without requiring complex real-time decision-making during message send operations.
4Adaptability or versatility
If multiple display devices with different privacy levels are used, then message delivery versatility is improved, but system complexity and privacy management deteriorate
Solution Approach 1:
The system segments display devices into categories based on privacy levels (public, semi-public, private) and applies different message delivery strategies to each segment. By organizing the complex ecosystem of display devices into manageable privacy tiers, the system can standardize its privacy management approach while maintaining versatility across different device types and locations.
Solution Approach 2:
The system introduces an intermediary layer (message routing engine) that mediates between the messaging system and display devices with different privacy levels. This intermediary component handles the complexity of privacy management by automatically selecting appropriate messages and delivery methods based on device privacy characteristics, thereby simplifying privacy management while maintaining broad device compatibility.
Data Source
AI summary
Devices, systems, and methods for messaging a user of a multi-unit property are provided. An example method includes identifying a current location of a user located within a multi-unit property, identifying a user characteristic of the user, determining a point of interest (POI) for the user, based on the identified user characteristic and the current location of the user, identifying at least one first display device in proximity to the user, determining a first privacy level of the first display device, generating at least one first message related to the determined POI, and the at least one first message has a first message sensitivity level corresponding to the first privacy level. The method further includes transmitting the at least one first message to the first display device and causing the first display device to display the first message for the user to view.