Mood Synthesis Engine for Context-Aware Communication Management
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Solution Overview
Problem
Current communication systems lack effective methods to manage interactions between individuals and entities based on real-time availability and receptiveness, leading to inefficient communication attempts and potential disturbances.
Innovation Solution
A synthesis engine and negotiation engine system that collects data on an individual's behavior, synthesizes a mood measure, and negotiates communication access by using multidimensional representations and metaphors to manage requests from entities, allowing for tailored interaction strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional presence systems are used to track availability, then basic online/away/offline status can be provided, but the system cannot effectively manage communication interactions based on real-time receptiveness and context
Solution Approach 1:
The patent segments the monolithic presence system into multiple specialized engines: a synthesis engine that processes behavioral data into mood measures, a negotiation engine that manages communication requests, and a presence system that displays status. This segmentation allows each component to specialize in specific tasks, improving overall adaptability while organizing complexity into manageable modules.
Solution Approach 2:
The patent introduces an intermediary negotiation engine that acts as a mediator between external communication requests and the individual's current state. This intermediary analyzes mood measures and contextual data to automatically negotiate appropriate access levels, enabling sophisticated communication management without requiring direct complex interactions between users and the underlying system.
2Object-affected harmful factors
If communication requests are freely accepted based on simple presence status, then communication efficiency may be maintained, but unwanted disturbances and interruptions occur
Solution Approach 1:
The patent implements feedback loops where the synthesis engine continuously monitors behavioral data (keystrokes, mouse movements, application usage) and updates mood measures in real-time. This feedback mechanism allows the negotiation engine to dynamically adjust communication access decisions based on current individual state, reducing unwanted disturbances while maintaining productivity by allowing appropriate communications through.
Solution Approach 2:
The system performs preliminary analysis of communication requests against synthesized mood measures before allowing interactions to occur. The negotiation engine pre-evaluates incoming requests by comparing them with the individual's current behavioral state and contextual data, making advance decisions about appropriate access levels to prevent disturbances before they occur rather than reacting after interruptions happen.
3Measurement precision
If detailed behavioral data is collected to determine mood and receptiveness, then personalized communication management is achieved, but data collection and processing complexity increases
Solution Approach 1:
The synthesis engine operates autonomously to collect, process, and synthesize behavioral data into mood measures without requiring manual input or intervention. It automatically monitors keyboard strokes, mouse movements, application windows, and other behavioral indicators, then self-generates contextual data and mood assessments. This self-service capability achieves precise measurement while reducing the burden of manual data collection and processing.
Data Source
AI summary
A system that incorporates teachings of the present disclosure may include, for example, a synthesis engine having a controller, and a storage medium for storing instructions to be executed by the controller. The instructions, when executed by the controller, can cause the controller to retrieve collected information associated with a behavior of an individual, synthesize from the information a measure of a mood of the individual to interact with others, and transmit the measure to a system associated with the individual to manage requests between the individual and the entity. The measure of the mood of the individual can indicate an availability of the individual and a receptiveness of the individual to accept a request to interact with an entity. The measure can be described by a plurality of dimensions. Other embodiments are disclosed.