Context-Dependent Reaction Agent for Human-Like Adaptive Responses
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Solution Overview
Problem
Current virtual assistants and robots lack adaptive personalities and are unable to respond in a human-like manner, as they rely on pre-programmed instructions and fail to mimic human behavior in diverse contexts without prior programming.
Innovation Solution
A computing device equipped with a reaction agent and reaction engine that generates and retrieves reaction data from a data store based on context data, allowing it to mimic human responses by correlating observed human reactions with operational contexts, enabling adaptive responses without pre-programming for specific situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pre-programmed instructions are used to control virtual assistants and robots, then device complexity is reduced and ease of manufacture is improved, but adaptability and ability to mimic human behavior deteriorate
Solution Approach 1:
The system performs preliminary actions by collecting and storing human reaction data in advance across multiple contexts. Reaction records are pre-generated and stored in a data store, allowing the robot to quickly retrieve and apply appropriate reactions without complex real-time processing. This enables adaptability through pre-prepared human-like responses that can be deployed as needed.
2Adaptability or versatility
If pre-programmed instructions are used, then ease of operation is improved, but the ability to respond in diverse contexts without pre-programming deteriorates
Solution Approach 1:
The reaction engine serves multiple functions: it retrieves reaction data, determines appropriate reactions, and outputs human-like responses across diverse contexts. The system uses a universal reaction data structure that can handle various types of human reactions (facial expressions, body language, vocal qualities) in different contexts, making the system versatile without requiring separate programming for each scenario.
3Reliability
If human-like adaptive behavior is implemented, then the ability to mimic human responses is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system creates copies of human reactions by storing reaction data that captures human behavior patterns. Instead of implementing complex models of human cognition, the system copies observed human responses across multiple contexts and retrieves appropriate copies when needed. This allows reliable human-like responses without the complexity of modeling human decision-making processes.
Data Source
AI summary
Computer-readable storage media, apparatuses, and methods associated with context dependent reactions derived from human responses are disclosed herein. An apparatus may, in some embodiments, include a communication module and a reaction agent. The reaction agent may be configured to transmit, via the communication module, a request to a remote data source. The request may include context data indicative of an operational context of the apparatus. The reaction agent may receive, in response to the request, via the communication module, reaction data for the apparatus to react to the operational context. In embodiments, the reaction data may be derived from previous observations of human response to a context similar to the operational context indicated by the context data of the request. Other embodiments may be described and/or claimed herein.