Social Robot Environmental Control Through User Mood Inference
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing social robots are limited in their ability to leverage both social and terminal potentials, failing to provide synergistic benefits to users by effectively mimicking human social behavior and interacting with users in a meaningful way.
Innovation Solution
A social robot system that includes processors, sensors, and a social expression component to analyze user behavior, derive mental state indicators, and select appropriate audio-visual content or environmental control actions based on social interaction, using algorithms to correlate user responses and generate data signals for electronic or mechanical outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If social robots are designed to mimic human social behavior and interact with users, then user engagement and satisfaction are improved, but the ability to perform terminal functions and provide synergistic benefits is limited
Solution Approach 1:
The social robot is designed to perform multiple functions by integrating both social interaction capabilities and terminal control functions. The robot can detect user behavior, determine mental states, and simultaneously provide social responses while controlling electronic devices in the environment, thereby achieving both user engagement and functional versatility.
Solution Approach 2:
The patent combines social behavior algorithms with environmental control capabilities in a single integrated system. The robot merges social interaction modules with terminal control modules, allowing it to seamlessly transition between social conversation and device control based on user needs, thus resolving the contradiction between social engagement and functional capability.
2Reliability
If social robots focus on social behavior functions, then emotional response from users is evoked, but the processing power and data capabilities are underutilized
Solution Approach 1:
The robot continuously monitors and analyzes user behavior in real-time, preliminarily determining mental states and preferences before users explicitly request actions. This allows the system to prepare and execute both social responses and terminal control actions proactively, fully utilizing processing power while maintaining reliable social behavior.
Solution Approach 2:
The system implements continuous feedback loops where user responses to social interactions are analyzed, and this data is used to improve both social behavior reliability and optimize terminal control functions. The feedback mechanism ensures high-quality social interaction while simultaneously leveraging processed data for enhanced productivity and user personalization.
3Measurement precision
If social robots are designed with comprehensive sensors and processors, then user behavior analysis is improved, but device complexity increases
Solution Approach 1:
The robot system is divided into modular components: sensor modules for detecting user behavior, processing modules for analyzing behavior and determining mental states, social interaction modules for generating appropriate responses, and control modules for executing terminal functions. This segmentation allows high measurement precision through specialized sensors while managing device complexity through modular architecture.
Data Source
AI summary
A method and apparatus for controlling a social robot includes operating an electronic output device based on social interactions between the social robot and a user. The social robot utilizes an algorithm or other logical solution process to infer a user mental state, for example a mood or desire, based on observation of the social interaction. Based on the inferred mental state, the social robot causes an action of the electronic output device to be selected. Actions may include, for example, playing a selected video clip, brewing a cup of coffee, or adjusting window blinds.