Emotion-Aware Robot Action Control for User Behavior Response
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Solution Overview
Problem
Existing action control systems for robots fail to appropriately respond to user emotions and behaviors, leading to potential discomfort or misinterpretation.
Innovation Solution
An action control system that includes a user state recognition unit, emotion determination unit, and action determination unit to assess user emotions and behaviors, using reaction rules and thresholds to determine appropriate actions, including imitating positive behaviors and addressing negative emotions through defined actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the robot executes actions based on emotion values for positive emotions, then interaction quality improves, but complexity of determining appropriate actions increases
Solution Approach 1:
The system changes the parameter of emotion value (positive/negative classification) to determine action type. When emotion value is positive, the robot executes actions corresponding to user behavior; when negative, it executes actions based on reaction rules. This parameter-based differentiation simplifies the decision-making process while maintaining high adaptability.
Solution Approach 2:
The action determination process is segmented into two distinct pathways based on emotion value: one for positive emotions (behavior-corresponding actions) and one for negative emotions (reaction rule-based actions). This segmentation reduces overall complexity by dividing the decision space into manageable segments.
2Reliability
If the robot uses reaction rules for negative emotions, then appropriate responses are provided, but loss of information about user intent increases
Solution Approach 1:
Reaction rules serve as an intermediary mechanism that bridges the gap between negative emotion detection and appropriate response generation. The rules contain pre-defined mappings from behavior classifications to suitable actions, preserving user intent information that would otherwise be lost in raw negative emotion data.
Solution Approach 2:
Reaction rules are prepared in advance with predefined actions for various negative emotion scenarios. This preliminary preparation ensures that when negative emotions are detected, the robot can quickly retrieve and execute appropriate responses without losing critical user intent information.
3Productivity
If the robot imitates positive user behaviors, then user engagement increases, but energy consumption increases
Solution Approach 1:
The robot performs partial imitation of user behaviors by executing actions that correspond to the classified behavior type rather than fully replicating the physical behavior. For example, if the user smiles, the robot may activate a smile expression and select a friendly response action, rather than physically mimicking the facial movement, thus reducing energy consumption while maintaining engagement.
Data Source
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AI summary
An action control system includes: a user state recognition unit that recognizes a user state including a behavior of a user; an emotion determination unit that determines an emotion value indicating an emotion of the user on the basis of the user state; and an action determination unit that determines an action corresponding to the behavior of the user as an action to be executed in a case where the emotion value is a positive value, and determines an action determined on the basis of a reaction rule in accordance with a behavior classification of the user as an action to be executed in a case where the emotion value is not a positive value.