Robot Emotion Calculation Using Personality Factor Segmentation
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Solution Overview
Problem
Conventional robot emotion systems are limited in expressing emotions in a way that mimics human behavior, as they rely on simple, pre-defined mappings between external inputs and emotions, failing to capture the complexity and variability of human emotional responses.
Innovation Solution
A method and apparatus for calculating an internal state using the Revised NEO Personality Inventory (NEO PI-R) and the Five-Factor Model, which involves multiplying input values from sensors with personality factors to generate diverse emotional responses, incorporating stimulation reception, sensitivity, and durability to create dynamic emotional expressions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a simple 1:1 mapping between external inputs and emotions is used, then the device complexity is reduced, but the adaptability of emotional expression is worsened
Solution Approach 1:
The patent segments the emotion system into multiple independent components: external input processing, internal state calculation (with personality factors), and emotion expression. This segmentation allows each component to be optimized independently, enabling complex emotional adaptability without overwhelming system complexity.
Solution Approach 2:
The patent adds the dimension of internal state with personality factors to the traditional external input-output mapping. By introducing this intermediate dimension, the system transforms a simple 1:1 mapping into a many-to-many relationship, enabling diverse emotional expressions from the same external input based on different internal states.
2Ease of operation
If pre-defined simple emotions are used, then the ease of operation is improved, but the loss of information about human emotional complexity is worsened
Solution Approach 1:
The patent changes the parameters of emotion representation by introducing continuous personality factors (five-factor model) and internal state variables instead of discrete pre-defined emotions. This allows the system to maintain operational simplicity while capturing the continuous and nuanced nature of human emotional complexity.
3Reliability
If the same emotion is expressed for the same external input, then the reliability of emotion expression is improved, but the adaptability to different internal states is worsened
Solution Approach 1:
The patent implements feedback mechanisms where the calculated internal state (influenced by personality factors) feeds back into the emotion expression process. This ensures that the same external input can produce different emotions based on the robot's internal state, while maintaining consistent and reliable emotion expression for each specific internal state condition.
Data Source
AI summary
An apparatus and method for calculating an internal state for artificial emotions are disclosed, of which the method comprises multiplying an input value obtained from a sensor with a first personality set in accordance with at least one low rank element contained in at least one high rank element of a NEO PI-R (Revised NEO Personality Inventory); calculating a personality factor value in a Five-Factor Model of the personality by adding the results of the multiplication; and calculating the internal state by multiplying the personality factor value with a second personality.