Social Robot Personality Profiling for Character-Based Behavior Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods lack the ability to systematically endow social robots with interesting and varied personalities, similar to those portrayed by skilled actors and content creators, and to control their operation to express distinctive and engaging personalities.
Innovation Solution
A method and apparatus for controlling social robots by mapping robot behaviors to quantitative personality trait values using personality profiling functions, allowing for the integration of personality traits from character portrayals in fiction, dramatic performances, or real-life individuals, and using a decision engine to control social responses based on these traits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If social robots use standard programming for personality, then they can be manufactured with consistent basic functionality, but they exhibit predictable and less interesting personalities
Solution Approach 1:
The patent segments personality into discrete quantifiable traits (e.g., extroversion, agreeableness, conscientiousness, emotional stability, openness) that can be independently controlled. This allows the robot to maintain standardized manufacturing processes while enabling diverse personality configurations through parameter adjustment, resolving the contradiction between manufacturing consistency and personality variety.
Solution Approach 2:
The patent applies parameter changes by modifying personality trait values within a standardized programming framework. By adjusting the quantitative parameters of personality traits, the same robot hardware can exhibit different personalities without requiring different manufacturing processes, thus maintaining ease of manufacture while achieving personality versatility.
2Adaptability or versatility
If social robots are programmed with complex personality models, then they can exhibit more interesting and varied personalities, but the device complexity increases
Solution Approach 1:
The patent introduces an intermediary layer - a personality mapping module that translates high-level personality trait parameters into specific behavioral decisions. This intermediary simplifies the programming complexity by providing an abstract interface between the personality model and the robot's action selection, allowing complex personality expression without directly complexifying the control architecture.
Solution Approach 2:
The patent copies established psychological personality models (such as the Big Five traits) into the robot's programming framework. By adapting existing, well-researched personality structures rather than creating new complex models from scratch, the system achieves sophisticated personality expression while leveraging proven theoretical frameworks, thereby managing programming complexity.
3Device complexity
If social robots use simplified personality programming, then the device complexity is reduced, but they cannot exhibit distinctive and engaging personalities
Solution Approach 1:
The patent adds another dimension to personality representation by using quantitative trait values instead of simple categorical labels. This dimensional approach allows for nuanced personality distinctions while maintaining computational efficiency, enabling distinctive character portrayal without proportionally increasing control system complexity.
4Adaptability or versatility
If social robots are designed to evoke emotional responses, then they become more engaging to interact with, but the difficulty of detecting and measuring their internal states increases
Solution Approach 1:
The patent replaces the need to detect and measure complex internal emotional states with a computational model that calculates personality trait values based on observable behaviors and contextual information. This substitution of direct measurement with computational inference reduces the difficulty of measurement while maintaining the ability to evoke and respond to emotional engagement.
Data Source
AI summary
A method and apparatus for controlling a social robot includes providing a set of quantitative personality trait values, also called a “personality profile” to a decision engine of the social robot. The personality profile is derived from a character portrayal in a fictional work, dramatic performance, or by a real-life person (any one of these sometime referred to herein as a “source character”). The decision engine controls social responses of the social robot to environmental stimuli, based in part on the set of personality trait values. The social robot thereby behaves in a manner consistent with the personality profile for the profiled source character.


