Digital Avatar for Empathy via Dynamic Attribute Modification
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Solution Overview
Problem
People face difficulties in relating and communicating with individuals from diverse backgrounds, cultures, and personalities, particularly in cross-cultural interactions, differing political beliefs, and situations where one person's decisions impact others without understanding their lived experiences.
Innovation Solution
A system and method that uses a neural network to generate a digital avatar simulating human behavior, allowing users to interact in virtual reality, with the avatar initially similar to the user and gradually modified to represent a target background, facilitating behavioral empathy and understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a digital avatar is created with attributes similar to the user, then the user feels comfortable and can easily interact with it, but the avatar cannot provide empathy and understanding towards different backgrounds
Solution Approach 1:
The digital avatar's attributes are made dynamic and modifiable over time. The system allows progressive modification of avatar attributes (age, race, gender, income, education) from similar to dissimilar, enabling the avatar to adapt its representation while maintaining user comfort through gradual transition
Solution Approach 2:
The system preliminarily creates an avatar with similar attributes to establish user comfort and trust before progressively modifying it to represent different backgrounds. This preliminary similar-state avatar serves as a foundation for subsequent empathy-building modifications
2Adaptability or versatility
If a digital avatar is created with attributes different from the user, then the avatar can represent diverse backgrounds, but the user finds it difficult to relate to and interact with it
Solution Approach 1:
The system uses dynamic attribute modification where the avatar transitions from similar to dissimilar attributes over time, rather than being statically different from the user. This gradual dynamic change maintains user comfort while achieving diversity representation
Solution Approach 2:
The system uses an intermediary approach by creating a progression of avatar states between the user's own attributes and the target different background. This intermediary progressive modification serves as a bridge, making the interaction easier while still achieving empathy towards different backgrounds
3Adaptability or versatility
If the avatar attributes are modified rapidly to represent different backgrounds, then empathy and understanding can be achieved quickly, but the user may become uncomfortable or lose trust in the avatar
Solution Approach 1:
The system applies periodic or incremental modifications to avatar attributes rather than rapid single-step changes. The progressive modification through multiple time steps maintains user trust while achieving empathy, allowing the user to adapt to each gradual change
Solution Approach 2:
The system cushions the transition by progressively modifying attributes over time rather than abrupt changes. This beforehand gradual transformation prepares the user for the changes, maintaining trust and comfort while achieving the goal of representing different backgrounds
4Reliability
If the avatar attributes are modified slowly to maintain user comfort, then user trust is maintained, but the process of achieving empathy and understanding takes longer
Solution Approach 1:
The system uses periodic incremental modifications that balance speed and trust. By making regular progressive changes rather than waiting for slow natural adaptation, the system achieves empathy efficiently while maintaining user comfort through the structured gradual transition
Data Source
AI summary
A method to generate a digital avatar simulating a human for behavioral empathy and understanding is described. The method includes training a neural network to generate the digital avatar to simulate the human according to a vector of human attributes and generate responses in response to interactions with a user based on the vector of human attributes. The method also includes interacting, by the user, with the digital avatar, in which the digital avatar initially having a similar background and attributes as the user. The method further includes modifying, over time, the attributes of the digital avatar to represent a target background and a target set of attributes different from the user.


