Shared AI Personality for Continuous Remote Interaction
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Solution Overview
Problem
Current distance communication technologies often lead to interruptions or disconnections, causing perceptions of disinterest and social isolation, especially in interactions involving smaller groups or individuals who require continuous guidance and engagement, such as parents and children, or between teachers and students, which can negatively impact task completion and emotional learning.
Innovation Solution
The development of systems and methods to share an artificial intelligence personality (AIP) among multiple human interaction entities (HIEs), enabling continuous and ongoing connectedness through real-time and non-real-time communication experiences, allowing for intuitive machine companions with integrated knowledge bases and cumulative personalities that manage interactions, provide guidance, and facilitate reconnecting based on individual needs and circumstances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If distance communication tools are used to facilitate remote interactions, then communication efficiency is improved, but interruptions and disconnections occur causing social isolation and perceived disinterest
Solution Approach 1:
An artificial intelligence personality (AIP) acts as an intermediary between multiple human interaction entities (HIEs). The AIP is instantiated in each HIE and maintains a shared cumulative personality, enabling seamless handoffs and continuous interaction even when individual HIEs are interrupted or disconnected. The AIP picks up where previous interactions left off, maintaining the illusion of continuous presence.
Solution Approach 2:
The AIP serves multiple functions across different HIEs simultaneously. A single AIP can be instantiated in multiple devices (robots, toys, digital assistants), providing universal interaction capabilities across different platforms and contexts. This allows the same personality to engage with users through various channels without interruption.
2Productivity
If an individual needs to disconnect from remote communication to perform other tasks, then task completion is improved, but the other participant perceives disinterest and social isolation
Solution Approach 1:
The AIP is pre-instantiated in multiple HIEs before disconnection occurs. When one HIE needs to disconnect for tasks, the interaction seamlessly transitions to another HIE with the same AIP already prepared and waiting. This preliminary setup prevents any perception of abandonment or disinterest.
Solution Approach 2:
The shared AIP maintains continuous useful action across multiple HIEs. Even when individual HIEs are disconnected for task performance, the AIP remains active in other HIEs, providing ongoing engagement and interaction. The cumulative personality ensures continuity of the relationship without interruption.
3Reliability
If a parent wants to continuously guide and monitor a distant child during tasks, then emotional learning is improved, but the parent has insufficient time due to other commitments
Solution Approach 1:
The AIP creates a copy of the parent's interaction style and personality traits, instantiated in HIEs that can continuously engage with the child. This digital copy maintains the emotional connection and guidance function without requiring the parent's physical presence, freeing the parent's time while maintaining continuous engagement for the child.
Solution Approach 2:
The AIP autonomously manages the guidance and monitoring functions without requiring continuous parental intervention. The system self-regulates interactions, provides emotional support, and maintains engagement with the child independently, allowing the parent to fulfill other commitments while the AIP handles continuous guidance.
4Reliability
If artificial intelligence personality is shared among multiple HIEs, then continuous connectedness is improved, but system complexity increases
Solution Approach 1:
The system segments the AIP instantiation across multiple HIEs, with each HIE containing a local instance of the shared personality. This segmentation allows distributed deployment while maintaining the illusion of a single continuous interaction. The cumulative personality data is shared across segments to maintain consistency.
Data Source
AI summary
Systems and methods are described for time-sharing interactions using a shared artificial intelligence personality (AIP) incorporated within multiple human interaction entities (HIEs). An AIP is an understanding construct that may control a variety of communication experiences to support a sense of ongoing social connectedness. An AIP may be instantiated within two or more HIEs that interact with humans in a human, cartoon or pet-like manner. HIEs may include robots, robotic pets, toys, simple-to-use devices, and graphical user interfaces. The AIP may be periodically updated based on human interactions sensed by the HIEs as well as knowledge of historical and ongoing events. The systems may provide two or more users with intuitive machine companions that exhibit an expert knowledge base and a familiar, cumulative personality. HIEs may continue to operate without interruption in the presence of interruptions, and/or the absence of one or more human participants; allowing participants to “time-share” their sense of connectedness.