The Infrastructure Layer for Emotionally Intelligent AI
SOHMA provides the emotional intelligence layer that enables AI systems to interpret interaction dynamics and adapt behaviour during human-AI engagement.
By modelling behavioural regulation and emotional context during interaction, SOHMA guides how AI systems respond across digital environments.
From Human Interaction to Emotionally Intelligent AI
AI systems increasingly interact with people across digital environments. During these interactions, humans continuously express behavioural signals — through pacing, hesitation, exploration, disengagement, and recovery.
These signals reflect how people regulate attention, uncertainty, and emotion during interaction. SOHMA captures and interprets these interaction patterns to guide how AI systems respond in real time.
Interaction Environments
Digital environments such as games, learning platforms, wellbeing systems, and conversational interfaces generate rich interaction dynamics during real human activity.
The SOHMA Emotional Intelligence Layer
SOHMA processes interaction dynamics to identify patterns that reflect how humans regulate behaviour during interaction.
- hesitation and response pacing
- engagement and disengagement patterns
- behavioural escalation and stabilisation
- recovery following uncertainty
Adaptive AI Behaviour
The SOHMA layer enables AI systems to respond more appropriately to human interaction dynamics by adjusting pacing, modifying support, adapting challenge, and stabilising interaction when needed.
A Layer Between Human Interaction and Adaptive AI Behaviour
Human Interaction
People engage with games, learning systems, wellbeing tools, and conversational interfaces.
Behavioural Signals
Pacing, hesitation, engagement, disengagement, escalation, and recovery emerge during interaction.
SOHMA Emotional Intelligence Layer
Interaction dynamics are translated into structured indicators that guide AI behaviour.
Adaptive AI Behaviour
AI systems adjust support, pacing, challenge, and interaction style in response to behavioural context.
The Emotional Intelligence Infrastructure Layer
SOHMA provides the emotional intelligence layer that enables AI systems to interpret interaction dynamics during human-AI engagement.
The technology models how humans regulate behaviour and emotion during interaction — and guides how AI systems should respond.
Core Capabilities
- behavioural interaction modelling
- emotional context inference
- adaptive response orchestration
- transparent interaction logging and auditing
Integration
The SOHMA layer is designed as infrastructure that integrates into environments where humans interact with AI systems, including:
- games and interactive media
- learning platforms
- wellbeing and digital health systems
- conversational interfaces
- future adaptive and agentic AI systems
Building the layer that helps AI systems interact more appropriately with people
Together, these capabilities allow AI systems to move beyond static responses and interact with people in ways that reflect behavioural context, emotional dynamics, and human regulation during interaction.
