MENTAL HEALTH
GPT interprets voluntary language to estimate which mental-health concepts may be most relevant.
This becomes one input to adaptive content serving and, where appropriate, real time review via human in the loop.
Current Role
- Provides psychological context
- Interprets emotional language
- Supports evidence-informed reasoning
Current MVP
GPT analyses voluntary, opt-in conversations to estimate which mental health concepts may be most relevant.
Research Roadmap
Future versions may incorporate clinician review, validated assessments and privacy-first multimodal physiological signals.
MASLOW’S HIERARCHY
GPT estimates which human needs appear most relevant from your voluntary check-in.
Those inferred needs become one dimension used when selecting music, fashion, film and other adaptive experiences.
Current Role
- Identifies unmet needs
- Prioritises potential interventions
- Provides motivational context
Current MVP
GPT estimates which human needs appear most relevant from voluntary conversations.
Research Roadmap
Future versions may improve estimation using behavioural, physiological and optical signals.
MINDFULNESS × DADIRRI
Deep listening and presence provide another lens for understanding experience.
Content can then be selected that encourages reflection, grounding and connection rather than simply maximising engagement.
Current Role
- Encourages reflection
- Supports emotional regulation
- Reduces reactive interpretation
Current MVP
GPT considers reflective language alongside emotional content to improve interpretation.
Research Roadmap
Future versions may investigate how contemplative practices influence long-term mental health outcomes.
MEMORY
Past experiences provide context for understanding the present.
GPT compares the meaning within your voluntary check-in with patterns found across music, film, fashion and other media to estimate which memories may be most safely and meaningfully supported.
Current Role
- Maintains conversational continuity
- Identifies recurring patterns
- Adds personal context
Current MVP
Previous voluntary interactions help improve consistency and personalisation.
Research Roadmap
Future privacy-first memory systems may support richer longitudinal understanding under user control.
MONO MYTH (HERO’S JOURNEY)
A narrative framework describing growth through challenge, adaption and transformation.
GPT estimates where you may be within a broader life journey, then favours content that supports your next step rather than simply matching your current mood.
Current Role
- Recognises life transitions
- Provides narrative context
- Supports meaning-making
Current MVP
GPT identifies themes of challenge, resilience and personal growth within conversation.
Research Roadmap
Future research may explore how narrative progression relates to long-term mental health outcomes.
TENSOR KERNEL (WITH NEURAL NET)
The computational layer where multiple inference domains are integrated into a shared representation.
Hundreds of needs vectors transform into many millions of multi-dimensional data points, uncovering novel supportive relationships between music, fashion, content and citizen needs.
Current Role
- Combines multiple knowledge domains
- Generates context-aware inference
- Produces personalised insights
Current MVP
GPT integrates language, context and multiple reasoning frameworks to estimate which citizen needs may currently be most relevant.
Research Roadmap
Future versions will investigate privacy-first multimodal inference using conversational, physiological and optical signals to improve estimation of citizen needs.
