(Tentative)

Function Reference Model Input/Output Data
SubAIMs JSON Metadata Profiles

Function

The User State Refinement (PGM‑USR) AIM

  1. Receives evolving indicators of the User’s activity, engagement, personal status, and contextual cues coming from Context Capture (baseline User State), ASR/VSR, and Domain Access (DAC).
  2. Transforms these heterogeneous signals into:
    (a) a unified User State snapshot suitable for downstream orchestration, and
    (b) expressive guidance that informs Personality Alignment and A‑User Formation.
  3. Keeps A‑User behaviour sensitive to the User’s evolving state, supporting emotionally aligned interaction, expressive coherence, and context‑aware orchestration across AIMs.

Reference Model

Figure 1 gives the Reference Model of the User State Refinement (PGM-USR) AIM.

Figure 1 – Reference Model of User State Refinement (PGM-USR) AIM

USR consumes (1) baseline User State and scene descriptors from Context Capture, (2) DAC outputs (notably the User Context Guide UCG), (3) ASR/VSR updates to audio and visual anchors, and (4) Interaction History / Enhanced Response. USR refines Engagement, Personal Status, Motivation, and Disposition;

USR generates User State Status (USS), Expressive Guidance (ESG), and a UR‑Prompt for the next LLM interaction—aligning personality and formation with the refined state.

Input/Output Data

Table 18 gives Input and Output Data of User State Refinement (PGM-USR) AIM.

Table 18 – Input and Output Data of User State Refinement (PGM-USR) AIM

Input Description
User Context Guide Refined intent, comfort indicators, contextual priorities, interaction style, trace.
Enhanced Response First output from Basic Knowledge
User State Directive Instructions from A‑User Control specifying refinement goals, urgency level, or override conditions.
Output Description
Expressive State Guide Modulation hints for Personality Alignment (tone/style/verbosity + safety & override flags), with provenance.
UR-Prompt Second Prompt to Basic Knowledge
User State Status Current engagement, affective tone, and override flags for A-User Control consumption..

SubAIMs

The following SubAIMs may be used to implement User State Refinement

SubAIM Function Inputs Outputs To
ESM – Entity State Merger Merge baseline Entity/User State with refinements from UCG and prior USS; ensure consistency before recalibration. Baseline Entity State; UCG; Interaction History; User State Directive Merged Entity State ENG
ENG – Engagement Recalibrator Compute engagement level and mode using UCG comfort indicators, cadence history, and directives. Merged Entity State; UCG; Interaction History; User State Directive Engagement Metrics PST
PST – Personal Status Refiner Update affective tone, motivation, and disposition by blending UCG semantics with engagement metrics and Enhanced Response deltas. Engagement Metrics; UCG; Enhanced Response; User State Directive Refined Personal Status USS
USS – User State Synthesizer Consolidate Entity State, engagement, and personal status into authoritative User State Status with provenance. Refined Personal Status; Engagement Metrics; UCG; Enhanced Response User State Status (USS) ESG / URP
ESG – Expressive State Guide Composer Generate tone, style, verbosity, and safety overrides for PAL based on USS and UCG. USS; UCG; Enhanced Response Expressive State Guide (ESG) PAL
URP – UR-Prompt Assembler Build structured UR-Prompt aligned with UR-Prompt Plan, embedding refined state and expressive cues for next LLM cycle. USS; ESG; UCG; Enhanced Response UR-Prompt BKN

Table 2 describes the informative SubAIMs that have been identified for PGM-PRC.

Table 2 – Informative SubAIMs

Term Definition
A‑User Control Supervisor that issues User State Directives (USD), manages Overseer/Micromanager modes, and records provenance/overrides.
Baseline Entity State Initial snapshot emitted by Context Capture before USR refinement; includes identifiers, focus, intent hints, and scene anchors.
Disposition Refined stance/attitude of the User derived by USR (e.g., collaborative, directive, observational).
Engagement Level User activity intensity: {low
Engagement Mode Interaction type: {passive
Enhanced Response Outcome‑driven feedback artefact synthesised after a cycle; provides guidance deltas and trace for the next USR update.
Expressive State Guide Modulation parameters (tone, style, verbosity, safety overrides) produced by USR and consumed only by PAL.
Intent Rationale A section of UR-Prompt that summarizes the refined user intent and disposition and may include natural language guidance for the next response (e.g., tone, verbosity, focus).
Interaction History Session memory of prior USR operation, cadence features, directives, and outcomes that USR uses for recalibration.
Micromanager Mode A‑User Control mode that can override USR sequencing/parameters on urgency/failure/ambiguity.
Overseer Mode Default A‑User Control mode issuing symbolic USD and monitoring outputs without intrusive overrides.
Provenance / Trace Origin, timestamps, linked IDs (UCG, USD, prompts) that USR preserves in USS, ESG, and UR‑Prompt.
Refined Personal Status USR‑enriched affective tone, motivation, and disposition produced after blending UCG semantics and signals.
Safety Overrides Constraints derived from comfort indicators (e.g., avoid depth cues, reduce complexity) that PAL uses to adapt expressive framing.
UR‑Prompt Prompt assembled by USR for the next LLM cycle; references UR‑Prompt Plan (UPP) and embeds state/guidance.
UR‑Prompt Plan Schema defining the structure and required fields of UR‑Prompt across cycles.
User Context Guide DAC‑produced guide with refined intent, comfort indicators, priorities, interaction style, and trace; a key USR input.
User State Directive Control signal from A‑User Control specifying refinement goals, urgency, or overrides for USR.
User State Status USR output describing engagement level, affective tone, disposition, override report, and trace for use by AUC.

 JSON Metadata

 

https://schemas.mpai.community/PGM1/V1.0/AIMs/UserStateRefinement.json

Profiles

No Profiles.