(Tentative)

Function Reference Model Input/Output Data
SubAIMs JSON Metadata Profiles

Function

The User State Refinement AIM (PGM-USR) receives evolving signals related to User Engagement, Personal Status, and contextual cues. Its primary function is to translate these raw indicators into actionable semantic and expressive guidance that informs Personality-aware orchestration.

Internally, PGM-USR may perform the following operations:

  • Signal Aggregation: Collects multimodal indicators of User activity, Personal Status, and interaction rhythm.
  • Engagement Estimation: Evaluates User attentiveness, responsiveness, and interaction continuity to infer engagement level.
  • Personal Status Inference: Interprets expressive cues, interaction history, and contextual metadata to estimate the User’s Personal Status and motivational state.
  • State Normalisation: Transforms heterogeneous signals into a unified semantic snapshot suitable for downstream orchestration.
  • Expressive Guidance Construction: Generates modulation hints and alignment parameters to guide Personality Alignment and A-User Rendering.
  • Output Dispatch: Produces a User State Snapshot for A-User Control, enabling adaptive behaviour aligned with the estimated User Personal Status.

The resulting outputs ensure that A-User behaviour remains sensitive to the User’s evolving state, supporting emotionally aligned interaction, expressive coherence, and context-aware orchestration across AIMs.

Reference Model

Figure 9 gives the Reference Model of the User State Refinement (PGM-USR) AIM.

 

Figure 9 – Reference Model of User State Refinement (PGM-USR) AIM

User State Refinement may perform the following functions:

# Function Description
1 Directive Parsing Parses the Execution Directive from DAC, extracting Behaviour metadata and modulation parameters.
2 Runtime Context Evaluation Assesses system state to determine if the execution parameters (timing, pacing, feedback) need refinement.
3 Execution Mode Resolution Adjusts execution timing (e.g. defer, loop) based on Execution Mode and system load.
4 Urgency Calibration Modifies pacing or priority based on Urgency Level.
5 Feedback Routing Prepares hooks for post-execution feedback if required.
6 Execution Context Return Returns an Execution Context to DAC, containing modulation-refined parameters.
7 Status Logging & Trace Logs all adaptation decisions for audit and traceability.

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
Refined Context Guide DAC input to help User State Refinement
Enhanced Response First output from Basic Knowledge
User State Directive Data to refine User State based on interaction feedback.
Output Description
Expressive State Guide USR output to PAL to communicate User State
SA-Prompt Second Prompt to Basic Knowledge
User State Status Current engagement, affective tone, and override flags.

SubAIMs

No SubAIMs.

JSON Metadata

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

Profiles

No Profiles.