(Tentative)

Function Reference Model Input/Output Data
SubAIMs JSON Metadata Profiles

1. Function

The A-User Formation AIM (PGM-AUF) receives structured semantic and expressive inputs – Text, Personal Status, and Avatar Model parameters. Its primary function is to synthesise a coherent, expressive A-User embodiment by transforming semantic content and multimodal guidance into speech, facial expression, gesture, and avatar animation.

Internally, PGM-AUF performs the following operations:

  • Personal Status Demultiplexing: Separates incoming Personal Status into modality-specific components – PS-Speech, PS-Face, and PS-Gesture – each guiding a distinct expressive channel.
  • Speech Synthesis: Converts Machine Text into Machine Speech using a Speech Model, modulated by PS-Speech and formatted according to Speech Model specifications.
  • Face Descriptor Construction: Combines Machine Speech and PS-Face to generate Entity Face Descriptors that encode expressive timing, gaze, and facial expression.
  • Body Descriptor Construction: Uses PS-Gesture and Machine Text to produce Entity Body Descriptors, capturing posture, gesture rhythm, and spatial framing.
  • Speaking Avatar Synthesis: Integrates Machine Speech, Face and Body Descriptors, and the Avatar Model to render a fully animated A-User Persona capable of expressive, multimodal communication.

The resulting outputs ensure that the A-User’s rendered behaviour is expressively coherent, semantically aligned, and visually synchronised with the User’s Personal Status – supporting emotionally resonant embodiment and reinforcing conversational trust through consistent multimodal expression.

2. Reference Model

Figure 1 gives the Reference Model of the A-User Formation (PGM-AUF) AIM.

Figure 1 – Reference Model of A-User Formation (PGM-AUF) AIM

3. Input/Output Data

Table 1 gives Input and Output Data of A-User Formation (PGM-AUF) AIM.

Table 1 – Input and Output Data of A-User Formation (PGM-AUF) AIM

Input Description
Text Object Input Text.
Speech Model Model used for speech synthesis.
Avatar Model Model used for Avatar synthesis.
Personal Status The A-User Personal Status of Speech, Face, and Gesture.
Rendering Directive Commands driving avatar’s Personal Status and spatial output.
Output Description
Avatar Speaking Avatar uttering speech synthesised from Text and Personal Status.
Rendering Status Rendering success and avatar expression state report to PGM-AUC.

4. SubAIMs

Figure 2 gives the Reference Model of the A-User Formation Composite AIM.

Figure 2 – Reference Model of the A-User Formation (PGM-AUF) Composite AIM

A-User Formation Composite AIM operates as follows:

  1. Personal Status Demultiplexing makes available the component PS-Speech, PS-Face, and PS-Gesture Modalities.
  2. Machine Text is synthesised as Speech using a Speech Model in a format specified by NN Format and the Personal Status provided by PS-Speech.
  3. Machine Speech and PS-Face are used to produce the Entity Face Descriptors.
  4. PS-Gesture and Text are used for Entity Body Descriptors.
  5. Speaking Avatar Synthesis uses Avatar Model, Machine Speech, and Face and Body Descriptors to produce the Avatar.
  6. Rendering Directive overrides Avatar Model, Speech Model, Text,
  7. Avatar includes associated Speech.
  8. Rendering Status reports the success or otherwise of the Directive implementation.

Table 21 gives the list of PSD AIMs with their input and output Data.

Table 3 – AIMs of A-User Formation Composite AIM and JSON Metadata

AIW AIMs Name and Specification JSON
PGM-AUF A-User Formation X
MMC-PDX Personal Status Demultiplexing X
MMC-TTS Text-to-Speech X
PAF-EFD Entity Face Description X
PAF-EBD Entity Body Description X
PAF-PMX Speaking Avatar Synthesis X

Table 4 maps AUF Inputs/Outputs to Unified Messages.

Table 4 — AUF Inputs/Outputs mapped to Unified Messages

AUF Data Name Role Origin / Destination Unified Schema Mapping
A‑User Entity State Input From Personality Alignment (PAL) Consumed by AUF for actuation and embodiment; correlated via Envelope.CorrelationId; MUST include Trace.Origin and Trace.Timestamp.
A‑User Formation Directive Input From A‑User Control (AUC) Directive → TargetAIM=AUF; includes actuation parameters (gesture, posture, timing); correlation maintained via Envelope.CorrelationId.
Final Response Input From BKN Input → Payload (final prompt); correlated via Envelope.CorrelationId; includes Trace.Origin and Trace.Timestamp.
Avatar Output To M‑Instance Status → Result (ready-to-render Avatar representation); maintain Envelope.CorrelationId; includes Trace.Origin and Trace.Timestamp.
A‑User Formation Status Output To A‑User Control (AUC) Status → State/Progress/Summary/Result; includes confidence, execution progress, and fallback logic; MUST include Trace.Origin and Trace.Timestamp.

5. JSON Metadata

https://mpai.community/standards/PGM1/V1.0/AIMs/AUserFormation.json

6. Profiles

No Profiles.