V3KTOR Session File Format Specification

This document specifies the V3KTOR session file format v1.0, a plain-text, human-readable, machine-parseable export format for affective calibration session data produced by the V3KTOR instrument. The format is designed for portability across large-language-model (LLM) interpretation contexts, for direct human inspection, and as the foundation for a future cryptographically signed personal affective profile intended for use as a personalization input to local AI agents. The specification defines two document types: the session export (a single calibration session) and the baseline export (an aggregation over multiple sessions). Both share a common structural pattern and field semantics. The specification also defines a documented roadmap for v2 (signed, binary-encoded affective profile) which is not normative in v1 but is included to establish prior art for the longer-term format vision.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-18
DOI
https://doi.org/10.5281/zenodo.20277658
Primary Topic
Emotion and Mood Recognition
Type
article
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article

V3KTOR Session File Format Specification

Tobie David
Zenodo (CERN European Organization for Nuclear Research)
Emotion and Mood Recognition
article

V3KTOR Session File Format Specification

Tobie David
article en

Abstract

This document specifies the V3KTOR session file format v1.0, a plain-text, human-readable, machine-parseable export format for affective calibration session data produced by the V3KTOR instrument. The format is designed for portability across large-language-model (LLM) interpretation contexts, for direct human inspection, and as the foundation for a future cryptographically signed personal affective profile intended for use as a personalization input to local AI agents. The specification defines two document types: the session export (a single calibration session) and the baseline export (an aggregation over multiple sessions). Both share a common structural pattern and field semantics. The specification also defines a documented roadmap for v2 (signed, binary-encoded affective profile) which is not normative in v1 but is included to establish prior art for the longer-term format vision.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 3%
Emotion and Mood Recognition
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