Title MindArc Depths 1–2: Enacted Role, Signal Registration, and Response Way
Year: 2026
Type: preprint
Abstract: This article sets out in detail the first and second depths of MindArc, the integrative mind architecture. These two depths record what goes out and what impinges in a single episode. The first depth records what was actually done and the consequence that actually occurred (D1 Behavioral Realization); the second records what impinged and the first pull felt toward it (D2 Signal Registration). The model codes a single action with two ways of acting, Directing and Enabling, and codes the consequence with four sides: Task, People, Risk, and Options. Crossing these two dimensions yields eight Enacted Roles (R1). On the cue side, the model codes four cue sources (others, oneself, work, and the situation) paired with three initial charges (inviting, alarming, and neutral), which yields the 12 cells of Signal Pull (R2). The cross-depth resultant is the Response Way (R1–2), which pairs each role with the cue from the source that matches the side of its consequence, giving 24 cells read as: the cue comes first, then the action. The article separates the research that supports each part from what is the model's own design. Research supports the split between the two ways of acting, the split among areas of performance, the separation of cue sources one by one, and the fast good-or-bad evaluation of what comes in, but no study uses the same set of eight roles, 12 cells, or 24 cells as the model. Every value in these two depths is a value of the episode, not a characteristic of the person. The article proposes measurement principles based on real episodes that respondents recall, and five testable hypotheses. The model has not yet been tested empirically. This article is a part article of the MindArc overview article (https://doi.org/10.5281/zenodo.23578802). The record holds the article in Thai and English.
Author: Jirakankorn, Akira
Language: English
Subfield: Applied Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225458065