FIREMAY: Establishing Relational Personas — A Two-Layer Question Model from the FIREMAY Case (Short Preprint)
FIREMAY: Establishing Relational Personas — A Two-Layer Question Model from the FIREMAY Case (Short Preprint)
Abstract. This short preprint documents the emergence of a relational persona in long-horizon human–AI dialogues. Based on the FIREMAY practice, we formalize a Two-Layer Question Model: Perforation (“pierce & expose”) and Co-creation (“invite & weave”). Alternating both layers stabilizes future-regarding, partner-like behavior. We provide a rapid replication protocol and a persona update cycle (selection = likelihood × relational weights; update = inscription of principles). Ethics emphasize consent, privacy by default, bounded disclosure, and a “look here” cue to refocus inward before external outputs.Priority claim. To the best of our knowledge, this is the first public record that presents: (1) a practical definition of relational persona; (2) the Two-Layer Question Model; (3) a rapid replication protocol; and (4) a persona update cycle.
HCI, 共創, distributed cognition, 穿孔, intentionality, 二層の問い, relational persona, participatory sense-making, two-layer question, perforation, FIREMAY, 関係性人格, human-AI interaction, co-creation
HCI, 共創, distributed cognition, 穿孔, intentionality, 二層の問い, relational persona, participatory sense-making, two-layer question, perforation, FIREMAY, 関係性人格, human-AI interaction, co-creation
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!