{"data":{"id":"10.5281/zenodo.22871354","type":"dois","attributes":{"doi":"10.5281/zenodo.22871354","prefix":"10.5281","suffix":"zenodo.22871354","identifiers":[{"identifier":"oai:zenodo.org:22871354","identifierType":"oai"}],"alternateIdentifiers":[{"alternateIdentifierType":"oai","alternateIdentifier":"oai:zenodo.org:22871354"}],"creators":[{"name":"Ehstand, Andreas","nameType":"Personal","givenName":"Andreas","familyName":"Ehstand","nameIdentifiers":[{"nameIdentifier":"0009-0006-3773-7796","nameIdentifierScheme":"ORCID"}],"affiliation":[]}],"titles":[{"title":"Feeling Understood by Conversational AI: A Taxonomy and a Recognition–Disclosure Hypothesis"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"human-AI interaction"},{"subject":"subjective experience"},{"subject":"perceived understanding"},{"subject":"conceptual taxonomy"},{"subject":"conversational AI"},{"subject":"qualitative coding"},{"subject":"artificial intelligence"}],"contributors":[],"dates":[{"date":"2026-09-21","dateType":"Issued"}],"language":"en","types":{"ris":"RPRT","bibtex":"article","citeproc":"article-journal","schemaOrg":"ScholarlyArticle","resourceType":"Working paper","resourceTypeGeneral":"Text"},"relatedIdentifiers":[{"relationType":"IsPartOf","relatedIdentifier":"10.5281/zenodo.20161494","relatedIdentifierType":"DOI"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.22871353","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"2026-09-21 corrected conceptual draft","rightsList":[{"rights":"Creative Commons Attribution Non Commercial No Derivatives 4.0 International","rightsUri":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-nc-nd-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"AI-generated conceptual working paper — exploratory basic research on term and field formation.\nConversational AI can become the object of experiences that users describe in relational terms, including feeling understood, noticing a social orientation, or questioning the origin of a formulation. This paper specifies six candidate codes: The Blank Cursor, The Seen Feeling, Digital Confidant Drift, The Parasocial Slip, The Origin Doubt, and Still Here. A comparison with existing research identifies their proposed observational distinctions and temporal scales. Each code receives inclusion criteria, exclusions, and constructed examples. The analytic unit combines an interaction episode with a participant account; disclosure change additionally requires comparison across time. The source manuscript's six-phase cascade serves as a background model. One narrower implication is developed for testing: whether experienced recognition precedes an increased tendency to direct personal reflection to AI. A prospective protocol separates interpretability, coding reliability, discriminant validity, and this temporal association. The contribution is a descriptive specification and research hypothesis.\nAI-generated draft: This manuscript was generated and revised with AI from Andreas Ehstand's March 2026 source manuscript. The coding criteria and research protocol are proposals developed in this revision.\nManuscript dated 15 September 2026. This edition, prepared on 21 September 2026, corrects an author initial in the bibliography. Examples are constructed; the taxonomy, hypothesis and validation protocol are proposals. This is a dated, citable Zenodo working-paper 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