{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T11:10:33Z","timestamp":1788952233818,"version":"build-2803163510"},"reference-count":60,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T00:00:00Z","timestamp":1788912000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Psychol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Conversational and generative artificial intelligence tools are increasingly used to organize thoughts, clarify emotional experiences, and cope with everyday distress. However, brief instruments assessing perceived AI-assisted psychoemotional regulation remain scarce.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To develop the AI-Assisted Psychoemotional Regulation Scale (ERP-IA-6) and examine its initial psychometric properties among Peruvian adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      The initial eight-item pool was reviewed by five psychologists, and all items obtained Aiken\u2019s V values above 0.80. A total of 538 adults participated (M age\u202f=\u202f24.51 years, SD\u202f=\u202f7.48; range\u202f=\u202f18\u201381); 81.6% were aged 18\u201329 years, 52.0% were women, and 93.1% reported AI use. Using a reproducible sex-stratified procedure, the sample was divided into exploratory (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f266) and confirmatory (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f272) subsamples. Exploratory factor analysis used polychoric correlations and unweighted least squares; confirmatory factor analysis used WLSMV for ordinal indicators. Reliability, AVE-based convergent evidence, sensitivity analyses, shared-method diagnostics, and ordinal measurement invariance across sex were also examined.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Exploratory analyses supported reducing the scale from eight to six items based on conceptual redundancy and parsimony. The final version showed adequate factorability (KMO\u202f=\u202f0.910; Bartlett\u2019s \u03c7\n                      <jats:sup>2<\/jats:sup>\n                      (15)\u202f=\u202f1128.37,\n                      <jats:italic>p<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.001) and a one-factor solution explaining 67.4% of standardized item variance, with loadings from 0.750 to 0.872. In the confirmatory subsample, loadings ranged from 0.839 to 0.930. Robust incremental and residual fit were favorable (CFI\u202f=\u202f0.981; TLI = 0.968; SRMR\u202f=\u202f0.019), although robust RMSEA was elevated, 0.118, 90% CI [0.093, 0.145]. Sensitivity analyses showed that the one-factor structure persisted, while localized residual dependence partly accounted for the elevated RMSEA. Reliability was high (\u03b1\u202f=\u202f0.935; ordinal \u03b1\u202f=\u202f0.945; \u03c9\u202f=\u202f0.948), as were composite reliability (CR\u202f=\u202f0.959) and average variance extracted (AVE\u202f=\u202f0.794). Threshold, metric, and scalar models provided favorable but cautious evidence of invariance across sex.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The ERP-IA-6 provides favorable initial evidence as a brief measure with a dominant unidimensional structure for assessing perceived AI-assisted psychoemotional regulation among Peruvian adults. Scores should be interpreted as perceived regulatory support, not as evidence of clinical effectiveness, therapeutic safety, or equivalence to professional care.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpsyg.2026.1917798","type":"journal-article","created":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T10:16:46Z","timestamp":1788949006000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Development and validation of the AI-assisted psychoemotional regulation scale (ERP-IA-6)"],"prefix":"10.3389","volume":"17","author":[{"given":"Berle Estalin","family":"Briones-Llamoctanta","sequence":"first","affiliation":[{"name":"Professional School of Psychology, Universidad Peruana Uni\u00f3n","place":["Lima, Peru"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan Andr\u00e9s","family":"Pacheco-Cavero","sequence":"additional","affiliation":[{"name":"Universidad Peruana Uni\u00f3n","place":["Lima, Peru"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victor Saul","family":"Callacondo-Quispe","sequence":"additional","affiliation":[{"name":"Universidad Peruana Uni\u00f3n","place":["Juliaca, Peru"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Josu\u00e9 Edison","family":"Turpo-Chaparro","sequence":"additional","affiliation":[{"name":"Faculty of Human Sciences and Education, Universidad Peruana Uni\u00f3n","place":["Lima, Peru"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,9]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1037\/cps0000296","article-title":"The extended process model of emotion regulation in managing negative affect in posttraumatic stress disorder: a systematic review","volume":"32","author":"Agathos","year":"2025","journal-title":"Clin. 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