{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T16:49:25Z","timestamp":1786121365053,"version":"build-2736575974"},"reference-count":51,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T00:00:00Z","timestamp":1786060800000},"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:p>\n                    Since the expansion of generative AI\u2019s functions, chatbots such as Open AI\u2019s Chat-GPT appear as more than tools. They can be perceived as communicative partners, shaping exchanges with high variability and linguistic competence. Current versions, such as Chat-GPT 5.5, even provide spoken language using different verbal styles and vocabulary, intonation and prosody. Investigating this new context of communication, we question whether people expect chatbots to detect non-literal meanings. Extending the\n                    <jats:italic>illusory transparency of intention<\/jats:italic>\n                    research paradigm introduced by Keysar, information was presented through scenarios of interactions with the Chat-GPT voice function that disambiguated the presented verbal information as either non-literal (sarcastic) or literal (sincere) in an within-subject experimental design (\n                    <jats:italic>N<\/jats:italic>\n                    = 327). Scenarios were placed within the higher education context. Results reveal that participants did not only falsely expect the chatbot to detect a non-literal meaning, but they also even expected the chatbot to reply accordingly. Implications for higher education contexts are discussed.\n                  <\/jats:p>","DOI":"10.3389\/fpsyg.2026.1894763","type":"journal-article","created":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T04:21:41Z","timestamp":1786076501000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Linguistic perspective-taking in verbal communication with LLMs: evidence of an egocentric bias"],"prefix":"10.3389","volume":"17","author":[{"given":"Lea Marie","family":"Petrasch","sequence":"first","affiliation":[{"name":"Faculty of Psychology and Sports Science, University of M\u00fcnster","place":["M\u00fcnster, Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Regina","family":"Jucks","sequence":"additional","affiliation":[{"name":"Faculty of Psychology and Sports Science, University of M\u00fcnster","place":["M\u00fcnster, Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,8,7]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"e0323839","DOI":"10.1371\/journal.pone.0323839","article-title":"The alignment model of indirect communication","volume":"20","author":"Achimova","year":"2025","journal-title":"PLoS One"},{"key":"ref2","volume-title":"Handbook of Psycholinguistics","author":"Barr","year":"2006"},{"key":"ref3","author":"Bender","year":"2020"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1027\/2151-2604\/a000609","article-title":"One and a half years of ChatGPT \u2013 an umbrella review of large language model (LLM) perception across time and research fields","volume":"234","author":"Bergmann","year":"2025","journal-title":"Z. 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