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This study challenged the existing models and constructed an integrated longitudinal model. Using a territory-wide two-wave survey of a representative sample, this new model examined the effects of hedonic motivation, social motivation, perceived ease of use, and perceived usefulness on continued trust, intended use, and actual use of conversational AI.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>An autoregressive cross-lagged model was adopted to test the structural associations of the seven repeatedly measured constructs.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The results revealed that trust in conversational AI positively affected continued actual use, hedonic motivation increased continued intended use, and social motivation and perceived ease of use enhanced continued trust in conversational AI. While the original technology acceptance model was unable to explain the continued acceptance of conversational AI, the findings showed positive feedback effects of actual use on continued intended use. Except for trust, the sequential updating effects of all the measured factors were significant.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This study intended to contribute to the technology acceptance and human\u2013AI interaction paradigms by developing a longitudinal model of continued acceptance of conversational AI. This new model adds to the literature by considering the feedback and sequential updating mechanisms in understanding continued conversational AI acceptance.<\/jats:p><\/jats:sec>","DOI":"10.1108\/itp-06-2023-0577","type":"journal-article","created":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T08:27:48Z","timestamp":1714379268000},"page":"1871-1889","source":"Crossref","is-referenced-by-count":18,"title":["A longitudinal model of continued acceptance of conversational artificial intelligence"],"prefix":"10.1108","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7140-1616","authenticated-orcid":false,"given":"Yu-Leung","family":"Ng","sequence":"first","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2024,4,30]]},"reference":[{"issue":"2","key":"key2025051605565147300_ref001","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/0749-5978(91)90020-T","article-title":"The theory of planned 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