Evaluating designers' acceptance of AI generated content using TAM and TRI frameworks.

Wang SF, Liu KY, Liu Y, Zhao FY, Sun B, Tang YH, Cai SX.

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DOI: 10.1038/s41598-026-51244-0
Published: 2026-05-05
Container: Sci Rep
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-51244-0,
  title = {Evaluating designers' acceptance of AI generated content using TAM and TRI frameworks.},
  author = {Wang SF and  Liu KY and  Liu Y and  Zhao FY and  Sun B and  Tang YH and  Cai SX.},
  year = {2026},
  journal = {Sci Rep},
  doi = {10.1038/s41598-026-51244-0},
  url = {https://doi.org/10.1038/s41598-026-51244-0}
}

RIS

TY  - JOUR
TI  - Evaluating designers' acceptance of AI generated content using TAM and TRI frameworks.
AU  - Wang SF
AU  -  Liu KY
AU  -  Liu Y
AU  -  Zhao FY
AU  -  Sun B
AU  -  Tang YH
AU  -  Cai SX.
PY  - 2026
JO  - Sci Rep
DO  - 10.1038/s41598-026-51244-0
UR  - https://doi.org/10.1038/s41598-026-51244-0
ER  -

APA

SF, W., KY, L., Y, L., FY, Z., B, S., YH, T., & SX., C. (2026). Evaluating designers' acceptance of AI generated content using TAM and TRI frameworks.. Sci Rep. https://doi.org/10.1038/s41598-026-51244-0

Source records

europe-pmc · retrieved 2026-09-25T16:49:53.701Z
doaj · retrieved 2026-09-25T16:49:53.693Z