Pink noise in dyads’ semantic similarity trajectories predicts conversation enjoyment

Kathryn C. O’Nell, Kiara L. Sanchez, Emily S. Finn

Open source

DOI: 10.1126/sciadv.aeb2684
Published: 2026-11-06
Container: Science Advances
Publisher: American Association for the Advancement of Science (AAAS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1126/sciadv.aeb2684,
  title = {Pink noise in dyads’ semantic similarity trajectories predicts conversation enjoyment},
  author = {Kathryn C. O’Nell and Kiara L. Sanchez and Emily S. Finn},
  year = {2026},
  journal = {Science Advances},
  doi = {10.1126/sciadv.aeb2684},
  url = {https://doi.org/10.1126/sciadv.aeb2684}
}

RIS

TY  - JOUR
TI  - Pink noise in dyads’ semantic similarity trajectories predicts conversation enjoyment
AU  - Kathryn C. O’Nell
AU  - Kiara L. Sanchez
AU  - Emily S. Finn
PY  - 2026
JO  - Science Advances
DO  - 10.1126/sciadv.aeb2684
UR  - https://doi.org/10.1126/sciadv.aeb2684
ER  -

APA

O’Nell, K. C., Sanchez, K. L., & Finn, E. S. (2026). Pink noise in dyads’ semantic similarity trajectories predicts conversation enjoyment. Science Advances. https://doi.org/10.1126/sciadv.aeb2684

Source records

crossref · retrieved 2026-11-08T14:52:17.465Z