Using Automated Coding of Nonverbal Behavior During a Suicide Assessment to Inform Risk Detection: Mixed Cross-Sectional and Exploratory Prospective Study
Ilana Gratch, Simon M Li, Yutong Zhu, Alexander Grattery, Jeffrey Cohn, Da-eun (Ellen) Lee, Beatrice Beebe, Christine B Cha, Luke MacNeill · 2026
Read Using Automated Coding of Nonverbal Behavior During a Suicide Assessment to Inform Risk Detection: Mixed Cross-Sectional and Exploratory Prospective Study by Ilana Gratch, Simon M Li, Yutong Zhu, Alexander Grattery, Jeffrey Cohn, Da-eun (Ellen) Lee, Beatrice Beebe, Christine B Cha, Luke MacNeill (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13581149.txt.
Description
Ilana Gratch and co-authors test, in a 2026 study, if face and head acts in a suicide talk can flag risk on their own. Talks lean on words, yet the face speaks too, for patient and pro alike. The study held 66 young adults from the town: half with past-year acts of self-harm aim, half with none. The first three minutes of a set talk, the C-SSRS, were read by a code tool. It logged brow and lid acts, head pose, and eye and mouth gaps for both sides of the talk. Clash tests then split the two groups on each mark.
Claims stay held to that clash in the head text. The aim is a risk flag that needs no word trust.
Catalog record
| CREATOR | Ilana Gratch, Simon M Li, Yutong Zhu, Alexander Grattery, Jeffrey Cohn, Da-eun (Ellen) Lee, Beatrice Beebe, Christine B Cha, Luke MacNeill |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 59 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |