Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT)

Drimalla H, Scheffer T, Landwehr N, Baskow I, Roepke S, Behnia B, Dziobek I (2020)
npj Digital Medicine 3(1): 25.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Drimalla, HannaUniBi; Scheffer, Tobias; Landwehr, Niels; Baskow, Irina; Roepke, Stefan; Behnia, Behnoush; Dziobek, Isabel
Abstract / Bemerkung
**Abstract**
Social interaction deficits are evident in many psychiatric conditions and specifically in autism spectrum disorder (ASD), but hard to assess objectively. We present a digital tool to automatically quantify biomarkers of social interaction deficits: the simulated interaction task (SIT), which entails a standardized 7-min simulated dialog via video and the automated analysis of facial expressions, gaze behavior, and voice characteristics. In a study with 37 adults with ASD without intellectual disability and 43 healthy controls, we show the potential of the tool as a diagnostic instrument and for better description of ASD-associated social phenotypes. Using machine-learning tools, we detected individuals with ASD with an accuracy of 73%, sensitivity of 67%, and specificity of 79%, based on their facial expressions and vocal characteristics alone. Especially reduced social smiling and facial mimicry as well as a higher voice fundamental frequency and harmony-to-noise-ratio were characteristic for individuals with ASD. The time-effective and cost-effective computer-based analysis outperformed a majority vote and performed equal to clinical expert ratings.
Erscheinungsjahr
2020
Zeitschriftentitel
npj Digital Medicine
Band
3
Ausgabe
1
Art.-Nr.
25
eISSN
2398-6352
Page URI
https://pub.uni-bielefeld.de/record/2960996

Zitieren

Drimalla H, Scheffer T, Landwehr N, et al. Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digital Medicine. 2020;3(1): 25.
Drimalla, H., Scheffer, T., Landwehr, N., Baskow, I., Roepke, S., Behnia, B., & Dziobek, I. (2020). Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digital Medicine, 3(1), 25. https://doi.org/10.1038/s41746-020-0227-5
Drimalla, H., Scheffer, T., Landwehr, N., Baskow, I., Roepke, S., Behnia, B., and Dziobek, I. (2020). Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digital Medicine 3:25.
Drimalla, H., et al., 2020. Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digital Medicine, 3(1): 25.
H. Drimalla, et al., “Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT)”, npj Digital Medicine, vol. 3, 2020, : 25.
Drimalla, H., Scheffer, T., Landwehr, N., Baskow, I., Roepke, S., Behnia, B., Dziobek, I.: Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digital Medicine. 3, : 25 (2020).
Drimalla, Hanna, Scheffer, Tobias, Landwehr, Niels, Baskow, Irina, Roepke, Stefan, Behnia, Behnoush, and Dziobek, Isabel. “Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT)”. npj Digital Medicine 3.1 (2020): 25.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0):
Link(s) zu Volltext(en)
Access Level
OA Open Access

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Suchen in

Google Scholar