People who suffer from a stress disorder have a severe handicap in daily life. In addition, stress disorders are complex and consequently, hard to define and hard to treat. Semi-automatic assistance was envisioned that helps in the treatment of a stress disorder. Speech was considered to provide an excellent tool for providing an objective, unobtrusive emotion measure. Speech from 25 patients suffering from a stress disorder was recorded while they participated in two storytelling sessions. As a subjective measure, the Subjective Unit of Distress (SUD) was determined, which enabled the validation of derived speech features. A regression model with four speech parameters (i.e., signal, power, zero crossing ratio, and pitch), was able to explain 70% of the variance in the SUD measure. As such it lays the foundation for semi-automated assistance for the treatment of patients with stress disorders.
|Title of host publication||HealthInf 2010: Proceedings of the Third International Conference on Health Informatics|
|Editors||A. Fred, J. Filipe, H. Gamboa|
|Place of Publication||Portugal|
|Number of pages||4|
|Publication status||Published - 20 Jan 2010|
- HMI-HF: Human Factors
- HMI-SLT: Speech and Language Technology
van der Sluis, F., van den Broek, E., & Dijkstra, T. (2010). Towards semi-automated assistance for the treatment of stress disorders. In A. Fred, J. Filipe, & H. Gamboa (Eds.), HealthInf 2010: Proceedings of the Third International Conference on Health Informatics (pp. 446-449). Portugal: INSTICC PRESS.