Name
Abstract | ||
|---|---|---|
•This paper presents RevitalMe, a context-aware model for assisting a psychotherapeutic understanding of human behavior.•The model classifies psychological states based on physiological measurements through machine learning.•Twelve psychotherapists showed clinical acceptability of 90%, composed by partial agreement of 62% and a total agreement of 28%.•The interest from cognitive-behavior therapists in psychophysiological insight was higher than psychodynamic therapists.•The psychophysiological insights approximate cognitive-behavior psychotherapy to individual’s behavior and daily events. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cmpb.2019.105299 | Computer Methods and Programs in Biomedicine |
Keywords | DocType | Volume |
Ubiquitous computing,Psychophysiology,Context awareness,Machine learning,Psychotherapy | Journal | 189 |
ISSN | Citations | PageRank |
0169-2607 | 1 | 0.35 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rodrigo Bavaresco | 1 | 1 | 0.35 |
| Jorge Luis Victória Barbosa | 2 | 73 | 29.37 |
| Henrique Damasceno Vianna | 3 | 8 | 3.82 |
| Paulo Büttenbender | 4 | 1 | 0.35 |
| Lucas Dias | 5 | 1 | 0.35 |