Name
Title | ||
|---|---|---|
Analyzing the language of therapist empathy in Motivational Interview based psychotherapy |
Abstract | ||
|---|---|---|
Empathy is an important aspect of social communication, especially in medical and psychotherapy applications. Measures of empathy can offer insights into the quality of therapy. We use an N-gram language model based maximum likelihood strategy to classify empathic versus non-empathic utterances and report the precision and recall of classification for various parameters. High recall is obtained with unigram while bigram features achieved the highest F1-score. Based on the utterance level models, a group of lexical features are extracted at the therapy session level. The effectiveness of these features in modeling session level annotator perceptions of empathy is evaluated through correlation with expert-coded session level empathy scores. Our combined feature set achieved a correlation of 0.56 between predicted and expert-coded empathy scores. Results also suggest that the longer term empathy perception process may be more related to isolated empathic salient events. |
Year | Venue | Keywords |
|---|---|---|
2012 | APSIPA | Empathy,Language Model,Motivational Interview |
Field | DocType | Volume |
Empathy,Precision and recall,Utterance,Psychology,Correlation,Bigram,Perception,Recall,Language model,Psychotherapist | Conference | 2012 |
ISSN | ISBN | Citations |
2309-9402 | 978-1-4673-4863-8 | 11 |
PageRank | References | Authors |
0.82 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Xiao | 1 | 82 | 8.31 |
| Dogan Can | 2 | 128 | 10.64 |
| Georgiou Panayiotis | 3 | 428 | 55.79 |
| David Atkins | 4 | 55 | 12.28 |
| Narayanan Shrikanth | 5 | 5558 | 439.23 |