What Makes a Good Counselor? Learning to Distinguish between High-quality and Low-quality Counseling Conversations

被引:0
|
作者
Perez-Rosas, Veronica [1 ]
Wu, Xinyi [1 ]
Resnicow, Kenneth [2 ]
Mihalcea, Rada [1 ]
机构
[1] Univ Michigan, Comp Sci & Engn, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Sch Publ Hlth, Ann Arbor, MI 48109 USA
基金
美国国家科学基金会;
关键词
OUTCOMES; REFLECTIONS; THERAPIST; LANGUAGE;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The quality of a counseling intervention relies highly on the active collaboration between clients and counselors. In this paper, we explore several linguistic aspects of the collaboration process occurring during counseling conversations. Specifically, we address the differences between high-quality and low-quality counseling. Our approach examines participants' turn-by-turn interaction, their linguistic alignment, the sentiment expressed by speakers during the conversation, as well as the different topics being discussed. Our results suggest important language differences in low-and high-quality counseling, which we further use to derive linguistic features able to capture the differences between the two groups. These features are then used to build automatic classifiers that can predict counseling quality with accuracies of up to 88%.
引用
收藏
页码:926 / 935
页数:10
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