An Evidence-based Toolset to Capture, Measure, and Assess Emotional Health

被引:0
|
作者
Hill, Edward [1 ,2 ]
Dumouchel, Pierre [1 ,3 ]
Moehs, Charles [4 ]
机构
[1] Univ Quebec, Ecole Technol Super, Genie Logiciel & TI, Quebec City, PQ, Canada
[2] Appl R&D Technol & Funding Solut Inc, Montreal, PQ, Canada
[3] CRIM, Montreal, PQ, Canada
[4] Occupat Med Associates, Watertown, NY USA
关键词
emotion detection; emotional health; crowd-sourcing; ecological momentary assessment method (EMA); experience sampling method (ESM); interactive voice response (IVR); Cognitive Behavioral Therapy (CBT);
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We present: (1) an automated telephone check-in system to capture emotional health, based on automatic emotion classification, crowd-sourcing, and the experience sampling method; (2) a method that combines acoustic-based and perception-based emotion classifiers to maximize the likelihood of correctly identifying the emotion in a speech recording; (3) an evidence-based toolkit to measure and assess emotional health; and (4) the results of three experimental trials held in 2010 and 2011: (a) English speaking members of Alcoholics Anonymous, (b) English and French speaking general population, and (c) English speaking Opioid addicts undergoing Suboxone maintenance treatment. Emotional health can be defined as the ability to express emotions, identify one's own emotions, relate to other people's emotions, and to live life with predominantly positive emotions. Emotional health plays a major role in addiction treatment and Cognitive Behavioral Therapy (CBT).
引用
收藏
页码:143 / 147
页数:5
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