102 citations · 185 across the 13 of their papers we have counts for
13 papers
Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios
Zhuohao Chen, Nikolaos Flemotomos, Zac E. Imel +2
In psychotherapy interactions, the quality of a session is assessed by codifying the communicative behaviors of participants during the conversation through manual observation and…
Local dynamic mode of Cognitive Behavioral Therapy
Victor Ardulov, Torrey A. Creed, David C. Atkins +1
In order to increase mental health equity among the most vulnerable and marginalized communities, it is important to increase access to high-quality therapists. One facet of addres…
An Automated Quality Evaluation Framework of Psychotherapy Conversations with Local Quality Estimates
Zhuohao Chen, Nikolaos Flemotomos, Karan Singla +3
Text-based computational approaches for assessing the quality of psychotherapy are being developed to support quality assurance and clinical training. However, due to the long dura…
Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies
Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen +13
With the growing prevalence of psychological interventions, it is vital to have measures which rate the effectiveness of psychological care to assist in training, supervision, and…
Automated Quality Assessment of Cognitive Behavioral Therapy Sessions Through Highly Contextualized Language Representations
Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen +3
During a psychotherapy session, the counselor typically adopts techniques which are codified along specific dimensions (e.g., 'displays warmth and confidence', or 'attempts to set…
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach
Ashish Sharma, Inna W. Lin, Adam S. Miner +2
Online peer-to-peer support platforms enable conversations between millions of people who seek and provide mental health support. If successful, web-based mental health conversatio…
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
Ashish Sharma, Adam S. Miner, David C. Atkins +1
Empathy is critical to successful mental health support. Empathy measurement has predominantly occurred in synchronous, face-to-face settings, and may not translate to asynchronous…
Feature Fusion Strategies for End-to-End Evaluation of Cognitive Behavior Therapy Sessions
Zhuohao Chen, Nikolaos Flemotomos, Victor Ardulov +4
Cognitive Behavioral Therapy (CBT) is a goal-oriented psychotherapy for mental health concerns implemented in a conversational setting with broad empirical support for its effectiv…
A Label Proportions Estimation Technique for Adversarial Domain Adaptation in Text Classification
Zhuohao Chen, Singla Karan, David C. Atkins +2
Many text classification tasks are domain-dependent, and various domain adaptation approaches have been proposed to predict unlabeled data in a new domain. Domain-adversarial neura…
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes
Jie Cao, Michael Tanana, Zac E. Imel +3
Automatically analyzing dialogue can help understand and guide behavior in domains such as counseling, where interactions are largely mediated by conversation. In this paper, we st…
Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance
Md Nasir, Sandeep Nallan Chakravarthula, Brian Baucom +3
Linguistic coordination is a well-established phenomenon in spoken conversations and often associated with positive social behaviors and outcomes. While there have been many attemp…
Multi-label Multi-task Deep Learning for Behavioral Coding
James Gibson, David C. Atkins, Torrey Creed +3
We propose a methodology for estimating human behaviors in psychotherapy sessions using mutli-label and multi-task learning paradigms. We discuss the problem of behavioral coding i…
On estimating causal controlled direct and mediator effects for count outcomes without assuming sequential ignorability
Cheng Zheng, David C. Atkins, Melissa A. Lewis +1
Causal mediation analysis is an important statistical method in social and medical studies, as it can provide insights about why an intervention works and inform the development of…