David C. Atkins

Orcid: 0000-0002-5781-9880

Affiliations:
  • Lyssn.io, Inc., Seattle, WA, USA
  • University of Washington, Department of Psychiatry and Behavioral Sciences, Seattle, WA, USA (former)


According to our database1, David C. Atkins authored at least 43 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Human-AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support.
Nat. Mac. Intell., January, 2023

2022
Multi-Label Multi-Task Deep Learning for Behavioral Coding.
IEEE Trans. Affect. Comput., 2022

An automated quality evaluation framework of psychotherapy conversations with local quality estimates.
Comput. Speech Lang., 2022

Local dynamic mode of Cognitive Behavioral Therapy.
CoRR, 2022

Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Automated Quality Assessment of Cognitive Behavioral Therapy Sessions Through Highly Contextualized Language Representations.
CoRR, 2021

"Am I A Good Therapist?" Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies.
CoRR, 2021

Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Feature Fusion Strategies for End-to-End Evaluation of Cognitive Behavior Therapy Sessions.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Investigating voice as a biomarker: Deep phenotyping methods for early detection of Parkinson's disease.
J. Biomed. Informatics, 2020

A Label Proportions Estimation Technique for Adversarial Domain Adaptation in Text Classification.
CoRR, 2020

A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.
J. Am. Medical Informatics Assoc., 2019

Modeling Interpersonal Linguistic Coordination in Conversations Using Word Mover's Distance.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Identifying Therapist and Client Personae for Therapeutic Alliance Estimation.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Role Specific Lattice Rescoring for Speaker Role Recognition from Speech Recognition Outputs.
Proceedings of the IEEE International Conference on Acoustics, 2019

Improving the Prediction of Therapist Behaviors in Addiction Counseling by Exploiting Class Confusions.
Proceedings of the IEEE International Conference on Acoustics, 2019

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Role Annotated Speech Recognition for Conversational Interactions.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Using Prosodic and Lexical Information for Learning Utterance-level Behaviors in Psychotherapy.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Computational Modeling of Conversational Humor in Psychotherapy.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Language Features for Automated Evaluation of Cognitive Behavior Psychotherapy Sessions.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

"It's hard to argue with a computer": Investigating Psychotherapists' Attitudes towards Automated Evaluation.
Proceedings of the 2018 on Designing Interactive Systems Conference 2018, 2018

2017
Content Coding of Psychotherapy Transcripts Using Labeled Topic Models.
IEEE J. Biomed. Health Informatics, 2017

Attention Networks for Modeling Behaviors in Addiction Counseling.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Designing Contestability: Interaction Design, Machine Learning, and Mental Health.
Proceedings of the 2017 Conference on Designing Interactive Systems, 2017

2016
A technology prototype system for rating therapist empathy from audio recordings in addiction counseling.
PeerJ Comput. Sci., 2016

Is Sentiment in Movies the Same as Sentiment in Psychotherapy? Comparisons Using a New Psychotherapy Sentiment Database.
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016

Behavioral Coding of Therapist Language in Addiction Counseling Using Recurrent Neural Networks.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Laughter Valence Prediction in Motivational Interviewing Based on Lexical and Acoustic Cues.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

A Deep Learning Approach to Modeling Empathy in Addiction Counseling.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015
Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing.
Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2015

Analyzing speech rate entrainment and its relation to therapist empathy in drug addiction counseling.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Analysis and modeling of the role of laughter in motivational interviewing based psychotherapy conversations.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Predicting therapist empathy in motivational interviews using language features inspired by psycholinguistic norms.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Assessing empathy using static and dynamic behavior models based on therapist's language in addiction counseling.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

A dialog act tagging approach to behavioral coding: a case study of addiction counseling conversations.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014
Modeling therapist empathy through prosody in drug addiction counseling.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Predicting client's inclination towards target behavior change in motivational interviewing and investigating the role of laughter.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

2013
Modeling therapist empathy and vocal entrainment in drug addiction counseling.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

2012
A Case Study: Detecting Counselor Reflections in Psychotherapy for Addictions using Linguistic Features.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

Analyzing the language of therapist empathy in Motivational Interview based psychotherapy.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012


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