David C. Atkins
Orcid: 0000-0002-5781-9880Affiliations:
- 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.
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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
IEEE Trans. Affect. Comput., 2022
An automated quality evaluation framework of psychotherapy conversations with local quality estimates.
Comput. Speech Lang., 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 Interspeech 2019, 2019
Proceedings of the Interspeech 2019, 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
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
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 Interspeech 2018, 2018
Proceedings of the Interspeech 2018, 2018
Language Features for Automated Evaluation of Cognitive Behavior Psychotherapy Sessions.
Proceedings of the Interspeech 2018, 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
IEEE J. Biomed. Health Informatics, 2017
Proceedings of the Interspeech 2017, 2017
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 Interspeech 2016, 2016
Laughter Valence Prediction in Motivational Interviewing Based on Lexical and Acoustic Cues.
Proceedings of the Interspeech 2016, 2016
Proceedings of the Interspeech 2016, 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 INTERSPEECH 2015, 2015
Analysis and modeling of the role of laughter in motivational interviewing based psychotherapy conversations.
Proceedings of the INTERSPEECH 2015, 2015
Predicting therapist empathy in motivational interviews using language features inspired by psycholinguistic norms.
Proceedings of the INTERSPEECH 2015, 2015
Assessing empathy using static and dynamic behavior models based on therapist's language in addiction counseling.
Proceedings of the INTERSPEECH 2015, 2015
A dialog act tagging approach to behavioral coding: a case study of addiction counseling conversations.
Proceedings of the INTERSPEECH 2015, 2015
2014
Proceedings of the INTERSPEECH 2014, 2014
Predicting client's inclination towards target behavior change in motivational interviewing and investigating the role of laughter.
Proceedings of the INTERSPEECH 2014, 2014
2013
Proceedings of the INTERSPEECH 2013, 2013
2012
A Case Study: Detecting Counselor Reflections in Psychotherapy for Addictions using Linguistic Features.
Proceedings of the INTERSPEECH 2012, 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