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Designing Contestability: Interaction Design, Machine Learning, and Mental Health.

DIS. Designing Interactive Systems (Conference)

Hirsch T, Merced K, Narayanan S, Imel ZE, Atkins DC.
PMID: 28890949
DIS (Des Interact Syst Conf). 2017 Jun;2017:95-99. doi: 10.1145/3064663.3064703.

We describe the design of an automated assessment and training tool for psychotherapists to illustrate challenges with creating interactive machine learning (ML) systems, particularly in contexts where human life, livelihood, and wellbeing are at stake. We explore how existing...

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Hirsch T, Merced K, Narayanan S, et al. Designing Contestability: Interaction Design, Machine Learning, and Mental Health. DIS (Des Interact Syst Conf). 2017;2017:95-99doi: 10.1145/3064663.3064703.
Hirsch, T., Merced, K., Narayanan, S., Imel, Z. E., & Atkins, D. C. (2017). Designing Contestability: Interaction Design, Machine Learning, and Mental Health. DIS. Designing Interactive Systems (Conference), 201795-99. https://doi.org/10.1145/3064663.3064703
Hirsch, Tad, et al. "Designing Contestability: Interaction Design, Machine Learning, and Mental Health." DIS. Designing Interactive Systems (Conference) vol. 2017 (2017): 95-99. doi: https://doi.org/10.1145/3064663.3064703
Hirsch T, Merced K, Narayanan S, Imel ZE, Atkins DC. Designing Contestability: Interaction Design, Machine Learning, and Mental Health. DIS (Des Interact Syst Conf). 2017 Jun;2017:95-99. doi: 10.1145/3064663.3064703. PMID: 28890949; PMCID: PMC5590649.
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Computational Analysis and Simulation of Empathic Behaviors: a Survey of Empathy Modeling with Behavioral Signal Processing Framework.

Current psychiatry reports

Xiao B, Imel ZE, Georgiou P, Atkins DC, Narayanan SS.
PMID: 27017830
Curr Psychiatry Rep. 2016 May;18(5):49. doi: 10.1007/s11920-016-0682-5.

Empathy is an important psychological process that facilitates human communication and interaction. Enhancement of empathy has profound significance in a range of applications. In this paper, we review emerging directions of research on computational analysis of empathy expression and...

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Xiao B, Imel ZE, Georgiou P, et al. Computational Analysis and Simulation of Empathic Behaviors: a Survey of Empathy Modeling with Behavioral Signal Processing Framework. Curr Psychiatry Rep. 2016;18(5):49doi: 10.1007/s11920-016-0682-5.
Xiao, B., Imel, Z. E., Georgiou, P., Atkins, D. C., & Narayanan, S. S. (2016). Computational Analysis and Simulation of Empathic Behaviors: a Survey of Empathy Modeling with Behavioral Signal Processing Framework. Current psychiatry reports, 18(5), 49. https://doi.org/10.1007/s11920-016-0682-5
Xiao, Bo, et al. "Computational Analysis and Simulation of Empathic Behaviors: a Survey of Empathy Modeling with Behavioral Signal Processing Framework." Current psychiatry reports vol. 18,5 (2016): 49. doi: https://doi.org/10.1007/s11920-016-0682-5
Xiao B, Imel ZE, Georgiou P, Atkins DC, Narayanan SS. Computational Analysis and Simulation of Empathic Behaviors: a Survey of Empathy Modeling with Behavioral Signal Processing Framework. Curr Psychiatry Rep. 2016 May;18(5):49. doi: 10.1007/s11920-016-0682-5. PMID: 27017830; PMCID: PMC5405768.
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Can a computer detect interpersonal skills? Using machine learning to scale up the Facilitative Interpersonal Skills task.

Psychotherapy research : journal of the Society for Psychotherapy Research

Goldberg SB, Tanana M, Imel ZE, Atkins DC, Hill CE, Anderson T.
PMID: 32172682
Psychother Res. 2021 Mar;31(3):281-288. doi: 10.1080/10503307.2020.1741047. Epub 2020 Mar 16.

No abstract available.

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Goldberg SB, Tanana M, Imel ZE, et al. Can a computer detect interpersonal skills? Using machine learning to scale up the Facilitative Interpersonal Skills task. Psychother Res. 2020;31(3):281-288doi: 10.1080/10503307.2020.1741047.
Goldberg, S. B., Tanana, M., Imel, Z. E., Atkins, D. C., Hill, C. E., & Anderson, T. (2021). Can a computer detect interpersonal skills? Using machine learning to scale up the Facilitative Interpersonal Skills task. Psychotherapy research : journal of the Society for Psychotherapy Research, 31(3), 281-288. https://doi.org/10.1080/10503307.2020.1741047
Goldberg, Simon B, et al. "Can a computer detect interpersonal skills? Using machine learning to scale up the Facilitative Interpersonal Skills task." Psychotherapy research : journal of the Society for Psychotherapy Research vol. 31,3 (2021): 281-288. doi: https://doi.org/10.1080/10503307.2020.1741047
Goldberg SB, Tanana M, Imel ZE, Atkins DC, Hill CE, Anderson T. Can a computer detect interpersonal skills? Using machine learning to scale up the Facilitative Interpersonal Skills task. Psychother Res. 2021 Mar;31(3):281-288. doi: 10.1080/10503307.2020.1741047. Epub 2020 Mar 16. PMID: 32172682; PMCID: PMC7492408.
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Using Prosodic and Lexical Information for Learning Utterance-level Behaviors in Psychotherapy.

Interspeech

Singla K, Chen Z, Flemotomos N, Gibson J, Can D, Atkins DC, Narayanan S.
PMID: 34307639
Interspeech. 2018 Sep;2018:3413-3417. doi: 10.21437/interspeech.2018-2551.

In this paper, we present an approach for predicting utterance level behaviors in psychotherapy sessions using both speech and lexical features. We train long short term memory (LSTM) networks with an attention mechanism using words, both manually and automatically...

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Singla K, Chen Z, Flemotomos N, et al. Using Prosodic and Lexical Information for Learning Utterance-level Behaviors in Psychotherapy. Interspeech. 2018;2018:3413-3417doi: 10.21437/interspeech.2018-2551.
Singla, K., Chen, Z., Flemotomos, N., Gibson, J., Can, D., Atkins, D. C., & Narayanan, S. (2018). Using Prosodic and Lexical Information for Learning Utterance-level Behaviors in Psychotherapy. Interspeech, 20183413-3417. https://doi.org/10.21437/interspeech.2018-2551
Singla, Karan, et al. "Using Prosodic and Lexical Information for Learning Utterance-level Behaviors in Psychotherapy." Interspeech vol. 2018 (2018): 3413-3417. doi: https://doi.org/10.21437/interspeech.2018-2551
Singla K, Chen Z, Flemotomos N, Gibson J, Can D, Atkins DC, Narayanan S. Using Prosodic and Lexical Information for Learning Utterance-level Behaviors in Psychotherapy. Interspeech. 2018 Sep;2018:3413-3417. doi: 10.21437/interspeech.2018-2551. PMID: 34307639; PMCID: PMC8297805.
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Rating motivational interviewing fidelity from thin slices.

Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors

Caperton DD, Atkins DC, Imel ZE.
PMID: 29723012
Psychol Addict Behav. 2018 Jun;32(4):434-441. doi: 10.1037/adb0000359. Epub 2018 May 03.

Monitoring fidelity to psychosocial treatments is critical to dissemination, process and outcome research, and internal validity in efficacy trials. However, the costs required to behavior code fidelity to treatments like motivational interviewing (MI) over many therapists and sessions quickly...

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Caperton DD, Atkins DC, Imel ZE. Rating motivational interviewing fidelity from thin slices. Psychol Addict Behav. 2018;32(4):434-441doi: 10.1037/adb0000359.
Caperton, D. D., Atkins, D. C., & Imel, Z. E. (2018). Rating motivational interviewing fidelity from thin slices. Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 32(4), 434-441. https://doi.org/10.1037/adb0000359
Caperton, Derek D, et al. "Rating motivational interviewing fidelity from thin slices." Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors vol. 32,4 (2018): 434-441. doi: https://doi.org/10.1037/adb0000359
Caperton DD, Atkins DC, Imel ZE. Rating motivational interviewing fidelity from thin slices. Psychol Addict Behav. 2018 Jun;32(4):434-441. doi: 10.1037/adb0000359. Epub 2018 May 03. PMID: 29723012; PMCID: PMC6013354.
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A technology prototype system for rating therapist empathy from audio recordings in addiction counseling.

PeerJ. Computer science

Xiao B, Huang C, Imel ZE, Atkins DC, Georgiou P, Narayanan SS.
PMID: 28286867
PeerJ Comput Sci. 2016 Apr;2. doi: 10.7717/peerj-cs.59. Epub 2016 Apr 20.

Scaling up psychotherapy services such as for addiction counseling is a critical societal need. One challenge is ensuring quality of therapy, due to the heavy cost of manual observational assessment. This work proposes a speech technology-based system to automate...

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Xiao B, Huang C, Imel ZE, et al. A technology prototype system for rating therapist empathy from audio recordings in addiction counseling. PeerJ Comput Sci. 2016;2doi: 10.7717/peerj-cs.59.
Xiao, B., Huang, C., Imel, Z. E., Atkins, D. C., Georgiou, P., & Narayanan, S. S. (2016). A technology prototype system for rating therapist empathy from audio recordings in addiction counseling. PeerJ. Computer science, 2. https://doi.org/10.7717/peerj-cs.59
Xiao, Bo, et al. "A technology prototype system for rating therapist empathy from audio recordings in addiction counseling." PeerJ. Computer science vol. 2 (2016). doi: https://doi.org/10.7717/peerj-cs.59
Xiao B, Huang C, Imel ZE, Atkins DC, Georgiou P, Narayanan SS. A technology prototype system for rating therapist empathy from audio recordings in addiction counseling. PeerJ Comput Sci. 2016 Apr;2. doi: 10.7717/peerj-cs.59. Epub 2016 Apr 20. PMID: 28286867; PMCID: PMC5344199.
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Computational modeling of conversational humor in psychotherapy.

Interspeech

Ramakrishna A, Greer T, Atkins D, Narayanan S.
PMID: 34307638
Interspeech. 2018 Sep;2018:2344-2348. doi: 10.21437/interspeech.2018-1583.

Humor is an important social construct that serves several roles in human communication. Though subjective, it is culturally ubiquitous and is often used to diffuse tension, specially in intense conversations such as those in psychotherapy sessions. Automatic recognition of...

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Ramakrishna A, Greer T, Atkins D, et al. Computational modeling of conversational humor in psychotherapy. Interspeech. 2018;2018:2344-2348doi: 10.21437/interspeech.2018-1583.
Ramakrishna, A., Greer, T., Atkins, D., & Narayanan, S. (2018). Computational modeling of conversational humor in psychotherapy. Interspeech, 20182344-2348. https://doi.org/10.21437/interspeech.2018-1583
Ramakrishna, Anil, et al. "Computational modeling of conversational humor in psychotherapy." Interspeech vol. 2018 (2018): 2344-2348. doi: https://doi.org/10.21437/interspeech.2018-1583
Ramakrishna A, Greer T, Atkins D, Narayanan S. Computational modeling of conversational humor in psychotherapy. Interspeech. 2018 Sep;2018:2344-2348. doi: 10.21437/interspeech.2018-1583. PMID: 34307638; PMCID: PMC8297799.
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"It's hard to argue with a computer:" Investigating Psychotherapists' Attitudes towards Automated Evaluation.

DIS. Designing Interactive Systems (Conference)

Hirsch T, Soma C, Merced K, Kuo P, Dembe A, Caperton DD, Atkins DC, Imel ZE.
PMID: 30027158
DIS (Des Interact Syst Conf). 2018 Jun;2018:559-571. doi: 10.1145/3196709.3196776.

We present CORE-MI, an automated evaluation and assessment system that provides feedback to mental health counselors on the quality of their care. CORE-MI is the first system of its kind for psychotherapy, and an early example of applied machine-learning...

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Hirsch T, Soma C, Merced K, et al. "It's hard to argue with a computer:" Investigating Psychotherapists' Attitudes towards Automated Evaluation. DIS (Des Interact Syst Conf). 2018;2018:559-571doi: 10.1145/3196709.3196776.
Hirsch, T., Soma, C., Merced, K., Kuo, P., Dembe, A., Caperton, D. D., Atkins, D. C., & Imel, Z. E. (2018). "It's hard to argue with a computer:" Investigating Psychotherapists' Attitudes towards Automated Evaluation. DIS. Designing Interactive Systems (Conference), 2018559-571. https://doi.org/10.1145/3196709.3196776
Hirsch, Tad, et al. ""It's hard to argue with a computer:" Investigating Psychotherapists' Attitudes towards Automated Evaluation." DIS. Designing Interactive Systems (Conference) vol. 2018 (2018): 559-571. doi: https://doi.org/10.1145/3196709.3196776
Hirsch T, Soma C, Merced K, Kuo P, Dembe A, Caperton DD, Atkins DC, Imel ZE. "It's hard to argue with a computer:" Investigating Psychotherapists' Attitudes towards Automated Evaluation. DIS (Des Interact Syst Conf). 2018 Jun;2018:559-571. doi: 10.1145/3196709.3196776. PMID: 30027158; PMCID: PMC6050022.
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Showing 1 to 8 of 8 entries