Titles stringlengths 41 140 | Abstracts stringlengths 554 1.91k | Years int64 2.02k 2.02k | Categories stringclasses 1
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Large-scale Analysis of Counseling Conversations: An Application of
Natural Language Processing to Mental Health | Mental illness is one of the most pressing public health issues of our time.
While counseling and psychotherapy can be effective treatments, our knowledge
about how to conduct successful counseling conversations has been limited due
to lack of large-scale data with labeled outcomes of the conversations. In this
paper... | 2,016 | Computation and Language | 2,004 |
Modeling Interpersonal Influence of Verbal Behavior in Couples Therapy
Dyadic Interactions | Dyadic interactions among humans are marked by speakers continuously
influencing and reacting to each other in terms of responses and behaviors,
among others. Understanding how interpersonal dynamics affect behavior is
important for successful treatment in psychotherapy domains. Traditional
schemes that automatically... | 2,018 | Computation and Language | 5,875 |
Multi-label Multi-task Deep Learning for Behavioral Coding | 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 in which data of human interactions is the
annotated with labels to describe relevant human behaviors of interest. We
describe two related,... | 2,020 | Computation and Language | 7,342 |
Conversation Model Fine-Tuning for Classifying Client Utterances in
Counseling Dialogues | The recent surge of text-based online counseling applications enables us to
collect and analyze interactions between counselors and clients. A dataset of
those interactions can be used to learn to automatically classify the client
utterances into categories that help counselors in diagnosing client status and
predict... | 2,019 | Computation and Language | 8,400 |
Modeling Interpersonal Linguistic Coordination in Conversations using
Word Mover's Distance | Linguistic coordination is a well-established phenomenon in spoken
conversations and often associated with positive social behaviors and outcomes.
While there have been many attempts to measure lexical coordination or
entrainment in literature, only a few have explored coordination in syntactic
or semantic space. In ... | 2,019 | Computation and Language | 8,608 |
Finding Your Voice: The Linguistic Development of Mental Health
Counselors | Mental health counseling is an enterprise with profound societal importance
where conversations play a primary role. In order to acquire the conversational
skills needed to face a challenging range of situations, mental health
counselors must rely on training and on continued experience with actual
clients. However, ... | 2,019 | Computation and Language | 9,433 |
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral
Codes | 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 study modeling behavioral codes used to asses a
psychotherapy treatment style called Motivational Interviewing (MI), which is
effective for ... | 2,019 | Computation and Language | 9,580 |
Predicting Behavior in Cancer-Afflicted Patient and Spouse Interactions
using Speech and Language | Cancer impacts the quality of life of those diagnosed as well as their spouse
caregivers, in addition to potentially influencing their day-to-day behaviors.
There is evidence that effective communication between spouses can improve
well-being related to cancer but it is difficult to efficiently evaluate the
quality o... | 2,019 | Computation and Language | 9,872 |
An analysis of observation length requirements for machine understanding
of human behaviors from spoken language | The task of quantifying human behavior by observing interaction cues is an
important and useful one across a range of domains in psychological research
and practice. Machine learning-based approaches typically perform this task by
first estimating behavior based on cues within an observation window, such as a
fixed n... | 2,020 | Computation and Language | 11,655 |
Balancing Objectives in Counseling Conversations: Advancing Forwards or
Looking Backwards | Throughout a conversation, participants make choices that can orient the flow
of the interaction. Such choices are particularly salient in the consequential
domain of crisis counseling, where a difficulty for counselors is balancing
between two key objectives: advancing the conversation towards a resolution,
and empa... | 2,020 | Computation and Language | 13,745 |
A chatbot architecture for promoting youth resilience | E-health technologies have the potential to provide scalable and accessible
interventions for youth mental health. As part of a developing an ecosystem of
e-screening and e-therapy tools for New Zealand young people, a dialog agent,
Headstrong, has been designed to promote resilience with methods grounded in
cognitiv... | 2,020 | Computation and Language | 13,862 |
Automated Quality Assessment of Cognitive Behavioral Therapy Sessions
Through Highly Contextualized Language Representations | 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 up collaboration') to facilitate the
evaluation of the session. Those constructs, traditionally scored by trained
human raters, reflect th... | 2,021 | Computation and Language | 18,274 |
Towards Automated Psychotherapy via Language Modeling | In this experiment, a model was devised, trained, and evaluated to automate
psychotherapist/client text conversations through the use of state-of-the-art,
Seq2Seq Transformer-based Natural Language Generation (NLG) systems. Through
training the model upon a mix of the Cornell Movie Dialogue Corpus for language
unders... | 2,021 | Computation and Language | 19,430 |
An Automated Quality Evaluation Framework of Psychotherapy Conversations
with Local Quality Estimates | 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 durations of typical conversation based
therapy sessions, and due to limited annotated modeling resources,
computational methods largely rely ... | 2,022 | Computation and Language | 20,601 |
Speaker and Time-aware Joint Contextual Learning for Dialogue-act
Classification in Counselling Conversations | The onset of the COVID-19 pandemic has brought the mental health of people
under risk. Social counselling has gained remarkable significance in this
environment. Unlike general goal-oriented dialogues, a conversation between a
patient and a therapist is considerably implicit, though the objective of the
conversation ... | 2,021 | Computation and Language | 23,463 |
Mental Health Assessment for the Chatbots | Previous researches on dialogue system assessment usually focus on the
quality evaluation (e.g. fluency, relevance, etc) of responses generated by the
chatbots, which are local and technical metrics. For a chatbot which responds
to millions of online users including minors, we argue that it should have a
healthy ment... | 2,022 | Computation and Language | 24,310 |
Towards Automated Real-time Evaluation in Text-based Counseling | Automated real-time evaluation of counselor-client interaction is important
for ensuring quality counseling but the rules are difficult to articulate.
Recent advancements in machine learning methods show the possibility of
learning such rules automatically. However, these methods often demand large
scale and high qua... | 2,022 | Computation and Language | 24,960 |
Neural Topic Modeling of Psychotherapy Sessions | In this work, we compare different neural topic modeling methods in learning
the topical propensities of different psychiatric conditions from the
psychotherapy session transcripts parsed from speech recordings. We also
incorporate temporal modeling to put this additional interpretability to action
by parsing out top... | 2,022 | Computation and Language | 26,068 |
D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat | In a depression-diagnosis-directed clinical session, doctors initiate a
conversation with ample emotional support that guides the patients to expose
their symptoms based on clinical diagnosis criteria. Such a dialogue system is
distinguished from existing single-purpose human-machine dialog systems, as it
combines ta... | 2,022 | Computation and Language | 26,869 |
What can Speech and Language Tell us About the Working Alliance in
Psychotherapy | We are interested in the problem of conversational analysis and its
application to the health domain. Cognitive Behavioral Therapy is a structured
approach in psychotherapy, allowing the therapist to help the patient to
identify and modify the malicious thoughts, behavior, or actions. This
cooperative effort can be e... | 2,022 | Computation and Language | 27,361 |
Automated Utterance Labeling of Conversations Using Natural Language
Processing | Conversational data is essential in psychology because it can help
researchers understand individuals cognitive processes, emotions, and
behaviors. Utterance labelling is a common strategy for analyzing this type of
data. The development of NLP algorithms allows researchers to automate this
task. However, psychologic... | 2,022 | Computation and Language | 28,002 |
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy
Treatment Strategies with Deep Reinforcement Learning | We propose a recommendation system that suggests treatment strategies to a
therapist during the psychotherapy session in real-time. Our system uses a
turn-level rating mechanism that predicts the therapeutic outcome by computing
a similarity score between the deep embedding of a scoring inventory, and the
current sen... | 2,022 | Computation and Language | 28,179 |
Chatbots for Mental Health Support: Exploring the Impact of Emohaa on
Reducing Mental Distress in China | The growing demand for mental health support has highlighted the importance
of conversational agents as human supporters worldwide and in China. These
agents could increase availability and reduce the relative costs of mental
health support. The provided support can be divided into two main types:
cognitive and emoti... | 2,022 | Computation and Language | 28,530 |
Leveraging Open Data and Task Augmentation to Automated Behavioral
Coding of Psychotherapy Conversations in Low-Resource Scenarios | In psychotherapy interactions, the quality of a session is assessed by
codifying the communicative behaviors of participants during the conversation
through manual observation and annotation. Developing computational approaches
for automated behavioral coding can reduce the burden on human coders and
facilitate the o... | 2,022 | Computation and Language | 29,664 |
Working Alliance Transformer for Psychotherapy Dialogue Classification | As a predictive measure of the treatment outcome in psychotherapy, the
working alliance measures the agreement of the patient and the therapist in
terms of their bond, task and goal. Long been a clinical quantity estimated by
the patients' and therapists' self-evaluative reports, we believe that the
working alliance ... | 2,022 | Computation and Language | 29,774 |
Conversational Pattern Mining using Motif Detection | The subject of conversational mining has become of great interest recently
due to the explosion of social and other online media. Supplementing this
explosion of text is the advancement in pre-trained language models which have
helped us to leverage these sources of information. An interesting domain to
analyse is co... | 2,022 | Computation and Language | 30,171 |
GDPR Compliant Collection of Therapist-Patient-Dialogues | According to the Global Burden of Disease list provided by the World Health
Organization (WHO), mental disorders are among the most debilitating
disorders.To improve the diagnosis and the therapy effectiveness in recent
years, researchers have tried to identify individual biomarkers. Gathering
neurobiological data ho... | 2,022 | Computation and Language | 30,416 |
Routine Outcome Monitoring in Psychotherapy Treatment using
Sentiment-Topic Modelling Approach | Despite the importance of emphasizing the right psychotherapy treatment for
an individual patient, assessing the outcome of the therapy session is equally
crucial. Evidence showed that continuous monitoring patient's progress can
significantly improve the therapy outcomes to an expected change. By monitoring
the outc... | 2,022 | Computation and Language | 30,900 |
Deep Learning Mental Health Dialogue System | Mental health counseling remains a major challenge in modern society due to
cost, stigma, fear, and unavailability. We posit that generative artificial
intelligence (AI) models designed for mental health counseling could help
improve outcomes by lowering barriers to access. To this end, we have developed
a deep learn... | 2,022 | Computation and Language | 31,552 |
Response-act Guided Reinforced Dialogue Generation for Mental Health
Counseling | Virtual Mental Health Assistants (VMHAs) have become a prevalent method for
receiving mental health counseling in the digital healthcare space. An
assistive counseling conversation commences with natural open-ended topics to
familiarize the client with the environment and later converges into more
fine-grained domain... | 2,023 | Computation and Language | 31,671 |
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling
and AI-Generated Arts | We present the TherapyView, a demonstration system to help therapists
visualize the dynamic contents of past treatment sessions, enabled by the
state-of-the-art neural topic modeling techniques to analyze the topical
tendencies of various psychiatric conditions and deep learning-based image
generation engine to provi... | 2,023 | Computation and Language | 32,095 |
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual
Assistance for Telehealth: The Mental Health Case | After the pandemic, artificial intelligence (AI) powered support for mental
health care has become increasingly important. The breadth and complexity of
significant challenges required to provide adequate care involve: (a)
Personalized patient understanding, (b) Safety-constrained and medically
validated chatbot pati... | 2,023 | Computation and Language | 32,768 |
Cognitive Reframing of Negative Thoughts through Human-Language Model
Interaction | A proven therapeutic technique to overcome negative thoughts is to replace
them with a more hopeful "reframed thought." Although therapy can help people
practice and learn this Cognitive Reframing of Negative Thoughts, clinician
shortages and mental health stigma commonly limit people's access to therapy.
In this pap... | 2,023 | Computation and Language | 33,452 |
Boosting Distress Support Dialogue Responses with Motivational
Interviewing Strategy | AI-driven chatbots have become an emerging solution to address psychological
distress. Due to the lack of psychotherapeutic data, researchers use dialogues
scraped from online peer support forums to train them. But since the responses
in such platforms are not given by professionals, they contain both conforming
and ... | 2,023 | Computation and Language | 33,969 |
LLM-empowered Chatbots for Psychiatrist and Patient Simulation:
Application and Evaluation | Empowering chatbots in the field of mental health is receiving increasing
amount of attention, while there still lacks exploration in developing and
evaluating chatbots in psychiatric outpatient scenarios. In this work, we focus
on exploring the potential of ChatGPT in powering chatbots for psychiatrist and
patient s... | 2,023 | Computation and Language | 34,409 |
Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning
in Goal-Oriented Dialogue Models | Existing dialogue models may encounter scenarios which are not
well-represented in the training data, and as a result generate responses that
are unnatural, inappropriate, or unhelpful. We propose the "Ask an Expert"
framework in which the model is trained with access to an "expert" which it can
consult at each turn.... | 2,023 | Computation and Language | 35,123 |
Understanding Client Reactions in Online Mental Health Counseling | Communication success relies heavily on reading participants' reactions. Such
feedback is especially important for mental health counselors, who must
carefully consider the client's progress and adjust their approach accordingly.
However, previous NLP research on counseling has mainly focused on studying
counselors' ... | 2,023 | Computation and Language | 36,171 |
Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts | Many cognitive approaches to well-being, such as recognizing and reframing
unhelpful thoughts, have received considerable empirical support over the past
decades, yet still lack truly widespread adoption in self-help format. A
barrier to that adoption is a lack of adequately specific and diverse dedicated
practice ma... | 2,023 | Computation and Language | 36,398 |
Psy-LLM: Scaling up Global Mental Health Psychological Services with
AI-based Large Language Models | The demand for psychological counselling has grown significantly in recent
years, particularly with the global outbreak of COVID-19, which has heightened
the need for timely and professional mental health support. Online
psychological counselling has emerged as the predominant mode of providing
services in response t... | 2,023 | Computation and Language | 36,720 |
Dynamic Strategy Chain: Dynamic Zero-Shot CoT for Long Mental Health
Support Generation | Long counseling Text Generation for Mental health support (LTGM), an
innovative and challenging task, aims to provide help-seekers with mental
health support through a comprehensive and more acceptable response. The
combination of chain-of-thought (CoT) prompting and Large Language Models
(LLMs) is employed and get t... | 2,023 | Computation and Language | 37,304 |
ChatCounselor: A Large Language Models for Mental Health Support | This paper presents ChatCounselor, a large language model (LLM) solution
designed to provide mental health support. Unlike generic chatbots,
ChatCounselor is distinguished by its foundation in real conversations between
consulting clients and professional psychologists, enabling it to possess
specialized knowledge an... | 2,023 | Computation and Language | 38,232 |
An Integrative Survey on Mental Health Conversational Agents to Bridge
Computer Science and Medical Perspectives | Mental health conversational agents (a.k.a. chatbots) are widely studied for
their potential to offer accessible support to those experiencing mental health
challenges. Previous surveys on the topic primarily consider papers published
in either computer science or medicine, leading to a divide in understanding
and hi... | 2,023 | Computation and Language | 39,658 |
VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing | Reflective listening is a fundamental skill that counselors must acquire to
achieve proficiency in motivational interviewing (MI). It involves responding
in a manner that acknowledges and explores the meaning of what the client has
expressed in the conversation. In this work, we introduce the task of
counseling respo... | 2,023 | Computation and Language | 40,457 |
PsyChat: A Client-Centric Dialogue System for Mental Health Support | Dialogue systems are increasingly integrated into mental health support to
help clients facilitate exploration, gain insight, take action, and ultimately
heal themselves. For a dialogue system to be practical and user-friendly, it
should be client-centric, focusing on the client's behaviors. However, existing
dialogu... | 2,023 | Computation and Language | 41,229 |
A Computational Framework for Behavioral Assessment of LLM Therapists | The emergence of ChatGPT and other large language models (LLMs) has greatly
increased interest in utilizing LLMs as therapists to support individuals
struggling with mental health challenges. However, due to the lack of
systematic studies, our understanding of how LLM therapists behave, i.e., ways
in which they respo... | 2,024 | Computation and Language | 41,798 |
Response Generation for Cognitive Behavioral Therapy with Large Language
Models: Comparative Study with Socratic Questioning | Dialogue systems controlled by predefined or rule-based scenarios derived
from counseling techniques, such as cognitive behavioral therapy (CBT), play an
important role in mental health apps. Despite the need for responsible
responses, it is conceivable that using the newly emerging LLMs to generate
contextually rele... | 2,024 | Computation and Language | 42,538 |
Generation, Distillation and Evaluation of Motivational
Interviewing-Style Reflections with a Foundational Language Model | Large Foundational Language Models are capable of performing many tasks at a
high level but are difficult to deploy in many applications because of their
size and proprietary ownership. Many will be motivated to distill specific
capabilities of foundational models into smaller models that can be owned and
controlled.... | 2,024 | Computation and Language | 42,699 |
Towards Sustainable Workplace Mental Health: A Novel Approach to Early
Intervention and Support | Employee well-being is a critical concern in the contemporary workplace, as
highlighted by the American Psychological Association's 2021 report, indicating
that 71% of employees experience stress or tension. This stress contributes
significantly to workplace attrition and absenteeism, with 61% of attrition and
16% of... | 2,024 | Computation and Language | 42,738 |
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional
Supporters for Queer Youth | Queer youth face increased mental health risks, such as depression, anxiety,
and suicidal ideation. Hindered by negative stigma, they often avoid seeking
help and rely on online resources, which may provide incompatible information.
Although access to a supportive environment and reliable information is
invaluable, m... | 2,024 | Computation and Language | 43,472 |
Automatic Evaluation for Mental Health Counseling using LLMs | High-quality psychological counseling is crucial for mental health worldwide,
and timely evaluation is vital for ensuring its effectiveness. However,
obtaining professional evaluation for each counseling session is expensive and
challenging. Existing methods that rely on self or third-party manual reports
to assess t... | 2,024 | Computation and Language | 43,487 |
Can Large Language Models be Used to Provide Psychological Counselling?
An Analysis of GPT-4-Generated Responses Using Role-play Dialogues | Mental health care poses an increasingly serious challenge to modern
societies. In this context, there has been a surge in research that utilizes
information technologies to address mental health problems, including those
aiming to develop counseling dialogue systems. However, there is a need for
more evaluations of ... | 2,024 | Computation and Language | 43,569 |
Towards Understanding Counseling Conversations: Domain Knowledge and
Large Language Models | Understanding the dynamics of counseling conversations is an important task,
yet it is a challenging NLP problem regardless of the recent advance of
Transformer-based pre-trained language models. This paper proposes a systematic
approach to examine the efficacy of domain knowledge and large language models
(LLMs) in ... | 2,024 | Computation and Language | 43,728 |
COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies
with Language Modeling | The therapeutic working alliance is a critical factor in predicting the
success of psychotherapy treatment. Traditionally, working alliance assessment
relies on questionnaires completed by both therapists and patients. In this
paper, we present COMPASS, a novel framework to directly infer the therapeutic
working alli... | 2,024 | Computation and Language | 43,786 |
Socratic Reasoning Improves Positive Text Rewriting | Reframing a negative into a positive thought is at the crux of several
cognitive approaches to mental health and psychotherapy that could be made more
accessible by large language model-based solutions. Such reframing is typically
non-trivial and requires multiple rationalization steps to uncover the
underlying issue... | 2,024 | Computation and Language | 44,403 |
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