What can Speech and Language Tell us About the Working Alliance in Psychotherapy

• URL: http://arxiv.org/abs/2206.08835v1
• Date: Fri, 17 Jun 2022 15:32:34 GMT
• Title: What can Speech and Language Tell us About the Working Alliance in Psychotherapy
• Authors: Sebastian P. Bayerl, Gabriel Roccabruna, Shammur Absar Chowdhury, Tommaso Ciulli, Morena Danieli, Korbinian Riedhammer, Giuseppe Riccardi
• Abstract summary: 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. We investigate the relation between this alliance inventory and the spoken conversations (sessions) between the patient and the psychotherapist.
• Score: 4.151615366747556
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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 evaluated using the Working Alliance Inventory Observer-rated Shortened - a 12 items inventory covering task, goal, and relationship - which has a relevant influence on therapeutic outcomes. In this work, we investigate the relation between this alliance inventory and the spoken conversations (sessions) between the patient and the psychotherapist. We have delivered eight weeks of e-therapy, collected their audio and video call sessions, and manually transcribed them. The spoken conversations have been annotated and evaluated with WAI ratings by professional therapists. We have investigated speech and language features and their association with WAI items. The feature types include turn dynamics, lexical entrainment, and conversational descriptors extracted from the speech and language signals. Our findings provide strong evidence that a subset of these features are strong indicators of working alliance. To the best of our knowledge, this is the first and a novel study to exploit speech and language for characterising working alliance.

Related papers

• EMMI -- Empathic Multimodal Motivational Interviews Dataset: Analyses and Annotations [0.7499722271664147]
  This study aims to uncover how therapists skillfully blend therapy's task goal (employing classical steps of Motivational Interviewing) with the social goal (building a trusting relationship and expressing empathy) We present multimodal annotations of a corpus consisting of simulated motivational interviewing conversations. We analyze these annotations to characterize functional behavior for developing a virtual agent performing motivational interviews emphasizing social and empathic behaviors.
  arXiv  Detail & Related papers  (2024-06-24T09:32:28Z)
• GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment [72.96949760114575]
  We propose a novel cooperative communication framework, Goal-Oriented Mental Alignment (GOMA) GOMA formulates verbal communication as a planning problem that minimizes the misalignment between parts of agents' mental states that are relevant to the goals. We evaluate our approach against strong baselines in two challenging environments, Overcooked (a multiplayer game) and VirtualHome (a household simulator)
  arXiv  Detail & Related papers  (2024-03-17T03:52:52Z)
• Working Alliance Transformer for Psychotherapy Dialogue Classification [27.80555922579736]
  We believe that the working alliance can be better characterized using natural language processing technique directly in the dialogue transcribed in each therapy session. We propose a Transformer-based classification model that has a psychological state encoder which infers the working alliance scores. We evaluate our method in a real-world dataset with over 950 therapy sessions with anxiety, depression, schizophrenia and suicidal patients.
  arXiv  Detail & Related papers  (2022-10-27T16:43:05Z)
• Co-Located Human-Human Interaction Analysis using Nonverbal Cues: A Survey [71.43956423427397]
  We aim to identify the nonverbal cues and computational methodologies resulting in effective performance. This survey differs from its counterparts by involving the widest spectrum of social phenomena and interaction settings. Some major observations are: the most often used nonverbal cue, computational method, interaction environment, and sensing approach are speaking activity, support vector machines, and meetings composed of 3-4 persons equipped with microphones and cameras, respectively.
  arXiv  Detail & Related papers  (2022-07-20T13:37:57Z)
• Deep Annotation of Therapeutic Working Alliance in Psychotherapy [27.80555922579736]
  The therapeutic working alliance is an important predictor of the outcome of the psychotherapy treatment. In this work, we propose an analytical framework of directly inferring the therapeutic working alliance from the natural language within the psychotherapy sessions.
  arXiv  Detail & Related papers  (2022-04-12T04:42:51Z)
• Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations [15.230185998553159]
  We develop a novel dataset, named HOPE, to provide a platform for the dialogue-act classification in counselling conversations. We collect 12.9K utterances from publicly-available counselling session videos on YouTube, extract their transcripts, clean, and annotate them with DAC labels. We propose SPARTA, a transformer-based architecture with a novel speaker- and time-aware contextual learning for the dialogue-act classification.
  arXiv  Detail & Related papers  (2021-11-12T10:30:30Z)
• E-ffective: A Visual Analytic System for Exploring the Emotion and Effectiveness of Inspirational Speeches [57.279044079196105]
  E-ffective is a visual analytic system allowing speaking experts and novices to analyze both the role of speech factors and their contribution in effective speeches. Two novel visualizations include E-spiral (that shows the emotional shifts in speeches in a visually compact way) and E-script (that connects speech content with key speech delivery information.
  arXiv  Detail & Related papers  (2021-10-28T06:14:27Z)
• Perception Point: Identifying Critical Learning Periods in Speech for Bilingual Networks [58.24134321728942]
  We compare and identify cognitive aspects on deep neural-based visual lip-reading models. We observe a strong correlation between these theories in cognitive psychology and our unique modeling.
  arXiv  Detail & Related papers  (2021-10-13T05:30:50Z)
• Few-shot Language Coordination by Modeling Theory of Mind [95.54446989205117]
  We study the task of few-shot $textitlanguage coordination$. We require the lead agent to coordinate with a $textitpopulation$ of agents with different linguistic abilities. This requires the ability to model the partner's beliefs, a vital component of human communication.
  arXiv  Detail & Related papers  (2021-07-12T19:26:11Z)
• Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue [67.89143112645556]
  We provide a NICO robot with the ability to learn the associations between a perceived auditory stimulus and an emotional expression. NICO is able to do this for both individual subjects and specific stimuli, with the aid of an emotion-driven dialogue system. The robot is then able to use this information to determine a subject's enjoyment of perceived auditory stimuli in a real HRI scenario.
  arXiv  Detail & Related papers  (2021-03-05T20:55:48Z)
• Comparison of Speaker Role Recognition and Speaker Enrollment Protocol for conversational Clinical Interviews [9.728371067160941]
  We train end-to-end neural network architectures to adapt to each task and evaluate each approach under the same metric. Results do not depend on the demographics of the Interviewee, highlighting the clinical relevance of our methods.
  arXiv  Detail & Related papers  (2020-10-30T09:07:37Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.