Scaffolding Empathy: Training Counselors with Simulated Patients and Utterance-level Performance Visualizations
Fuente:
arXiv
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866912247279779840 |
|---|---|
| author | Steenstra, Ian Nouraei, Farnaz Bickmore, Timothy W. |
| author_facet | Steenstra, Ian Nouraei, Farnaz Bickmore, Timothy W. |
| contents | Learning therapeutic counseling involves significant role-play experience with mock patients, with current manual training methods providing only intermittent granular feedback. We seek to accelerate and optimize counselor training by providing frequent, detailed feedback to trainees as they interact with a simulated patient. Our first application domain involves training motivational interviewing skills for counselors. Motivational interviewing is a collaborative counseling style in which patients are guided to talk about changing their behavior, with empathetic counseling an essential ingredient. We developed and evaluated an LLM-powered training system that features a simulated patient and visualizations of turn-by-turn performance feedback tailored to the needs of counselors learning motivational interviewing. We conducted an evaluation study with professional and student counselors, demonstrating high usability and satisfaction with the system. We present design implications for the development of automated systems that train users in counseling skills and their generalizability to other types of social skills training. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_18673 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Scaffolding Empathy: Training Counselors with Simulated Patients and Utterance-level Performance Visualizations Steenstra, Ian Nouraei, Farnaz Bickmore, Timothy W. Human-Computer Interaction Computation and Language Multiagent Systems Learning therapeutic counseling involves significant role-play experience with mock patients, with current manual training methods providing only intermittent granular feedback. We seek to accelerate and optimize counselor training by providing frequent, detailed feedback to trainees as they interact with a simulated patient. Our first application domain involves training motivational interviewing skills for counselors. Motivational interviewing is a collaborative counseling style in which patients are guided to talk about changing their behavior, with empathetic counseling an essential ingredient. We developed and evaluated an LLM-powered training system that features a simulated patient and visualizations of turn-by-turn performance feedback tailored to the needs of counselors learning motivational interviewing. We conducted an evaluation study with professional and student counselors, demonstrating high usability and satisfaction with the system. We present design implications for the development of automated systems that train users in counseling skills and their generalizability to other types of social skills training. |
| title | Scaffolding Empathy: Training Counselors with Simulated Patients and Utterance-level Performance Visualizations |
| topic | Human-Computer Interaction Computation and Language Multiagent Systems |
| url | https://arxiv.org/abs/2502.18673 |