The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis
BackgroundThe increasing deployment of conversational artificial intelligence (AI) in mental health interventions necessitates an evaluation of their efficacy in rectifying cognitive biases and recognizing affect in human-AI interactions. These biases are particularly relevan...
Saved in:
| Main Authors: | Marcin Rządeczka, Anna Sterna, Julia Stolińska, Paulina Kaczyńska, Marcin Moskalewicz |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-02-01
|
| Series: | JMIR Mental Health |
| Online Access: | https://mental.jmir.org/2025/1/e64396 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Time perception and lived experience in personality disorders: differences across types, dimensions and severity
by: Anna Sterna, et al.
Published: (2025-04-01) -
Center for Artificial Intelligence Challenge on Conversational AI Correctness
by: Marek Kubis, et al.
Published: (2023-09-01) -
An Efficient CMOS RF-DC Rectifier Based on a Dual Dynamic Self-Biasing Approach
by: Ahmed Reda Mohamed, et al.
Published: (2025-01-01) -
Rectifier Filters
by: Y. A. Bladyko
Published: (2010-04-01) -
Education and Career Advancement Opportunities in Polish and English Nursing—A Comparative Study of Intensive Care Unit Nurses
by: Ewelina Wasielewska, et al.
Published: (2024-07-01)