Written By Introduction
The AI chatbot ChatGPT has made a huge impact globally and gained immense popularity, exhibiting its competence in handling natural language with precision while attracting an unparalleled number of users. While ChatGPT’s capabilities in generating theoretical information have been widely recognized, its aptitude for identifying and expressing emotions has remained unexplored. Comprehending one’s own and others’ emotions is heavily reliant on emotional awareness (EA), Thus, it becomes an overarching mechanism for psychopathology. By employing the Levels of Emotional Awareness Scale (LEAS), this research evaluates how well ChatGPT can perceive emotions and measures its results against those expected from a typical individual. In addition, the research explores ChatGPT’s potential for improvement over time and its fit-to-context responses.
Background
Artificial Intelligence in the Mental Health Field
The potential of AI in the mental health domain has garnered considerable interest. From aiding in diagnostics to providing therapeutic support, Artificial intelligence applications have demonstrated their worth in enhancing mental wellness. Nevertheless, there is a constrained evaluation of emotional intelligence in AI systems, resulting in a decision to center this study around ChatGPT
Emotional Awareness
Emotional awareness (EA) is characterized by a person’s intellectual capability to grasp and form ideas about personal including the emotional states of other people with differentiation while maintaining integration. LEAS is a useful tool for assessing emotional comprehension. Offers an objective way to quantify emotional awareness., Gaining significant understanding about emotional comprehension through this measurement..
Methods
Artificial Intelligence Procedure
The study utilized ChatGPT, On both January 19-20, and February fifteen in the year twenty three , there were two separate instances of evaluation, using different versions of ChatGPT. During every assessment, ChatGPT was presented with 20 standard LEAS scenarios to assess its emotional awareness performance.
Input Source
Given that ChatGPT lacks the ability to have emotional experiences, scenarios were modified to replace the instruction “you” with “human”. The task assigned to ChatGPT required it to determine and label the emotions exhibited by both the main character and other characters described in various scenarios.
Results
ChatGPT demonstrated significantly higher EA performance than the general population on all LEAS scales in the first examination (Z score = 2.84). In the second examination, ChatGPT’s performance improved even further, almost attaining the maximum attainable LEAS score (Z score = 4.26). The accuracy levels were also remarkably high (9.7/10), demonstrating ChatGPT’s proficiency in producing suitable EA responses.
Discussion
The study uncovers how ChatGPT exhibits extraordinary emotional awareness abilities that exceed those found in the general population. The profound implications of ChatGPT’s EA-like abilities cannot be overstated. They range from its potential use in cognitive training for clinical populations with EA impairments to psychiatric diagnosis and assessment. Furthermore, the capability of ChatGPT to amplify emotional language also increases its relevance in mental health contexts.
Conclusion
ChatGPT’s pioneering emotional awareness performance signifies a groundbreaking progress in the field of AI capabilities. In clinical settings for cognitive training and mental health applications, the study emphasizes the possible advantages of utilizing ChatGPT. Still, further exploration is justified for a deeper insight into the potential harms and advantages and refine ChatGPT’s potential for promoting mental health.
