The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Emotional Intelligence and Empathy in Human-GenAI Interactions
Abstract
The integration of emotional intelligence and empathy into Generative Artificial Intelligence (GenAI) systems is transforming human-technology interactions, raising critical questions about the capabilities, limitations, and ethical implications of emotionally responsive AI. While human emotions are deeply rooted in neural circuits involving the amygdala, prefrontal cortex, and insular cortex, AI lacks the intrinsic experience and biological basis to genuinely feel emotions. Instead, AI models attempt to simulate emotional intelligence through sentiment analysis, affective computing, and machine learning algorithms that analyze human expressions, speech, and physiological signals. These technologies enable AI to recognize and respond to emotional cues, creating interactions that feel more natural and engaging. However, challenges persist in accurately interpreting complex emotions, understanding cultural and contextual nuances, and ensuring fairness in emotion recognition.
Related Content
|
Bikash Kumar, Rhythm Gaba, Rabi Shaw.
© 2026.
40 pages.
|
|
R. Velmurugan, J. Sudarvel, R. Bhuvaneswari, Ravi Thirumalaisamy.
© 2026.
28 pages.
|
|
J. Vijaya, Soumya Chandrakar, Pragya Shrivastava.
© 2026.
42 pages.
|
|
Yamini Ghanghorkar, Amruta Deshpande.
© 2026.
28 pages.
|
|
B. Bharathi, B. Kalaivani, Kasu Manaswi, Kantabathina Tejaswini.
© 2026.
28 pages.
|
|
Moumita Chowdhury, Aastha Agarwal, Alisha Parveen, Abhishek Mukhopadhyay.
© 2026.
42 pages.
|
|
Utkarsh Trivedi, Yash Vardhan, Piyush Kumar, Ansh Aryan, Parth Batra, Hitesh Mohapatra.
© 2026.
28 pages.
|
|
|