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Emotional Intelligence in Artificial Intelligence: A Review and Evaluation Study
10 references·0 citing·55 second hop
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(2024)A Prompt Engineering Framework for Large Language Model–Based Mental Health Chatbots: Conceptual Framework (2025)Advancing Mental Health Care: A Comprehensive Review of Digital Tools and Technologies for Enhancing Diagnosis, Treatment, and Wellness (2025)A review of affective computing: From unimodal analysis to multimodal fusion (2017)On the Opportunities and Risks of Foundation Models (2021)Constitutional AI: Harmlessness from AI Feedback (2022)Leveraging Speech PTM, Text LLM, And Emotional TTS For Speech Emotion Recognition (2024)The Evolution of Emotion Research (2026)
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References

  • 2021Artificially intelligent chatbots in digital mental health interventions: a review510 cited
  • 2022Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study197 cited
  • 2024Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond150 cited
  • 2021What makes AI ‘intelligent’ and ‘caring’? Exploring affect and relationality across three sites of intelligence and care101 cited
  • 2021How to feel about emotionalized artificial intelligence? When robot pets, holograms, and chatbots become affective partners87 cited
  • 2022Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis81 cited
  • 2022A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States63 cited
  • 2021An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence50 cited
  • 2024Refashioning Emotion Recognition Modeling: The Advent of Generalized Large Models42 cited
  • 2021The role of spiritual intelligence in predicting the empathy levels of nurses with COVID-19 patients28 cited

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