Tech Talk: Emotional Intelligence in AI
Emotion AI analyzes emotional cues to improve human–machine interaction, complementing but not replacing human emotional intelligence.
The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):
Speaker: Dr.K.Venkata Nagendra (Connect on LinkedIn)
Title: Emotional Intelligence in AI
Abstract: AI emotional intelligence, also known as emotion AI or affective computing, is the ability of AI to detect, interpret, and simulate human emotions using through facial expressions, body language, voice tone and other cues. While AI can analyze emotional cues and even generate responses that seem empathetic, it lacks true consciousness, empathy, and personal experience, which are fundamental to genuine emotional intelligence. Instead of replacing human emotional intelligence, AI serves as a tool that can enhance it by providing insights, analyzing data at scale, and creating more natural human-machine interactions. AI technology uses various methods to recognize and respond to human emotions, including: Facial Recognition Technology is used to analyze facial expressions and detect emotions such as happiness, sadness, anger, and fear. This technology uses algorithms to analyze facial features such as the shape of the mouth, eyes, and eyebrows. And another one, Voice Recognition Technology is used to analyze the tone and pitch of a person's voice to detect emotions such as happiness, sadness, and anger. This technology uses machine learning algorithms to analyze speech patterns and identify emotional cues. The Benefits of Emotional Intelligence in AI, Creating More Meaningful Interactions between Humans and Machines, Enhanced education, shaping the Future of AI.
Bio: Dr. Kolluru Venkata Nagendra, graduated from Sri Venkateswara University in Tirupathi with a bachelor's degree in computer science. He later graduated from Jawaharlal Nehru Technological University in Hyderabad with a master's degree in computer applications. After that, he graduated from Acharya Nagarjuna University in Guntur with a Master of Technology in Computer Science and Engineering. Additionally, he graduated from Vikrama Simhapuri University in Nellore, Andhra Pradesh, with a Ph.D. in computer science. He graduated from Srinivasa University in Mangalore with a PDF (Post Doctoral Fellowship) in CSE. In addition to writing numerous computer science textbooks, Dr. Nagendra is the author of more than 70 research papers that have been published in journals with UGC and Scopus indexes. He served as a judge and reviewer for numerous conferences and journals. Having worked at several engineering colleges for more than 17 years, he is currently employed SRKR Engineering College, Bhimavaram, Andhra Pradesh. His research interests encompass Machine Learning, Deep Learning, and Data Mining.
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Speakers
Dr. K.Venkata Nagendra
Emotional Intelligence in AI
AI emotional intelligence, also known as emotion AI or affective computing, is the ability of AI to detect, interpret, and simulate human emotions using through facial expressions, body language, voice tone and other cues. While AI can analyze emotional cues and even generate responses that seem empathetic, it lacks true consciousness, empathy, and personal experience, which are fundamental to genuine emotional intelligence. Instead of replacing human emotional intelligence, AI serves as a tool that can enhance it by providing insights, analyzing data at scale, and creating more natural human-machine interactions. AI technology uses various methods to recognize and respond to human emotions, including: Facial Recognition Technology is used to analyze facial expressions and detect emotions such as happiness, sadness, anger, and fear. This technology uses algorithms to analyze facial features such as the shape of the mouth, eyes, and eyebrows. And another one, Voice Recognition Technology is used to analyze the tone and pitch of a person's voice to detect emotions such as happiness, sadness, and anger. This technology uses machine learning algorithms to analyze speech patterns and identify emotional cues. The Benefits of Emotional Intelligence in AI, Creating More Meaningful Interactions between Humans and Machines, Enhanced education, shaping the Future of AI.
Biography:
Dr. Kolluru Venkata Nagendra, graduated from Sri Venkateswara University in Tirupathi with a bachelor's degree in computer science. He later graduated from Jawaharlal Nehru Technological University in Hyderabad with a master's degree in computer applications. After that, he graduated from Acharya Nagarjuna University in Guntur with a Master of Technology in Computer Science and Engineering. Additionally, he graduated from Vikrama Simhapuri University in Nellore, Andhra Pradesh, with a Ph.D. in computer science. He graduated from Srinivasa University in Mangalore with a PDF (Post Doctoral Fellowship) in CSE. In addition to writing numerous computer science textbooks, Dr. Nagendra is the author of more than 70 research papers that have been published in journals with UGC and Scopus indexes. He served as a judge and reviewer for numerous conferences and journals. Having worked at several engineering colleges for more than 17 years, he is currently employed SRKR Engineering College, Bhimavaram, Andhra Pradesh. His research interests encompass Machine Learning, Deep Learning, and Data Mining.