Date: 14 September, 2023
Time 14:30 – 16:00 (PKT)
The intersection of Artificial Intelligence (AI), Human Computing, and Affective Computing has emerged as a promising area of research, revolutionizing the way machines interact with humans. AI, with its ability to analyze vast amounts of data and make intelligent decisions, has facilitated the development of systems that understand and respond to human emotions. Affective Computing, on the other hand, focuses on enabling machines to recognize, interpret, and respond appropriately to human emotions. By integrating these technologies with Human Computing, which emphasizes human-centered approaches to designing and evaluating interactive systems, we can create more empathetic, intuitive, and user-friendly interfaces.
One of the key applications of this intersection lies in healthcare, where AI, Human Computing, and Affective Computing collaborate to improve patient care. Intelligent systems can monitor patients’ emotional states, detect signs of distress or discomfort, and provide personalized support and interventions. Such systems can also enhance mental health support, providing empathetic virtual companions or therapy tools.
However, several challenges hinder the widespread adoption of this interdisciplinary field. Ethical considerations, privacy concerns, and biases in emotion recognition algorithms pose significant challenges. Ensuring transparency, fairness, and accountability in these systems is crucial to building trust among users and society as a whole.
Looking towards the future, there are numerous exciting directions for further exploration. The combination of AI, Human Computing, and Affective Computing can pave the way for emotionally intelligent virtual assistants, immersive virtual reality experiences, and intelligent tutoring systems that adapt to students’ emotional states. Additionally, advances in neuroimaging and wearable technologies offer the potential to capture physiological responses and brain activity to enhance emotion recognition and personalize interactions further.
The webinar will cover the convergence of AI, Human Computing, and Affective Computing that holds immense potential for transforming various domains, including healthcare, education, entertainment, and more. The talk will discuss the issues researchers must address and the challenges surrounding ethics, privacy, and bias. The aim is to emphasize how to embrace these challenges and explore new frontiers to create AI systems that genuinely understand and respond to human emotions, resulting in more meaningful and empathetic human-machine interactions.
For Virtual participation please register at:, https://forms.gle/WdXpg8yvzXU3copr6
E-certificates will be issued upon complete participation.
Muhammad Haseeb Ahmad
Phone: +92 51 9220681