In this riveting interview, we have Dr. Marc Lanovaz, a University of Montreal professor at the forefront of integrating data science and machine learning in behavioral healthcare. We discuss the impact of cultural relevancy in behavior analysis, how machine learning can improve clinical decision-making in mental health, and a groundbreaking virtual reality application simulating the world from an autistic perspective. The discussion also delves into the utilization of machine learning in tracking and predicting behavior changes and workplace stress. Moreover, Dr. Lanovaz underlines the significance of reinforcement in behavior therapy and its potential in data-driven applications that could revolutionize behavioral science and mental health care.
Advancing Behavioral Healthcare through VR & Machine Learning: A Conversation with Dr. Marc Lanovaz
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Fail First To Win
In school, when teachers ask questions, many kids might know the answer, but are too shy or nervous or unsure of themselves to raise their hands, get the correct answer and begin the positive feedback loop for confidence by receiving affirmation from themselves and their community. On curaJOY’s website, we discuss how children develop confidence.…
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Thinking Outside of
the BoxYourself for a Happier LifeMuch of our own unhappiness and the world’s problems disappear when we can put ourselves in someone else’s shoes. Everyone has a different story, and understanding their perspectives not only makes you feel better about any situation (even upsetting ones) but also improves your overall happiness. Babies start out in life completely egocentric, only aware…
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