In this episode of The WPI Podcast, Erin Solovey, associate professor in the Department of Computer Science, introduces the concept of “thinking with AI,” a vision of human-centered intelligent systems designed as collaborative partners that enhance decision-making and creativity. She also discusses her research that seeks to make technology more intuitive and responsive. Solovey’s work lies at the intersection of AI, human-computer interaction, and neuroscience and is focused on how people interact with artificial intelligence.
Related links:
Human-Computer Interaction Lab
Interacting with AI at Work: Perceptions and Opportunities from the UK Judiciary
In this episode of The WPI Podcast, Erin Solovey, associate professor in the Department of Computer Science, introduces the concept of “thinking with AI,” a vision of human-centered intelligent systems designed as collaborative partners that enhance decision-making and creativity. She also discusses her research that seeks to make technology more intuitive and responsive. Solovey’s work lies at the intersection of AI, human-computer interaction, and neuroscience and is focused on how people interact with artificial intelligence.
Related links:
Human-Computer Interaction Lab
Interacting with AI at Work: Perceptions and Opportunities from the UK Judiciary
Chronic pain affects millions of Americans and too often leads to dependence on opioids for relief. But what if doctors could predict, before writing a prescription, whether a patient would respond better to non-drug therapies like meditation?
This episode explores groundbreaking research at Worcester Polytechnic Institute (WPI) that combines neuroscience, data science, and artificial intelligence to personalize pain treatment with guests Benjamin Nephew, assistant research professor, biology and biotechnology, and Emmanuel Agu, Harold L. Jurist ’61 and Heather E. Jurist Dean’s Professor of Computer Science.
The study “Integrative Mindfulness-based Predictive Approach for Chronic low back pain Treatment" or IMPACT is funded by the National Institutes of Health (NIH) HEAL (Helping to End Addiction Long-term) initiative.