Mary Czerwinski
Partner Researcher and Research Manager
About
Mary Czerwinski is a Research Manager of the Human Understanding and Empathy group.
Mary’s research focuses primarily on emotion tracking, information worker task management, health and wellness for individuals and groups. Her background is in visual attention and multitasking. She holds a PhD in Cognitive Psychology from Indiana University in Bloomington. Mary was awarded the ACM SIGCHI Lifetime Service Award, was inducted into the CHI Academy, and became an ACM Distinguished Scientist in 2010. Mary became a Fellow of the ACM in 2016. She also received the Distinguished Alumni award from Indiana University’s Brain and Psychological Sciences department in 2014 and a Distinguished Alumni award from the College of Arts and Sciences from Indiana in February, 2018. Mary became a Fellow of the American Psychological Science association in 2018 and was recognized as an EAI (European Alliance for Innovation) Fellow in 2019.
In the news
4 Interesting New Features From Microsoft's Latest Windows 10 Update // Fortune, April 30, 2018
The new Timeline feature is essentially a way for people to better locate specific files, photos, or videos on their PCs.
Getting good VIBEs from your computer with Dr. Mary Czerwinski
Episode 20, April 18, 2018 - Emotions are fundamental to human interaction, but in a world where humans are increasingly interacting with AI systems, Dr. Mary Czerwinski, Principal Researcher and Research Manager of the Visualization and Interaction for Business and Entertainment group at Microsoft Research, believes emotions may be fundamental to our interactions with machines as well. And through her team’s work in affective computing, the quest to bring Artificial Emotional Intelligence – or AEI – to our computers may be closer than we think. Today, Dr. Czerwinski tells us how a cognitive psychologist found her way into the research division of the world’s largest software company, suggests that rather than trying to be productive 24/7, we should aim for Emotional Homeostasis instead, and tells us how, if we do it right, our machines could become a sort of “emotional at-work DJ,” sensing and responding to our emotional states, and helping us to become happier and more productive at the same time.