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Building socially engaging robots and interactive technologies to help people live healthier lives, connect with others, and learn better
Augmenting and mediating human experience, interaction, and perception with sensor networks
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Could a social robot collaboratively exchange stories with children as a peer and help improve their linguistic and storytelling skills? ...
Realtime detection of social cues in children’s voicesIn everyday conversation, people use what are known as backchannels to signal to so...
Machine learning model outperforms human judgementOur computational trust model is capable of predicting—above human accuracy—the degree ...
Understanding social-emotional behaviors in storytelling interactions plays a critical role in the development of interactive and educati...
Emotionally supportive robots improve overall team functioning!
A social robot modifies its behavior to change what you think about it!
D DeSteno, C Breazeal, R Frank, D Pizarro, J Baumann, L Dickens, JJ Lee (2012). Detecting the Trustworthiness of Novel Partners in Economic Exchange. Psychological Science.
Unconventional mixing of research fields introduces a new method to study human behavior using social robots.
Hae Won Park, Mirko Gelsomini, Jin Joo Lee, and Cynthia Breazeal. 2017. Telling Stories to Robots: The Effect of Backchanneling on a Child's Storytelling. In Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (HRI '17).
Emotion recognition modeled as a goal-directed process!
Jin Joo Lee. Modeling the Dynamics of Nonverbal Behavior on Interpersonal Trust for Human-Robot Interactions. Masters Thesis, Massachusetts Institute of Technology, 2011.
JJ Lee, WB Knox, JB Wormwood, C Breazeal, D DeSteno (2013). Computationally Modeling Interpersonal Trust. Frontiers in Psychology.
Jin Joo Lee. A Bayesian Theory of Mind Approach to Nonverbal Communication for Human-Robot Interactions. PhD Thesis, Massachusetts Institute of Technology, 2017.
HW Park, M Gelsomini, JJ Lee, T Zhu, and C Breazeal (2017). Backchannel Opportunity Prediction for Social Robot Listeners. In Proceedings of the International Conference on Robotics and Automation (ICRA).
Light enables our visual perception. It is the most common medium for displaying digital information. Light regulates our circadian rhyth...
Rhythm is a collection of open-source tools to make it easier for researchers to examine, analyze, and augment human interaction. Rh...