Publication

Small cities face greater impact from automation

Small cities face greater impact from automation Morgan R. Frank, Lijun Sun, Manuel Cebrian, Hyejin Youn, Iyad Rahwan J. R. Soc. Interface 2018 15 20170946; DOI: 10.1098/rsif.2017.0946. Published 7 February 2018

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Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy

Rudovic, O., Lee, J., Dai, M., Schuller, B., Picard, R. "Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy," arXiv preprint: https://arxiv.org/abs/1802.01186, Feb 2018.

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Cooperating with machines

Jacob W. Crandall, Mayada Oudah, Tennom, Fatimah Ishowo-Oloko, Sherief Abdallah, Jean-François Bonnefon, Manuel Cebrian, Azim Shariff, Michael A. Goodrich , Iyad Rahwan . Nature Communications, 2018.

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Calibration Invariant Imaging with Deep Learning

Guy Satat, Matthew Tancik, Otkrist Gupta, Barmak Heshmat, and Ramesh Raskar, "Object classification through scattering media with deep learning on time resolved measurement," Opt. Express 25, 17466-17479 (2017)

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Printflatables: Printing Human-scale, Functional and Dynamic Inflatable Objects

Proceeding CHI '17 Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems Pages 3669-3680 Denver, Colorado, USA — May 06 - 11, 2017 ACM New York, NY, USA ©2017

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Zensei: Embedded, Multi-electrode Bioimpedance Sensing for Implicit, Ubiquitous User Recognition

Munehiko Sato, Rohan S. Puri, Alex Olwal, Yosuke Ushigome, Lukas Franciszkiewicz, Deepak Chandra, Ivan Poupyrev, and Ramesh Raskar. 2017. Zensei: Embedded, Multi-electrode Bioimpedance Sensing for Implicit, Ubiquitous User Recognition. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 3972-3985.

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Agent-Based Visualization: A Real-Time Visualization Tool Applied Both to Data and Simulation Outputs

Arnaud Grignard, Alexis Drogoul - Agent-Based Visualization: A Real-Time Visualization Tool Applied Both to Data and Simulation Outputs - The AAAI-17 Workshop on Human-Machine Collaborative Learning - 2017

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Telling Stories to Robots: The Effect of Backchanneling on a Child's Storytelling

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).

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Organic Primitives: Synthesis and Design of pH-Reactive Materials

Viirj Kan, Emma Vargo, Noa Machover, Hiroshi Ishii, Serena Pan, Weixuan Chen, and Yasuaki Kakehi. 2017. Organic Primitives: Synthesis and Design of pH-Reactive Materials using Molecular I/O for Sensing, Actuation, and Interaction. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 989-1000. DOI: https://doi.org/10.1145/3025453.3025952

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How to Train Your DragonBot: Socially Assistive Robots for Teaching Children About Nutrition Through Play

E Short, K Swift-Spong, J Greczek, A Ramachandran, A Litoiu, E Grigore, D Feil- Seifer, S Shuster, JJ Lee, et al (2014). "How to Train Your DragonBot: Socially Assistive Robots for Teaching Children About Nutrition Through Play." In Proceedings of the International Symposium on Robot and Human Interactive Communication (Edinburgh, UK).