I am a 3rd year Computer Science PhD candidate in the Intelligent Interactive Systems Group at Harvard, advised by Krzysztof Gajos and Stuart Shieber. In summer 2017, I was an intern at Microsoft Research in Redmond, working with Daniel McDuff. Before Harvard, I received my Bachelor and Master in Munich, Germany. While in Munich, I conducted research on Speech Emotion Recognition, advised by Björn Schuller. I also spent some time working in South Korea.
I work to advance human-human communication with machine intelligence. While machines have advantages over humans, such as nearly instantaneous access to a large knowledge base, or massive parallelization of structured work, many conversational skills remain unique to humans, such as expressing empathy or being able to solve highly unstructured problems. I believe that these two components will fundamentally transform the way we communicate with each other.
- Huber, B, McDuff D. Facial Expression Grounded Conversational Dialogue Generation. In Automatic Face and Gesture Recognition (FG), 2018. [PDF]
- Huber, B, McDuff D, Brockett C, Galley M, Dolan B. Emotional Dialogue Generation using Image-Grounded Language Models. In Proceedings of CHI'18, 2018. [PDF]
- Huber, B, Reinecke K, Gajos, KZ. The Effect of Performance Feedback on Social Media Sharing at Volunteer-Based Online Experiment Platforms. In Proceedings of CHI'17, 2017. [PDF]
- Strobelt, H., Gehrmann, S., Huber, B., Pfister, H., & Rush, A. M. (2016). Visual analysis of hidden state dynamics in recurrent neural networks. arXiv preprint arXiv:1606.07461. [PDF]
- Williams, JJ., Lombrozo, T, Hsu, A, Huber, B., Kim, J. Revising Learner Misconceptions Without Feedback: Prompting for Reflection on Anomalous Facts. In Proceedings of CHI'16, 2016. Honorable Mention [PDF]
- Eyben F, Huber B, Marchi E, Schuller D, Schuller B. Real-time robust recognition of speakers' emotions and characteristics on mobile platforms. In Proceedings on Affective Computing and Intelligent Interaction (ACII 2015). [PDF]
- Huber B, Lee JH, Park JH. Detecting User Intention at Public Displays from Foot Positions. In Proceedings of CHI'15, 2015. [PDF]
Posters & Demos
- Siangliulue, P., Chan, J., Huber, B., Dow, S. P., & Gajos, K. Z. (2016, February). IdeaHound: Self-sustainable Idea Generation in Creative Online Communities. In Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion (pp. 98-101). ACM. [PDF]
- Huber B, Tausch S, Hußmann H. Supporting debates with a real-time feedback system. CHI'14 Extended Abstracts on Human Factors in Computing Systems (CHI 2014). [PDF]
- Huber B. Foot position as indicator of spatial interest at public displays. CHI'13 Extended Abstracts on Human Factors in Computing Systems (CHI 2013). ACM Student Research Competition Grand Finals First Prize. [PDF]
- Harvard CS279: Topics in Human-Computer Interaction Research (TF Fall 2017)
Harvard CS179: Design of Useful and Usable Interactive Systems (TF Spring 2016)