[Person photo]

Xiang Xiao

Graduate Student, Dr. Wang

School of Arts and Sciences

Computer Science

Faculty Advisor: Jingtao Wang

Xiao, X., Wang, J. (2016). Context and cognitive state triggered interventions for mobile MOOC learning. Proceedings of the 18th ACM International Conference on Multimodal Interaction, Tokyo, Japan, 12-16 November (pp. 378-385). New York, NY: ACM.

Xiao, X., Wang, J. (2015). Towards Attentive, Bi-directional MOOC Learning on Mobile Devices. Proceedings of the 2015 ACM on International Conference on Multimodal Interaction. 163-170.

Han, T., Xiao, X., Shi, L., Canny, J., & Wang, J. (2015). Balancing accuracy and fun: Designing camera based mobile games for implicit heart rate monitoring. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 847-856.

Han, T., Shi, L., Xiao, X., Canny, J., & Wang, J. (2014). Designing Engaging Camera Based Mobile Games for Implicit Heart Rate Monitoring, In Work-In-Progress of ACM Conference on Human Factors in Computing Systems (CHI 2014), Toronto, Canada.

Xiao, X., Han, T., & Wang, J. (2013). LensGesture: Augmenting Mobile Interactions with Back-of-device Finger Gestures. In Proceedings of ACM International Conference on Multimodal Interaction (ICMI 2013), Sydney, Australia.

LRDC Research Scientist and Assistant Professor in Computer Science, Jingtao Wang, and his student Xiang Xiao's paper "Understanding and Detecting Divided Attention in Mobile MOOC Learning" has been selected by the CHI 2017 program committee as part of the official press release by ACM CHI 2017 on AttentiveLearner.

February 2017

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