Xiang Xiao

PhD Candidate
Department of Computer Science, University of Pittsburgh

Room 5808 Sennott Square
210 South Bouquet Street
Pittsburgh, PA 15260

Email: xiangxiao AT cs.pitt.edu

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About Me

I am a Ph.D. candidate in the Department of Computer Science, University of Pittsburgh. My research area is Human Computer Interaction, especially Mobile interfaces and their applications in education and healthcare. Here is my CV.

My advisor is Dr. Jingtao Wang. I am a member of the MIPS research group at Pitt. My PhD research focuses on using physiological signals collected via the built-in camera of mobile phones to understand, model, and improve learning in mobile Massive Open Online Courses (MOOCs).

Before going to Pittsburgh, I obtained my Bachelor's degree in Software Engineer from Wuhan University in China in 2010.

Research

My research interest is Human Computer Interaction, especially Mobile Interfaces, Intelligent Interactive Systems, Learning Techologies, Machine Learning and Its Application in User Interfaces. I design and prototype intelligent mobile interfaces and interaction techniques, I also conduct formal user studies to evaluate usability and effectiveness of the proposed mobile interfaces. My recent research projects:

AttentiveLearner AttentiveLearner: Improve Mobile MOOC Learning via Implicit Heart Rate Tracking (Homepage)
  • Implemented a mobile learning system that captures learners′ physiological states in MOOC learning through implicit PPG signal sensing via the built-in camera on unmodified mobile phones.
  • Built classifiers to predict learners′ cognitive states (e.g. boredom/disengagement and confusion) using HRV features extracted from the implicitly captured PPG signals.
  • Designed, implemented and evaluated an adaptive intervention technique in the system which detects and responds to learners′ disengagement states in realtime on the mobile device during MOOC learning.
LivePulse LivePulse: Camera Phone Based Heart Rating Monitoring and the Applications (Open Source)
  • Implemented a low-latency, real-time heart rate measurement algorithm working on unmodified smartphones by analyzing the users′ fingertip transparency changes captured by the built-in camera.
  • Designed and created three serious mobile games (using the game engine AndEngine) which integrated users′ camera lens covering actions as essential part of the game so as to detect heart rate implicitly during game play.
LensGesture LensGesture: Augmenting Mobile Interactions with Back-of-Device Finger Gestures (Open Source)
  • Designed, implemented and evaluated a mobile interaction technique which allows users to operate mobile devices by making various finger gestures on the lens of the back camera.
  • On-lens gestures are detected by analyzing images captured by the back camera using machine learning classifiers and the TinyMotion algorithm.
DentalCom DentalCom: A Mobile Application for the Assessment of Dental Trauma
  • Designed and implemented an Android application for patient to remotely interact with their dentists with patient-provided dental information in the event of a dental emergency.

Publications

Xiang Xiao, Jingtao Wang. "Understanding and Detecting Divided Attention in Mobile MOOC Learning." Proceedings of ACM International Conference on Human Factors in Computing Systems. CHI, 2017.(to appear)

Xiang Xiao, Jingtao Wang. "Context and Cognitive State Triggered Interventions for Mobile MOOC Learning." Proceedings of ACM International Conference on Multimodal Interaction. ICMI, 2016.[pdf][website]

Corey D. Stein, Xiang Xiao, Steven Levine, Titus KL Schleyer, Harry Hochheiser, and Thankam P. Thyvalikakath. "A Prototype Mobile Application for Triaging Dental Emergencies." The Journal of the American Dental Association. May 17, 2016.[pdf]

Xiang Xiao, Jingtao Wang. "Towards Attentive, Bi-directional MOOC Learning on Mobile Devices" Proceedings of ACM International Conference on Multimodal Interaction. ICMI, 2015.[pdf][website][Best Paper Nomination]

Xiang Xiao, Phuong Pham, Jingtao Wang. "AttentiveLearner: Adaptive Mobile MOOC Learning via Implicit Cognitive State Inference" Proceedings of ACM International Conference on Multimodal Interaction. ICMI, 2015.[pdf][website][Demonstration]

Teng Han, Xiang Xiao, Lanfei Shi, John Canny, Jingtao Wang. "Balancing Accuracy and Fun: Designing Engaging Camera Based Mobile Games for Implicit Heart Rate Monitoring" Proceedings of ACM International Conference on Human Factors in Computing Systems. CHI, 2015.[pdf][website]

Teng Han, Lanfei Shi, Xiang Xiao, John Canny, Jingtao Wang. "Designing Engaging Camera Based Mobile Games for Implicit Heart Rate Monitoring" Work-In-Progress of ACM Conference on Human Factors in Computing Systems. CHI, 2014.[pdf][website]

Xiao, Xiang, Teng Han, and Jingtao Wang. "LensGesture: augmenting mobile interactions with back-of-device finger gestures" Proceedings of the 15th ACM on International conference on multimodal interaction. ICMI, 2013.[pdf][website]

Teaching

Recitation

CS1501 – Algorithm Implementation, Summer 2011, Spring 2015

CS1502 – Formal Methods in Computer Science, Spring 2014

CS0441 – Discrete Structures for Computer Science, Fall 2013

CS1555 – Database Management Systems (CS 2055), Fall 2011

CS0445 – Data Structure, Summer 2011

Grading

CS2610 – Research Topics in Human-Computer Interaction, Fall 2014, 2015

CS1635 – Interface Design Methodology, Spring 2013, 2016

CS1653 – Applied Cryptography and Network Security, Spring 2012, 2013

CS2520 – Wide Area Networks, Spring 2012

Courses Taken

CS2001Research Topics in Computer Science
CS2002Research Experience in Computer Science
CS2150Design and Analysis of Algorithms
CS2410Computer Architecture
CS2510Computer Operating Systems
CS2530Computer and Network Security
CS2610Interface Design and Evaluation
CS2710Foundations of Artifical Intelligence
CS2750Machine Learning
CMHCI 0833Applied Gadgets, Sensors and Activity Recognition in HCI(CMU)
CS3525Advanced Topics in Security and Privacy
CS3570Advanced Topics in User Interface
CS3610Advanced Topics in Graphics


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