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Alexandra Papoutsaki

Assistant Professor of Computer Science
  • Expertise

    Expertise

    Alexandra Papoutsaki studies human-computer interaction, focusing on webcam eye tracking and the effects of shared gaze on remote collaborations. She is also interested in crowdsourcing and personal informatics and used to work on computational biology.

    Research Interests

    • Using webcams to democratize eye tracking
    • Effects of shared gaze on remote collaborations
    • Methods for accurate crowdsourced data
    • How to build technology that supports health and individual goals

    Areas of Expertise

    • Human-Computer Interaction
    • Eye Tracking      
    • Shared Gaze for Remote Collaborations
    • Crowdsourcing
    • Personal Informatics
  • Work

    Work

    “Effects of Shared Gaze on Audio- Versus Text-Based Remote Collaborations,” Grete Helena Kütt, Teerapaun Tanprasert, Jay Rodolitz, Bernardo Moyza, Samuel So, Georgia (2020). In Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-25.

    “Eye-Write: Gaze Sharing for Collaborative Writing,” Grete Helena Kütt, Kevin Lee, Ethan Hardacre, Alexandra Papoutsaki (2019). In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI).

    “The Eye of the Typer: A Benchmark and Analysis of Gaze Behavior during Typing,” Alexandra Papoutsaki, Aaron Gokaslan, James Tompkin, Yuze He, Jeff Huang (2018). In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA).

    “Remotion: A Motion-Based Capture and Replay Platform of Mobile Device Interaction for Remote Usability Testing,” Jing Qian, Arielle Chapin, Alexandra Papoutsaki, Fumeng Yang, Klaas Nelissen, Jeff Huang (2018). In ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).

    “Lessons Learned from Two Cohorts of Personal Informatics Self-Experiments,” Nediyana Daskalova, Karthik Desingh, Alexandra Papoutsaki, Diane Schulze, Han Sha, Jeff Huang (2017). In Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).

    “SearchGazer: Scalable Webcam Eye Tracking for Remote Studies of Web Search,” Alexandra Papoutsaki, James Laskey, Jeff Huang (2017). In Proceedings of the ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR).

    “WebGazer: Scalable Eye Tracking Using User Interactions,” Alexandra Papoutsaki, Patsorn Sangkloy, James Laskey, Nediyana Daskalova, Jeff Huang, James Hays (2016). In Proceedings of the 25th International Joint Conference in Artificial Intelligence (IJCAI).

    “Crowdsourcing from Scratch: A Pragmatic Experiment in Data Collection by Novice Requesters,” Alexandra Papoutsaki, Hua Guo, Danae Metaxa-Kakavouli, Connor Gramazio, Jeff Rasley, Wenting Xie, Guan Wang, Jeff Huang (2015). In Proceedings of the 3rd AAAI Conference on Human Computation and Crowdsourcing (HCOMP).

    “Accurate Computation of Survival Statistics in Genome-Wide Studies,” Fabio Vandin, Alexandra Papoutsaki, Benjamin J. Raphael, Eli Upfal (2015). In Plos Computational Biology.

    “Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes,” Mark D M Leiserson, Fabio Vandin, Hsin-Ta Wu, Jason R Dobson, Jonathan V Eldridge, Jacob L Thomas, Alexandra Papoutsaki, Younhun Kim, Beifang Niu, Michael McLellan, Michael S Lawrence, Abel Gonzalez-Perez, David Tamborero, Yuwei Cheng, Gregory A Ryslik, Nuria  Lopez-Bigas, Gad Getz, Li Ding, Benjamin J Raphael (2015). In Nature Genetics.

    “Genome-Wide Survival Analysis of Somatic Mutations in Cancer,” Fabio Vandin, Alexandra Papoutsaki, Benjamin J. Raphael, Eli Upfal (2013). In Proceedings of the 17th Annual International Conference on Research in Computational Molecular Biology (RECOMB).

  • Education

    Education

    Ph.D., Computer Science, Brown University

    M.Sc., Computer Science, Brown University

    B.Sc., Computer Science, Athens University of Economics and Business

  • Awards & Honors

    Awards & Honors

    Pomona College, Wig Distinguished Professor Award for Excellence in Teaching, 2020

    National Science Foundation CRII Grant, “Gaze Sharing to Support Remote Collaboration,” 2020-2022

    Best Paper Award, Annual International Conference on Research in Computational Molecular Biology (RECOMB)