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Mike Schaekermann

University of Waterloo Computer Science Ph.D. candidate with a degree in Medicine

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Publications

Overview


Conference Papers

  1. Resolvable vs. Irresolvable Disagreement: A Study on Worker Deliberation in Crowd Work
    Schaekermann, Mike and Goh, Joslin and Larson, Kate and Law, Edith. In Proceedings of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 18).
    [ Best Paper Award ]
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    @inproceedings{schaekermann_crowd_deliberation_2018,
      address = {New York City, NY},
      author = {Schaekermann, Mike and Goh, Joslin and Larson, Kate and Law, Edith},
      booktitle = {Proceedings of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 18)},
      doi = {10.1145/3274423},
      title = {{Resolvable vs. Irresolvable Disagreement: A Study on Worker Deliberation in Crowd Work}},
      year = {2018},
      note = {Best Paper Award}
    }
    

  2. Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny"
    Schaekermann, Mike and Ribeiro, Giovanni and Wallner, Guenter and Kriglstein, Simone and Johnson, Daniel and Drachen, Anders and Sifa, Rafet and Nacke, Lennart E. In Proceedings of the 2017 SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI PLAY 17).
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    @inproceedings{schaekermann_curiosity_2017,
      address = {Amsterdam, Netherlands},
      author = {Schaekermann, Mike and Ribeiro, Giovanni and Wallner, Guenter and Kriglstein, Simone and Johnson, Daniel and Drachen, Anders and Sifa, Rafet and Nacke, Lennart E},
      booktitle = {Proceedings of the 2017 SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI PLAY 17)},
      doi = {10.1145/3116595.3116603},
      isbn = {9781450348980},
      title = {{Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny"}},
      year = {2017}
    }
    

  3. Online Bayesian Transfer Learning for Sequential Data Modeling
    Jaini, Priyank and Chen, Zhitang and Carbajal, Pablo and Law, Edith and Middleton, Laura and Regan, Kayla and Schaekermann, Mike and Trimponias, George and Tung, James and Poupart, Pascal. In Proceedings of the 5th International Conference on Learning Representations (ICLR 2017).
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    @inproceedings{jaini_transfer_2017,
      archiveprefix = {arXiv},
      arxivid = {arXiv:1412.3121v1},
      author = {Jaini, Priyank and Chen, Zhitang and Carbajal, Pablo and Law, Edith and Middleton, Laura and Regan, Kayla and Schaekermann, Mike and Trimponias, George and Tung, James and Poupart, Pascal},
      booktitle = {Proceedings of the 5th International Conference on Learning Representations (ICLR 2017)},
      eprint = {arXiv:1412.3121v1},
      title = {{Online Bayesian Transfer Learning for Sequential Data Modeling}},
      year = {2017}
    }
    

  4. Testing Incremental Difficulty Design in Platformer Games
    Wehbe, Rina R and Mekler, Elisa D and Schaekermann, Mike and Lank, Edward and Nacke, Lennart E. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI 2017).
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    @inproceedings{wehbe_difficulty_2017,
      address = {New York, New York, USA},
      author = {Wehbe, Rina R and Mekler, Elisa D and Schaekermann, Mike and Lank, Edward and Nacke, Lennart E},
      booktitle = {Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI 2017)},
      doi = {10.1145/3025453.3025697},
      isbn = {9781450346559},
      pages = {5109--5113},
      publisher = {ACM Press},
      title = {{Testing Incremental Difficulty Design in Platformer Games}},
      url = {http://dl.acm.org/citation.cfm?doid=3025453.3025697},
      year = {2017}
    }
    


Workshop Papers

  1. Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis
    Schaekermann, Mike and Law, Edith and Larson, Kate and Lim, Andrew. In 1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing at HCOMP 2018.
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    @inproceedings{schaekermann_sequential_labeling_disagreement_2018,
      address = {Zurich, Switzerland},
      author = {Schaekermann, Mike and Law, Edith and Larson, Kate and Lim, Andrew},
      booktitle = {1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing at HCOMP 2018},
      title = {{Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis}},
      year = {2018}
    }
    

  2. Resolvable vs. Irresolvable Ambiguity: A New Hybrid Framework for Dealing with Uncertain Ground Truth
    Schaekermann, Mike and Law, Edith and Williams, Alex C and Callaghan, William. In 1st Workshop on Human-Centered Machine Learning at SIGCHI 2016.
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    @inproceedings{schaekermann_ambiguity_2016,
      address = {San Jose, CA},
      author = {Schaekermann, Mike and Law, Edith and Williams, Alex C and Callaghan, William},
      booktitle = {1st Workshop on Human-Centered Machine Learning at SIGCHI 2016},
      title = {{Resolvable vs. Irresolvable Ambiguity: A New Hybrid Framework for Dealing with Uncertain Ground Truth}},
      year = {2016}
    }
    

  3. The Big Picture: Preserving Context in the Decomposition of Complex Expert Tasks
    Williams, Alex C and Bradshaw, Josh and Schaekermann, Mike and Tse, Timmy and Callaghan, William and Law, Edith. In 1st Workshop on Microproductivity at SIGCHI 2016.
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    @inproceedings{williams_context_2016,
      address = {San Jose, CA},
      author = {Williams, Alex C and Bradshaw, Josh and Schaekermann, Mike and Tse, Timmy and Callaghan, William and Law, Edith},
      booktitle = {1st Workshop on Microproductivity at SIGCHI 2016},
      title = {{The Big Picture: Preserving Context in the Decomposition of Complex Expert Tasks}},
      year = {2016}
    }
    


Thesis

  1. Implementation of a Collaborative Web Application for Annotating Gameplay Videos Based on Biometric Player Data
    Schaekermann, Mike.
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    @phdthesis{schaekermann_bachelorsthesis_2014,
      author = {Schaekermann, Mike},
      school = {Salzburg University of Applied Sciences},
      title = {{Implementation of a Collaborative Web Application for Annotating Gameplay Videos Based on Biometric Player Data}},
      type = {Bachelor's thesis},
      year = {2014}
    }