Mariana Shimabukuro

@InProceedings{shi2019b,
author = {Mariana Shimabukuro and Christopher Collins},
title = {Cross-Linguistic Word Frequency Visualization for PT and EN},
booktitle = {Proceedings of the IEEE Conference on Information Visualization (Poster)},
year = 2019
}

@InProceedings{shi2019a,
author = {Mariana Shimabukuro and Jessica Zipf and Mennatallah El-Assady and Christopher Collins},
title = {H-Matrix: Hierarchical Matrix for Visual Analysis of Cross-Linguistic Features in Large Learner Corpora},
booktitle = {Proceedings of the IEEE Conference on Information Visualization (short papers)},
year = 2019
}

@article{ale2017a,
title={Perceptual Biases in Font Size as a Data Encoding},
author={Eric Alexander and Chih-Ching Chang and Mariana Shimabukuro and Steven Franconeri and Christopher Collins and Michael Gleicher},
publisher={TVCG Journal},
journal = {IEEE Transactions on Visualization and Computer Graphics},
ISSN = { 1077-2626 },
volume = 24,
Number = {8},
Pages= { 2397–2410},
year=2017,
doi={10.1109/TVCG.2017.2723397}
}

@MastersThesis{shi2017,
title={An Adaptive Crowdsourced Investigation of Word Abbreviation Techniques for Text Visualizations},
author={Mariana Shimabukuro},
year=2017
}

@Article{shi2017a,
author = {Mariana Shimabukuro and Christopher Collins},
title = {Abbreviating Text Labels on Demand},
journal = {Proc. of IEEE Conf. on Information Visualization (InfoVis)},
series = {Poster},
address = {Phoenix, USA},
year = 2017,
note = {Poster Paper}
}

@poster{shi2017p,
author = {Mariana Shimabukuro and Christopher Collins},
title = {Abbreviating Text Labels on Demand},
booktitle = {Proc. of IEEE Conf. on Information Visualization (InfoVis)},
series = {Poster},
address = {Phoenix, USA},
year = 2017,
note = {Poster}
}

@poster{shi2016,
author = {Eric Alexander and Chih-Ching Chang and Mariana Shimabukuro and Steven Franconeri and Christopher Collins and Michael Gleicher},
title = {The Biasing Effect of Word Length in Font Size Encodings},
booktitle = { Proc IEEE Information Visualization (InfoVis), Posters },
series = {Poster},
note = {Honorable Mention for Best Poster},
year = 2016
}

@inproceedings{shimabukuro-etal-2023-evaluating,
    title = "Evaluating Classroom Potential for Card-it: Digital {F}lashcards for Studying and Learning {I}talian Morphology",
    author = "Shimabukuro, Mariana  and
      Zipf, Jessica  and
      Yama, Shawn  and
      Collins, Christopher",
    editor = {Kochmar, Ekaterina  and
      Burstein, Jill  and
      Horbach, Andrea  and
      Laarmann-Quante, Ronja  and
      Madnani, Nitin  and
      Tack, Ana{\"\i}s  and
      Yaneva, Victoria  and
      Yuan, Zheng  and
      Zesch, Torsten},
    booktitle = "Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.bea-1.11",
    doi = "10.18653/v1/2023.bea-1.11",
    pages = "130--136",
}

@inproceedings{10.1145/3672539.3686312,
author = {Leung, Benedict and Shimabukuro, Mariana and Collins, Christopher},
title = {NeuroSight: Combining Eye-Tracking and Brain-Computer Interfaces for Context-Aware Hand-Free Camera Interaction},
year = {2024},
isbn = {9798400707186},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3672539.3686312},
doi = {10.1145/3672539.3686312},
abstract = {Technology has blurred the boundaries of our work and private lives. Using touch-free technology can lessen the divide between technology and reality and bring us closer to the immersion we once had before. This work explores the combination of eye-tracking glasses and a brain-computer interface to enable hand-free interaction with the camera without holding or touching it. Different camera modes are difficult to implement without the use of eye-tracking. For example, visual search relies on an object, selecting a region in the scene by touching the touchscreen on your phone. Eye-tracking is used instead, and the fixation point is used to select the intended region. In addition, fixations can provide context for the mode the user wants to execute. For instance, fixations on foreign text could indicate translation mode. Ultimately, multiple touchless gestures create more fluent transitions between our life experiences and technology.},
booktitle = {Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology},
articleno = {73},
numpages = {3},
keywords = {brain-computer interface, camera, eye-tracking},
location = {Pittsburgh, PA, USA},
series = {UIST Adjunct ’24}
}

@inproceedings{mypaper,
title = {GazeQ-GPT: Gaze-Driven Question Generation for Personalized Learning from Short Educational Videos},
author = {Benedict Leung, Mariana Shimabukuro, Matthew Chan, Christopher Collins},
year = 2025,
booktitle = {Proc. Graphics Interface (GI)}
}

@inproceedings{PanchalDeval2024LCCS,
author = {Panchal, Deval and Collins, Christopher and Shimabukuro, Mariana and Yao, Lining and Lopes, Pedro and Goel, Mayank and Ion, Alexandra},
address = {New York, NY, USA},
booktitle = {Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology},
copyright = {2024 Owner/Author},
isbn = {9798400707186},
language = {eng},
pages = {1-3},
publisher = {ACM},
title = {LingoComics: Co-Authoring Comic Style AI-Empowered Stories for Language Learning Immersion with Story Designer},
year = {2024},
abstract = {In language learning applications, contextualization and immersion rely on real-life communication and remain challenging despite the recent advancements in artificial intelligence (AI) that have significantly impacted educational and language learning experiences. This paper introduces LingoComics, a web application that embeds AI-empowered stories with narrative and comic-style illustrations to enhance contextualization and personalization in language learning. At the core of LingoComics is the Story Designer module, which allows learners to co-author short narratives using a structured set of parameters within a simple user interface. Leveraging OpenAI’s GPT-4-turbo for text completion and DALLE-3 for image generation, the Story Designer generates contextually relatable stories and comic-style images based on user input.
Future work includes user evaluations, activity designs, and additional language learning support features. LingoComics aims to increase learners’ confidence and motivation by enabling personalized, situational language practice, preparing them for real-life communication.},
}