Osaka Metropolitan University
Graduate School of Informatics
Intelligent Media Processing Group
Research Assistant Professor
My work focuses on the development of educational supplements that harness the power of ubiquitous computing technologies and physiological sensing. In particular, I study confidence estimation and readiness identification through numerous sensing technologies. My work is aimed at developing personalized learning tools which are accessible to all potential users. Research is primarily performed as in-the-wild studies.
Currently, I lead a research group which is using the Oura Ring to study the sleep and activity behavior of approximately 100 participants for an extended period of time. The current goal is to develop appropriate supplementary tasks which can help us build ground-truth data for individuals. We are also studying the relationship between the devices and the participants as they are used in-the-wild.
In addition, I also collaborate on a project which involves development of a new crowdsourcing technique which leverages confidence estimation to optimize task selection. The goal in this case is to use physiological sensing (eye-tracking) to quickly determine if a certain task is a good fit for a worker's abilities, thus reducing the risk of non-payment for poor performance.
Obtaining Labels for In-the-Wild Studies: Using Visual Cues and Recall.
Andrew Vargo, Shoya Ishimaru, MD Rabiul Islam, Benjamin Tag, and Koichi Kise. IEEE Pervasive Computing, 2022. DOI: 10.1109/MPRV.2021.3129500
Impact of the Global Pandemic Upon Young People's Use of Technology for Emotion Regulation.
Benjamin Tag, Niels van Berkel, Andrew W Vargo, Zhanna Sarsenbayeva, Tyler Colasante, Greg Wadley, Sarah Webber, Wally Smith, Peter Koval, Tom Hollenstein, Jorge Goncalves, Vassilis Kostakos, Computers in Human Behavior Reports, 2022. DOI: https://doi.org/10.1016/j.chbr.2022.100192
Exploring Sensor Modalities to Capture User Behaviors for Reading Detection.
MD Rabiul Islam, Andrew W. Vargo, Motoi Iwata, Masakazu Iwamura, Koichi Kise
IEICE TRANSACTIONS on Information and Systems, 2022. DOI: https://doi.org/10.1587/transinf.2020ZDL0003
Self-supervised Learning for Reading Activity Classification.
MD Rabiul Islam, Shuji Sakamoto, Yoshihiro Yamada, Andrew Vargo, Motoi Iwata, Masakazu Iwamura, and Koichi Kise. ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2021. DOI: https://doi.org/10.1145/3478088
Inferring Circadian Rhythms of Cognitive Performance in Everyday Life.
Benjamin Tag, Tilman Dingler, Andrew W. Vargo, and Vassilis Kostakas. IEEE Pervasive Computing, 2020. DOI: 10.1109/MPRV.2020.2994914
Identity and Performance in Q&A.
Andrew W. Vargo and Shigeo Matsubara Behaviour & InformationTechnology, 2018. DOI: https://doi.org/10.1080/0144929X.2018.1474251
Delivering Sensing Technologies for Education and Learning.
Andrew Vargo, Victoria Abou-Khalil, Shoya Ishimaru, Benjamin Tag, Mathilde Hutin, Andreas Dengel, Laurence, Devillers, and Koichi Kise. ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp) and Proceedings of the 2022 ACM International Symposium on Wearable Computers (ISWIC), 2022.
Workshop on Technologies to Support Critical Thinking in an Age of Misinformation.
Tilman Dingler, Benjamin Tag, Philipp Lorenz-Spreen, Andrew W. Vargo, Simon Knight, and Stephan Lewandowsky. The ACM CHI Conference on Human Factors in Computing Systems, 2021.