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Andrew Vargo

Osaka Metropolitan University
Graduate School of Informatics
Department of Core Informatics
Intelligent Media Processing Group
Research Associate Professor 


My work focuses on the development of health and 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 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. 

Selected Publications:

Considering Wearable Health Tracking Devices and Pandemic Preparedness for Universities.

Andrew Vargo, Peter Neigel, and Koichi Kise. IEEE Pervasive Computing, 2023. DOI: 10.1109/MPRV.2023.3322460

Examining Participant Adherence with Wearables in an In-the-Wild Setting.

Hannah R. Nolasco, Andrew Vargo, Niklas Bohley, Christian Brinkhaus, and Koichi Kise. Sensors, 2023. DOI: 10.3390/s23146479

Exploring Users’ Ability to Choose a Proper Fit in Smart-Rings: A Year-Long “In the Wild” Study."

Peter Neigel, Andrew Vargo, Yusuke Komatsu, Chris Blakely, and Koichi Kise. Interact 2023, 2023. DOI. 10.1007/978-3-031-42293-5_59

Perception Versus Reality: How User Self-reflections Compare to Actual Data.

Hannah R. Nolasco, Andrew Vargo, Yusuke Komatsu, Motoi Iwata, and Koichi Kise. Interact 2023, 2023. DOI: 10.1007/978-3-031-42286-7_37

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:


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:


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:


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:

Workshop Organization: 

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.

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