May 1, 2020


Andrew Vargo

Research Assistant Professor  Osaka Prefecture University

Keio University Graduate school of Media Design.


“The efficacy of any data analysis first depends on the quality of data collection.”

ABOUT – With an eye towards enhancing communities via technology, Andrew Vargo studies the intersection between humanity and technology. He seeks to maximize productivity, and foster creative problem solving by helping to design communities that promote efficient and socially beneficial consumption and production of information.

Andrew is always seeking new projects and collaborations. At Samcara, he supports team projects with his data science and analysis expertise. He is experienced in both quantitative and qualitative data analysis techniques.

Andrew is also a Research Assistant Professor at Osaka Prefecture University in the Intelligent Media Processing Group

Andrew has a PhD in Social Informatics from the Graduate School of Informatics at Kyoto University and an MS in Information Economics from the University of Michigan.

CURRENT PROJECTS – I focus on social behaviour, sensing, and choice-making in HCI contexts. 


Journal Publications:

Identity and Performance in Q&A.
Andrew W. Vargo and Shigeo Matsubara.
Behaviour and Information Technology, 2018.

International Conferences (Full Papers):
Continuous Alertness Assessments: Using EOG Glasses to Unobtrusively Monitor Fatigue Levels In-The-Wild.
Benjamin Tag, Andrew W. Vargo, Aman Gupta, George Chernyshov, Kai Kunze, and Tilman Dingler.
The ACM CHI Conference on Human Factors in Computing Systems, 2019.

Different Languages, Different Questions: Language Versioning in Q&A.
Andrew W. Vargo, Benjamin Tag, Kai Kunze, and Shigeo Matsubara.
23rd UK Academy for Information Systems International Conference, 2018.

Editing Unfit Questions in Q&A.
Andrew W. Vargo and Shigeo Matsubara
7th International Conference on E-Service and Knowledge Management, 2016.

Corrective or Critical? Commenting on Bad Questions in Q&A.
Andrew W. Vargo and Shigeo Matsubara, iConference, 2016

Invited Talks:
Inferring Fatigue Levels from EOG Sensing in the Wild.
School of Medicine, University of Nottingham, Glasgow, Great Britain.
March 13, 2019

Experts and Social Approval in Online Q&A.

Department of Intelligence Science and Technology, Kyoto University, Japan, November 8, 2016.


Interdisciplinary Education for Design Innovation.
Produced by Toru Ishida, Takushi Sogo, and Andrew Vargo
IEEE Computer, May 2017.