Andrew W. Vargo

dblp:218/8595 · also Andrew Vargo · DBLP profile ↗
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7ranked-venue papers
2as first author
5since 2021 · last 2026
0000-0001-6605-0113ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 6 · 2 first-author · 4 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
YearPublicationVenuePosition
2026 Prediction of Grade, Gender, and Academic Performance of Children and Teenagers from Handwriting Using the Sigma-Lognormal Model
Adrian Iste, Kazuki Nishizawa, Chisa Tanaka, Andrew W. Vargo, Anna Scius-Bertrand, Koichi Kise
ICDAR (3)4
2023 Exploring Users' Ability to Choose a Proper Fit in Smart-Rings: A Year-Long "In the Wild" Study
Peter Neigel, Andrew W. Vargo, Yusuke Komatsu, Chris Blakely, Koichi Kise
INTERACT (4)2
2023 Perception Versus Reality: How User Self-reflections Compare to Actual Data
Hannah R. Nolasco, Andrew W. Vargo, Yusuke Komatsu, Motoi Iwata, Koichi Kise
INTERACT (3)2
2023 Intelligence Augmentation: Future Directions and Ethical Implications in HCI
Andrew W. Vargo, Benjamin Tag, Mathilde Hutin, Victoria Abou Khalil, Shoya Ishimaru, Olivier Augereau, Tilman Dingler, Motoi Iwata, Koichi Kise, Laurence Devillers, Andreas Dengel 0001
INTERACT (4)1
2021 Quality Assessment of Crowdwork via Eye Gaze: Towards Adaptive Personalized Crowdsourcing
Md. Rabiul Islam 0008, Shun Nawa, Andrew W. Vargo, Motoi Iwata, Masaki Matsubara, Atsuyuki Morishima, Koichi Kise
INTERACT (2)3
2019 Continuous Alertness Assessments: Using EOG Glasses to Unobtrusively Monitor Fatigue Levels In-The-Wild
abstract
As the day progresses, cognitive functions are subject to fluctuations. While the circadian process results in diurnal peaks and drops, the homeostatic process manifests itself in a steady decline of alertness across the day. Awareness of these changes allows the design of proactive recommender and warning systems, which encourage demanding tasks during periods of high alertness and flag accident-prone activities in low alertness states. In contrast to conventional alertness assessments, which are often limited to lab conditions, bulky hardware, or interruptive self-assessments, we base our approach on eye blink frequency data known to directly relate to fatigue levels. Using electrooculography sensors integrated into regular glasses' frames, we recorded the eye movements of 16 participants over the course of two weeks in-the-wild and built a robust model of diurnal alertness changes. Our proposed method allows for unobtrusive and continuous monitoring of alertness levels throughout the day.
Benjamin Tag, Andrew W. Vargo, George Chernyshov, Kai Kunze, Tilman Dingler
CHI2
2018 Identity and performance in technical Q&A
abstract
Identity and the different roles identities play in social question-answering communities have long been discussed from both a theoretical and empirical standpoint. Identity is usually analysed in ways that emphasise a transaction, and many studies use third-party raters to assign value judgements to these factors, which may not be relevant to a community. In this article, we examine identity in Stack Overflow, a question and answer site dedicated to solving computer-programming problems, which has a competitive community run reputation system. Profiles on Stack Overflow are highly customizable, allowing users to choose the level of personal information they want to share: from extensive to none. We develop a categorisation scheme using grounded theory to develop definitions of identity, and analyse behaviour based on these definitions. We find that the choice of identity is diverse within the community and that there is a correlation with identifiers and increased reputation earning among the general population. An analysis of elite users, however, indicates that identity is closely tied to membership length, but not to performance. The results indicate that allowing identity choices does affect system efficacy or user outcomes.
Andrew W. Vargo, Shigeo Matsubara
Behav. Inf. Technol.1