1 citations · 2 across the 9 of their papers we have counts for
10 papers
Empowering Vocabulary Learning Through Teaching AI: Using LLMs as a Student to Perform Learning by Teaching in Vocabulary Acquisition
Tokio Uchida, Ko Watanabe, Andrew Vargo +5
"Learning by Teaching (LbT)" helps learners deepen their understanding by explaining concepts to others, with questions playing a vital role in identifying knowledge gaps and reinf…
Prediction of Grade, Gender, and Academic Performance of Children and Teenagers from Handwriting Using the Sigma-Lognormal Model
Adrian Iste, Kazuki Nishizawa, Chisa Tanaka +4
Digital handwriting acquisition enables the capture of detailed temporal and kinematic signals reflecting the motor processes underlying writing behavior. While handwriting analysi…
From Pen Strokes to Sleep States: Detecting Low-Recovery Days Using Sigma-Lognormal Handwriting Features
Chisa Tanaka, Andrew Vargo, Anna Scius-Bertrand +2
While handwriting has traditionally been studied for character recognition and disease classification, its potential to reflect day-to-day physiological fluctuations in healthy ind…
How many patients could we save with LLM priors?
Shota Arai, David Selby, Andrew Vargo +1
Imagine a world where clinical trials need far fewer patients to achieve the same statistical power, thanks to the knowledge encoded in large language models (LLMs). We present a n…
Exploring the Alignment of Perceived and Measured Sleep Quality with Working Memory using Consumer Wearables
Peter Neigel, David Antony Selby, Shota Arai +5
Wearable devices offer detailed sleep-tracking data. However, whether this information enhances our understanding of sleep or simply quantifies already-known patterns remains uncle…
AI Solutionism and Digital Self-Tracking with Wearables
Hannah R. Nolasco, Andrew Vargo, Koichi Kise
Self-tracking technologies and wearables automate the process of data collection and insight generation with the support of artificial intelligence systems, with many emerging stud…
A Review of Cognitive Readiness, Wearable Devices, and Prospects
Tasnim Irtifa Chowdhury, Andrew Vargo, Chris Blakely +2
In Human-Computer Interaction (HCI) and Ubiquitous Computing, the objective of optimizing device interactions and personalizing user experiences has placed a new emphasis on accura…
Identifying Periods of Cyclical Stress in University Students Using Wearables In-the-Wild
Peter Neigel, Andrew Vargo, Benjamin Tag +1
University students encounter various forms of stress during their academic journey, including cyclical stress associated with final exams. Supporting their well-being means helpin…
Toxicity and Cultural Entrenchment in Peer-Production Communities: Toward a Handbook on Intelligent System Design
Chris Blakely, Andrew Vargo
Toxicity and abuse are common in online peer-production communities. The social structure of peer-production communities that aim to produce accurate and trustworthy information re…
Self-supervised Deep Learning for Reading Activity Classification
Md. Rabiul Islam, Shuji Sakamoto, Yoshihiro Yamada +4
Reading analysis can give important information about a user's confidence and habits and can be used to construct feedback to improve a user's reading behavior. A lack of labeled d…