Editing Unfit Questions in Q&A. - Andrew W. Vargo; Shigeo Matsubara (IIAI-AAI, 2016)

Different Languages, Different Questions: Language Versioning in Q&A. - Andrew W. Vargo; Benjamin Tag; Kai Kunze; Shigeo Matsubara (UKAIS, 2018)

Identity and performance in technical Q&A. - Andrew W. Vargo; Shigeo Matsubara (Behav. Inf. Technol., 2018)

Analyses of user behavior and social incentives in Q&A communities. - Andrew W. Vargo (2018)

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; Tilman Dingler (CHI, 2019)

Handwriting behavior as a self-confidence discriminator. - Takanori Maruichi; Taichi Uragami; Andrew Vargo; Koichi Kise (UbiComp/ISWC Adjunct, 2020)

Mobile vocabulometer: a context-based learning mobile application to enhance English vocabulary acquisition. - Kohei Yamaguchi; Motoi Iwata; Andrew Vargo; Koichi Kise (UbiComp/ISWC Adjunct, 2020)

Self-supervised Deep Learning for Reading Activity Classification. - Md. Rabiul Islam 008; Shuji Sakamoto; Yoshihiro Yamada; Andrew Vargo; Motoi Iwata; Masakazu Iwamura; Koichi Kise (CoRR, 2020)

Inferring Circadian Rhythms of Cognitive Performance in Everyday Life. - Benjamin Tag; Tilman Dingler; Andrew W. Vargo; Vassilis Kostakos (IEEE Pervasive Comput., 2020)

Workshop on Technologies to Support Critical Thinking in an Age of Misinformation. - Tilman Dingler; Benjamin Tag; Philipp Lorenz-Spreen; Andrew W. Vargo; Simon Knight 001; Stephan Lewandowsky (CHI Extended Abstracts, 2021)

Exploring Emotional Reappraisal and Repression through Acoustic Mood Self-Tracking. - Hannah R. Nolasco; Matthew Waldman; Andrew W. Vargo (UbiComp/ISWC Adjunct, 2021)

Confidence Estimation via Wrist Movement. - Seiya Tanaka; Andrew W. Vargo; Motoi Iwata; Koichi Kise (UbiComp/ISWC Adjunct, 2021)

Quality Assessment of Crowdwork via Eye Gaze: Towards Adaptive Personalized Crowdsourcing. - Md. Rabiul Islam 008; Shun Nawa; Andrew Vargo; Motoi Iwata; Masaki Matsubara; Atsuyuki Morishima; Koichi Kise (INTERACT (2), 2021)

Self-supervised Learning for Reading Activity Classification. - Md. Rabiul Islam 008; Shuji Sakamoto; Yoshihiro Yamada; Andrew W. Vargo; Motoi Iwata; Masakazu Iwamura; Koichi Kise (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Helping Mobile Learners Know Unknown Words through their Reading Behavior. - Riku Higashimura; Andrew Vargo; Motoi Iwata; Koichi Kise (CHI Extended Abstracts, 2022)

Attaching Microlearning to Existing Habits. - Takumi Nakai; Andrew Vargo; Koichi Kise (UbiComp/ISWC Adjunct, 2022)

Mixed-Methods Self-Tracking: Qualitative Styles of Quantifying the Self. - Hannah R. Nolasco; Andrew Vargo; Koichi Kise (UbiComp/ISWC Adjunct, 2022)

Sleep Quality Tracking and Alignment with a Simple In-the-Wild Task. - Andrew Vargo; Masayuki Fujimoto; Koichi Kise (UbiComp/ISWC Adjunct, 2022)

Learning Cyclotron: An Ecosystem of Knowledge Circulation. - Andrew Vargo; Motoi Iwata; Mathilde Hutin; Sofiya Kobylyanskaya; Ioana Vasilescu; Olivier Augereau; Ko Watanabe 001; Shoya Ishimaru; Benjamin Tag; Tilman Dingler; Koichi Kise; Laurence Devillers; et al. (UbiComp/ISWC Adjunct, 2022)

Delivering Sensing Technologies for Education and Learning. - Andrew Vargo; Victoria Abou Khalil; Shoya Ishimaru; Benjamin Tag; Mathilde Hutin; Andreas Dengel 001; Laurence Devillers; Koichi Kise (UbiComp/ISWC Adjunct, 2022)

Just the Right Amount of Exercise: Aerobic Exercise and Memory. - Andrew Vargo; Kentaro Ohara; Takumi Nakai; Koichi Kise (UbiComp/ISWC Adjunct, 2022)

Towards Guided-Breath as an Intervention Within Computer-Assisted Learning. - Kanta Yamaoka; Andrew Vargo; Motoi Iwata; Koichi Kise (UbiComp/ISWC Adjunct, 2022)

Evaluating Contrastive Learning for Fine-grained Reading Detection. - Md. Rabiul Islam 008; Andrew W. Vargo; Motoi Iwata; Masakazu Iwamura; Koichi Kise (IIAI-AAI, 2022)

Technologies to Support Critical Thinking in an Age of Misinformation (Dagstuhl Seminar 22172). - Tilman Dingler; Benjamin Tag; Andrew Vargo (Dagstuhl Reports, 2022)

Obtaining Labels for In-the-Wild Studies: Using Visual Cues and Recall. - Andrew Vargo; Shoya Ishimaru; Md. Rabiul Islam 008; Benjamin Tag; Koichi Kise (IEEE Pervasive Comput., 2022)

Exploring Sensor Modalities to Capture User Behaviors for Reading Detection. - Md. Rabiul Islam 008; Andrew W. Vargo; Motoi Iwata; Masakazu Iwamura; Koichi Kise (IEICE Trans. Inf. Syst., 2022)

TrackThink Camera: A Tool for Tracking Facial and Body Information while Web Browsing. - Ko Watanabe 001; Seiya Tanaka; Andrew Vargo; Koichi Kise; Shoya Ishimaru (AAGPW@AIED, 2023)

Considerations when automating the assessment and guidance of Project Work (invited paper). - Victoria Abou Khalil; Andrew Vargo; Rwitajit Majumdar; Michele Magno; Manu Kapur (AAGPW@AIED, 2023)

Automated Assessment and Guidance of Project Work. - Victoria Abou Khalil; Andrew Vargo; Rwitajit Majumdar; Michele Magno; Manu Kapur (AIED (Posters/Late Breaking Results/...), 2023)

Combining the Knowledge of Experienced Programmers to Extract Useful Web Resources for Solving Programming Tasks. - Ko Watanabe 001; Hacer Kübra Kücük; Sarah Gonzales; Andrew Vargo; Koichi Kise; Shoya Ishimaru (Asian CHI, 2023)

A Summary of the Workshop on Intelligence Augmentation: Future Directions and Ethical Implications in HCI. - Peter Neigel; Andrew Vargo; Koichi Kise (INTERACT Workshops (2), 2023)

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; Koichi Kise (INTERACT (4), 2023)

Perception Versus Reality: How User Self-reflections Compare to Actual Data. - Hannah R. Nolasco; Andrew Vargo; Yusuke Komatsu; Motoi Iwata; Koichi Kise (INTERACT (3), 2023)

Intelligence Augmentation: Future Directions and Ethical Implications in HCI. - Andrew Vargo; Benjamin Tag; Mathilde Hutin; Victoria Abou Khalil; Shoya Ishimaru; Olivier Augereau; Tilman Dingler; Motoi Iwata; Koichi Kise; Laurence Devillers; Andreas Dengel 001 (INTERACT (4), 2023)

Toxicity and Cultural Entrenchment in Peer-Production Communities: Toward a Handbook on Intelligent System Design. - Chris Blakely; Andrew Vargo (CoRR, 2023)

Poverty Traps in Online Knowledge-Based Peer-Production Communities. - Andrew Vargo; Benjamin Tag; Chris Blakely; Koichi Kise (Informatics, 2023)

Considering Wearable Health Tracking Devices and Pandemic Preparedness for Universities. - Andrew Vargo; Peter Neigel; Koichi Kise (IEEE Pervasive Comput., 2023)

Examining Participant Adherence with Wearables in an In-the-Wild Setting. - Hannah R. Nolasco; Andrew Vargo; Niklas Bohley; Christian Brinkhaus; Koichi Kise (Sensors, 2023)

In-the-Wild Exploration of the Impact of the Lunar Cycle on Sleep in a University Cohort with Oura Rings. - Shota Arai; Andrew Vargo; Benjamin Tag; Koichi Kise (AHs, 2024)

Personalizing Augmented Flashcards Towards Long-Term Vocabulary Learning. - Yuichiro Iwashita; Andrew Vargo; Motoi Iwata; Koichi Kise (AHs, 2024)

Augmenting Sleep Behavior with a Wearable: Can Self-Reflection Help? - Hannah R. Nolasco; Andrew Vargo; Marc Moreeuw; Toma Hara; Koichi Kise (AHs, 2024)

Using Wearables to Unobtrusively Identify Periods of Stress in a Real University Environment. - Peter Neigel; Andrew Vargo; Benjamin Tag; Koichi Kise (ISWC, 2024)

Exploring the Feasibility of a Repeated Mobile One-Minute PVT In-the-Wild. - Tasnim Irtifa Chowdhury; Andrew Vargo; Benjamin Tag; Ryunosuke Nishitomi; Koichi Kise (MobileHCI (Companion), 2024)

Estimating Unknown English Words From User Smartphone Reading Behaviors. - Riku Higashimura; Ko Watanabe 001; Andrew Vargo; Motoi Iwata; Andreas Dengel 001; Koichi Kise (IEEE Access, 2024)

Identifying Periods of Cyclical Stress in University Students Using Wearables In-the-Wild. - Peter Neigel; Andrew Vargo; Benjamin Tag; Koichi Kise (CoRR, 2024)

A Context-Based Multimedia Vocabulary Learning System for Mobile Users. - Andrew Vargo; Kohei Yamaguchi; Motoi Iwata; Koichi Kise (Informatics, 2024)

A Review of Cognitive Readiness, Wearable Devices, and Prospects. - Tasnim Irtifa Chowdhury; Andrew Vargo; Chris Blakely; Benjamin Tag; Koichi Kise (CoRR, 2025)

AI Solutionism and Digital Self-Tracking with Wearables. - Hannah R. Nolasco; Andrew Vargo; Koichi Kise (CoRR, 2025)

Exploring the Alignment of Perceived and Measured Sleep Quality with Working Memory using Consumer Wearables. - Peter Neigel; David Antony Selby; Shota Arai; Benjamin Tag; Niels van Berkel; Sebastian J. Vollmer; Andrew Vargo; Koichi Kise (CoRR, 2025)