Evaluating user performance in 3D stereo and motion enabled video games. - Arun K. Kulshreshth; Jonas Schild; Joseph J. LaViola Jr. (FDG, 2012)

Poster: Real-time markerless kinect based finger tracking and hand gesture recognition for HCI. - Arun K. Kulshreshth; Christopher Zorn; Joseph J. LaViola Jr. (3DUI, 2013)

Evaluating performance benefits of head tracking in modern video games. - Arun K. Kulshreshth; Joseph J. LaViola Jr. (SUI, 2013)

Exploring the usefulness of finger-based 3D gesture menu selection. - Arun K. Kulshreshth; Joseph J. LaViola Jr. (CHI, 2014)

Exploring 3D User Interface Technologies for Improving the Gaming Experience. - Arun K. Kulshreshth; Joseph J. LaViola Jr. (CHI, 2015)

Enhanced Depth Discrimination Using Dynamic Stereoscopic 3D Parameters. - Arun K. Kulshreshth; Joseph J. LaViola Jr. (CHI Extended Abstracts, 2015)

Dynamic Stereoscopic 3D Parameter Adjustment for Enhanced Depth Discrimination. - Arun K. Kulshreshth; Joseph J. LaViola Jr. (CHI, 2016)

AnalyticalInk: An Interactive Learning Environment for Math Word Problem Solving. - Bo Kang; Arun K. Kulshreshth; Joseph J. LaViola Jr. (IUI, 2016)

Enhancing the Gaming Experience Using 3D Spatial User Interface Technologies. - Arun K. Kulshreshth; Kevin Pfeil; Joseph J. LaViola (IEEE Computer Graphics and Applications, 2017)

A comparison of eye-head coordination between virtual and physical realities. - Kevin Pfeil; Eugene M. Taranta II; Arun K. Kulshreshth; Pamela J. Wisniewski; Joseph J. LaViola Jr. (SAP, 2018)

Designing Immersive Video Games Using 3DUI Technologies - Improving the Gamer's User Experience - Arun K. Kulshreshth; Joseph J. LaViola Jr. (Springer, 2018)

Exploring the Effects of Stereoscopic 3D on Gaming Experience Using Physiological Sensors. - Ekram Hossain; Arun K. Kulshreshth (SUI, 2019)

Gaze Data Visualizations for Educational VR Applications. - Yitoshee Rahman; Sarker Monojit Asish; Adil Khokhar; Arun K. Kulshreshth; Christoph W. Borst (SUI, 2019)

Exploring Eye Gaze Visualization Techniques for Identifying Distracted Students in Educational VR. - Yitoshee Rahman; Sarker Monojit Asish; Nicholas P. Fisher; Ethan C. Bruce; Arun K. Kulshreshth; Christoph W. Borst (VR, 2020)

Deep Learning on Eye Gaze Data to Classify Student Distraction Level in an Educational VR Environment. - Sarker Monojit Asish; Ekram Hossain; Arun K. Kulshreshth; Christoph W. Borst (ICAT-EGVE, 2021)

Supervised vs Unsupervised Learning on Gaze Data to Classify Student Distraction Level in an Educational VR Environment. - Sarker Monojit Asish; Arun K. Kulshreshth; Christoph W. Borst (SUI, 2021)

An Interface for Enhanced Teacher Awareness of Student Actions and Attention in a VR Classroom. - David M. Broussard; Yitoshee Rahman; Arun K. Kulshreshth; Christoph W. Borst (VR Workshops, 2021)

Visual Indicators for Monitoring Students in a VR class. - David M. Broussard; Yitoshee Rahman; Arun K. Kulshreshth; Christoph W. Borst (VR Workshops, 2021)

Detecting Internal Distraction in an Educational VR Environment Using EEG Data. - Sarker Monojit Asish; Arun K. Kulshreshth; Christoph W. Borst (SUI, 2022)

Detecting distracted students in educational VR environments using machine learning on eye gaze data. - Sarker Monojit Asish; Arun K. Kulshreshth; Christoph W. Borst (Comput. Graph., 2022)

User Identification Utilizing Minimal Eye-Gaze Features in Virtual Reality Applications. - Sarker Monojit Asish; Arun K. Kulshreshth; Christoph W. Borst (Virtual Worlds, 2022)

Internal Distraction Detection Utilizing EEG Data in an Educational VR Environment. - Sarker Monojit Asish; Arun K. Kulshreshth; Christoph W. Borst (SAP, 2023)

Comparing Visualizations to Help a Teacher Effectively Monitor Students in a VR Classroom. - Yitoshee Rahman; Arun K. Kulshreshth; Christoph W. Borst (ISMAR, 2023)

Detecting Distracted Students in an Educational VR Environment Utilizing Machine Learning on EEG and Eye-Gaze Data. - Sarker Monojit Asish; Arun K. Kulshreshth; Christoph W. Borst (VR Workshops, 2023)

Exploring the Usefulness of Visual Indicators for Monitoring Students in a VR-based Teaching Interface. - Yitoshee Rahman; Arun K. Kulshreshth; Christoph W. Borst (VR Workshops, 2023)

Study of Visual Guidance Cues in VR Field Trips at High Schools. - Jason Wolfgang Woodworth; Christoph W. Borst; Yitoshee Rahman; Arun K. Kulshreshth (VRST, 2023)

Networked Virtual Reality and Enhanced Sensing for Remote Classes and Presentations. - Christoph W. Borst; Arun K. Kulshreshth (Everyday Virtual and Augmented Reality, 2023)

Filmmaking Meets VR: A Tool for Scouting Locations in Virtual Reality for Film Production. - Roberto E. Salazar; Arun K. Kulshreshth (ISMAR-Adjunct, 2024)

Effectiveness of Visual Acuity Tests in VR vs the Real-World. - Sarker Monojit Asish; Roberto E. Salazar; Arun K. Kulshreshth (VR Workshops, 2024)

Attention Guidance In The Wild: An Experiment Testing Visual Guidance Cues for VR Field Trips at High Schools. - Jason W. Woodworth; Adil Khokhar; Yitoshee Rahman; Arun K. Kulshreshth; Christoph W. Borst (VR Workshops, 2024)

Exploring Dynamic Difficulty Adjustment Methods for Video Games. - Nicholas P. Fisher; Arun K. Kulshreshth (Virtual Worlds, 2024)

Classification of Internal and External Distractions in an Educational VR Environment Using Multimodal Features. - Sarker Monojit Asish; Arun K. Kulshreshth; Christoph W. Borst; Shaon Sutradhar (IEEE Trans. Vis. Comput. Graph., 2024)