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Arun K. Kulshreshth

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affiliation: University of Louisiana at Lafayette, School of Computing and Informatics, LA, USA
affiliation (PhD 2015): University of Central Florida, Orlando, FL, USA

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2020 – today

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2024
[j4]
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Nicholas P. Fisher, Arun K. Kulshreshth:
Exploring Dynamic Difficulty Adjustment Methods for Video Games. Virtual Worlds 3(2): 230-255 (2024)
[c24]
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Jason W. Woodworth, Adil Khokhar, Yitoshee Rahman, Arun K. Kulshreshth, Christoph W. Borst:
Attention Guidance In The Wild: An Experiment Testing Visual Guidance Cues for VR Field Trips at High Schools. VR Workshops 2024: 173-179
[c23]
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Sarker Monojit Asish, Roberto E. Salazar, Arun K. Kulshreshth:
Effectiveness of Visual Acuity Tests in VR vs the Real-World. VR Workshops 2024: 693-694
2023
[c22]
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Sarker Monojit Asish, Arun K. Kulshreshth, Christoph W. Borst:
Internal Distraction Detection Utilizing EEG Data in an Educational VR Environment. SAP 2023: 8:1-8:10
[c21]
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Yitoshee Rahman, Arun K. Kulshreshth, Christoph W. Borst:
Comparing Visualizations to Help a Teacher Effectively Monitor Students in a VR Classroom. ISMAR 2023: 444-453
[c20]
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Yitoshee Rahman, Arun K. Kulshreshth, Christoph W. Borst:
Exploring the Usefulness of Visual Indicators for Monitoring Students in a VR-based Teaching Interface. VR Workshops 2023: 699-700
[c19]
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Sarker Monojit Asish, Arun K. Kulshreshth, Christoph W. Borst:
Detecting Distracted Students in an Educational VR Environment Utilizing Machine Learning on EEG and Eye-Gaze Data. VR Workshops 2023: 703-704
[c18]
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Jason Wolfgang Woodworth, Christoph W. Borst, Yitoshee Rahman, Arun K. Kulshreshth:
Study of Visual Guidance Cues in VR Field Trips at High Schools. VRST 2023: 80:1-80:2
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Christoph W. Borst, Arun K. Kulshreshth:
Networked Virtual Reality and Enhanced Sensing for Remote Classes and Presentations. Everyday Virtual and Augmented Reality 2023: 147-179
2022
[j3]
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Sarker Monojit Asish, Arun K. Kulshreshth, Christoph W. Borst:
Detecting distracted students in educational VR environments using machine learning on eye gaze data. Comput. Graph. 109: 75-87 (2022)
[j2]
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Sarker Monojit Asish, Arun K. Kulshreshth, Christoph W. Borst:
User Identification Utilizing Minimal Eye-Gaze Features in Virtual Reality Applications. Virtual Worlds 1(1): 42-61 (2022)
[c17]
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Sarker Monojit Asish, Arun K. Kulshreshth, Christoph W. Borst:
Detecting Internal Distraction in an Educational VR Environment Using EEG Data. SUI 2022: 26:1-26:2
2021
[c16]
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Sarker Monojit Asish, Ekram Hossain, Arun K. Kulshreshth, Christoph W. Borst:
Deep Learning on Eye Gaze Data to Classify Student Distraction Level in an Educational VR Environment. ICAT-EGVE 2021: 37-46
[c15]
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Sarker Monojit Asish, Arun K. Kulshreshth, Christoph W. Borst:
Supervised vs Unsupervised Learning on Gaze Data to Classify Student Distraction Level in an Educational VR Environment. SUI 2021: 26:1-26:2
[c14]
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David M. Broussard, Yitoshee Rahman, Arun K. Kulshreshth, Christoph W. Borst:
An Interface for Enhanced Teacher Awareness of Student Actions and Attention in a VR Classroom. VR Workshops 2021: 284-290
[c13]
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David M. Broussard, Yitoshee Rahman, Arun K. Kulshreshth, Christoph W. Borst:
Visual Indicators for Monitoring Students in a VR class. VR Workshops 2021: 502-503
2020
[c12]
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Yitoshee Rahman, Sarker Monojit Asish, Nicholas P. Fisher, Ethan C. Bruce, Arun K. Kulshreshth, Christoph W. Borst:
Exploring Eye Gaze Visualization Techniques for Identifying Distracted Students in Educational VR. VR 2020: 868-877

2010 – 2019

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2019
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Ekram Hossain, Arun K. Kulshreshth:
Exploring the Effects of Stereoscopic 3D on Gaming Experience Using Physiological Sensors. SUI 2019: 22:1-22:2
[c10]
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Yitoshee Rahman, Sarker Monojit Asish, Adil Khokhar, Arun K. Kulshreshth, Christoph W. Borst:
Gaze Data Visualizations for Educational VR Applications. SUI 2019: 23:1-23:2
[e1]
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Christoph W. Borst, Arun K. Kulshreshth, Gerd Bruder, Stefania Serafin, Christian Sandor, Kyle Johnsen, Jinwei Ye, Daniel Roth, Sungchul Jung:
Symposium on Spatial User Interaction, SUI 2019, New Orleans, LA, USA, October 19-20, 2019. ACM 2019, ISBN 978-1-4503-6975-6 [contents]
2018
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Arun K. Kulshreshth, Joseph J. LaViola Jr.:
Designing Immersive Video Games Using 3DUI Technologies - Improving the Gamer's User Experience. Human-Computer Interaction Series, Springer 2018, ISBN 978-3-319-77952-2, pp. 1-114
[c9]
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Kevin Pfeil, Eugene M. Taranta II, Arun K. Kulshreshth, Pamela J. Wisniewski, Joseph J. LaViola Jr.:
A comparison of eye-head coordination between virtual and physical realities. SAP 2018: 18:1-18:7
2017
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Arun K. Kulshreshth, Kevin Pfeil, Joseph J. LaViola:
Enhancing the Gaming Experience Using 3D Spatial User Interface Technologies. IEEE Computer Graphics and Applications 37(3): 16-23 (2017)
2016
[c8]
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Arun K. Kulshreshth, Joseph J. LaViola Jr.:
Dynamic Stereoscopic 3D Parameter Adjustment for Enhanced Depth Discrimination. CHI 2016: 177-187
[c7]
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Bo Kang, Arun K. Kulshreshth, Joseph J. LaViola Jr.:
AnalyticalInk: An Interactive Learning Environment for Math Word Problem Solving. IUI 2016: 419-430
2015
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Arun K. Kulshreshth, Joseph J. LaViola Jr.:
Exploring 3D User Interface Technologies for Improving the Gaming Experience. CHI 2015: 125-134
[c5]
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Arun K. Kulshreshth, Joseph J. LaViola Jr.:
Enhanced Depth Discrimination Using Dynamic Stereoscopic 3D Parameters. CHI Extended Abstracts 2015: 1615-1620
2014
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Arun K. Kulshreshth, Joseph J. LaViola Jr.:
Exploring the usefulness of finger-based 3D gesture menu selection. CHI 2014: 1093-1102
2013
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Arun K. Kulshreshth, Christopher Zorn, Joseph J. LaViola Jr.:
Poster: Real-time markerless kinect based finger tracking and hand gesture recognition for HCI. 3DUI 2013: 187-188
[c2]
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Arun K. Kulshreshth, Joseph J. LaViola Jr.:
Evaluating performance benefits of head tracking in modern video games. SUI 2013: 53-60
2012
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Arun K. Kulshreshth, Jonas Schild, Joseph J. LaViola Jr.:
Evaluating user performance in 3D stereo and motion enabled video games. FDG 2012: 33-40

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