Mykola Maslych
Mykola Maslych
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Towards Better Throwing: A Comparison of Performance and Preferences Across Point of Release Mechanics in Virtual Reality
An underexplored interaction metaphor in virtual reality (VR) is throwing, with a considerable challenge in achieving accurate and …
Amirpouya Ghasemaghaei
,
Mykola Maslych
,
Yahya Hmaiti
,
Esteban Segarra Martinez
,
Joseph J. Laviola Jr
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DOI
Unlocking Understanding: An Investigation of Multimodal Communication in Virtual Reality Collaboration
Communication in collaboration, especially synchronous, remote communication, is crucial to the success of task-specific goals. …
Ryan Ghamandi
,
Ravi Kiran Kattoju
,
Yahya Hmaiti
,
Mykola Maslych
,
Eugene M. Taranta II
,
Ryan P. McMahan
,
Joseph J. Laviola Jr
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DOI
Throwing in Virtual Reality: Performance and Preferences Across Input Device Configurations
An underexplored interaction metaphor in virtual reality (VR) is throwing, with a considerable challenge in achieving accurate and …
Amirpouya Ghasemaghaei
,
Yahya Hmaiti
,
Mykola Maslych
,
Esteban Segarra Martinez
,
Joseph J. Laviola Jr
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DOI
An Exploration of The Effects of Head-Centric Rest Frames On Egocentric Distance Judgments in VR
Rest Frames (RFs) are static visual frames of reference in the user’s VR field of view. They were shown to contribute to minimizing sensory mismatch, helping with stability, focus, and reducing cybersickness. In this work we found that some RFs help with distance judgement, improving task performance in VR.
Yahya Hmaiti
,
Mykola Maslych
,
Eugene M. Taranta
,
Joseph J. Laviola Jr
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DOI
Toward Intuitive Acquisition of Occluded VR Objects Through an Interactive Disocclusion Mini-map
Standard selection techniques such as ray casting fail when virtual objects are partially or fully occluded. In this paper, we present …
Mykola Maslych
,
Yahya Hmaiti
,
Ryan Ghamandi
,
Paige Leber
,
Ravi Kiran Kattoju
,
Jacob Belga
,
Joseph J. Laviola Jr
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DOI
Moving Toward an Ecologically Valid Data Collection Protocol for 2D Gestures In Video Games
When playing video games, users input gestures that are more variable than those collected in lab conditions. Systems trained on lab data will underperform in real-world scenarios. We designed a simple-to-implement protocol which helps elicit more variability during user gesture collection.
Eugene M. Taranta II
,
Corey R. Pittman
,
Jack P. Oakley
,
Mykola Maslych
,
Mehran Maghoumi
,
Joseph J. Laviola Jr
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