Publications

@inproceedings{PorcinoSeGAH2022,

title = {A guideline proposal for minimizing cybersickness in VR-based serious games and applications},

author = {Thiago Porcino and Derek Reilly and Daniela Trevisan and Esteban Clua},

year  = {2022},

date = {2022-08-10},

booktitle = {Proceedings of the IEEE 10th International Conference on Serious Games and Applications for Health (SeGAH 2022)},

publisher = {IEEE},

keywords = {cybersickness, exergames, gamification, health, VR},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{Hu2021,

title = {A Comparative Evaluation of Techniques for Locating Out of View Targets in Virtual Reality},

author = {Sathaporn "Hubert" Hu and Joseph Malloch and Derek Reilly},

year  = {2021},

date = {2021-05-27},

booktitle = {Proceedings of the Graphics Interface 2021 Conference},

abstract = {In this work, we present the design and comparative evaluation of techniques for increasing awareness of out-of-view targets in virtual reality. We first compare two variants of SOUS--a technique that guides the user to out-of-view targets using circle cues in their peripheral vision--with the existing FlyingARrow technique, in which arrows fly from the user's central (foveal) vision toward the target. fSOUS, a variant with low visual salience, performed well in a simple environment but not in visually complex environments, while bSOUS, a visually salient variant, yielded faster target selection than both fSous and FlyingARrow across all environments. We then compare hybrid techniques in which aspects of SOUS relating to unobtrusiveness and visual persistence were reflected in design modifications made to FlyingARrow. Increasing persistence by adding trails to arrows improved performance but there were concerns about obtrusiveness, while other modifications yielded slower and less accurate target acquisition. Nevertheless, since fSOUS and bSOUS are exclusively for head-mounted display with wide field-of-view, FlyingARrow with trail can still be beneficial for devices with limited field-of-view.},

keywords = {peripheral vision, target acquisition, VR},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MoveBox2020,

title = {MoveBox: Democratizing MoCap for the Microsoft Rocketbox Avatar Library},

author = {Mar Gonzalez-Franco and Zelia Egan and Matthew Peachey and Angus Antley and Tanmay Randhavane and Payod Panda and Yaying Zhang and Derek F. Reilly and Tabitha C Peck and Andrea Stevenson Won and Cheng Yao Wang and Anthony Steed and Eyal Ofek},

year  = {2020},

date = {2020-12-14},

booktitle = {Proceedings of the 3rd International Conference on Artificial Intelligence & Virtual Reality, special session on Avatars for AI and VR. },

publisher = {IEEE},

keywords = {AR, mixed reality, open source software, VR},

pubstate = {published},

tppubtype = {inproceedings}

}