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Julio Medina

dblp:182/8835 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%
Human-computer interaction and pervasive computing
1 paper
Immersive interaction · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
immersive interaction
0.312018
Please Don't Puke: Early Detection of Severe Motion Sickness in VR · VR 2018
Virtual and augmented reality › immersive interaction
motion sickness
0.312018
Please Don't Puke: Early Detection of Severe Motion Sickness in VR · VR 2018
Immersive interaction › motion sickness
cybersickness detection
0.312018
Please Don't Puke: Early Detection of Severe Motion Sickness in VR · VR 2018
Virtual and augmented reality › locomotion
redirected walking
0.112018
Please Don't Puke: Early Detection of Severe Motion Sickness in VR · VR 2018

Methods — techniques the papers use, named apart from their topics

user study · 0.7fast motion sickness measure · 0.7
YearPublicationVenuePosition
2018 Please Don't Puke: Early Detection of Severe Motion Sickness in VR
abstract
Motion sickness is a potentially debilitating side effect experienced by certain users of virtual reality systems. Unexpected results from a user study on redirected walking suggest that there is a need to quickly identify participants who have an extremely low tolerance for virtual motion manipulations and remove them from the experience. In this poster, we investigate the use of a previously introduced “fast motion sickness” measure to identify potential outliers with heightened levels of sensitivity. This work demonstrates a promising experimental methodology and suggests possible shared characteristics among users in this group.
Courtney Hutton, Shelby Ziccardi, Julio Medina, Evan A. Suma
VR3