Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality

2021 ◽  
Vol 35 (1) ◽  
pp. 04020053
Author(s):  
Md Nazmus Sakib ◽  
Theodora Chaspari ◽  
Amir H. Behzadan
2019 ◽  
Vol 8 (17) ◽  
Author(s):  
Victor Fajnzylber Reyes ◽  
Andrea Wenner ◽  
Javier Moyano ◽  
Mateu Sbert

<p align="JUSTIFY"><span style="color: #000000;"><span><span style="font-family: Arial, serif;"><span style="font-size: medium;"><span><span>In this work, we present a research about ocular behavior during immersion in virtual reality. To enhance our comprehension of human behavior in immersive conditions, we will focus on vision and </span></span></span></span></span></span><span style="font-family: Arial, serif;"><span style="font-size: medium;">its</span></span><span style="color: #000000;"><span><span style="font-family: Arial, serif;"><span style="font-size: medium;"><span><span> reactivity to non-photorealistic rendering and cinematic procedures. Using physiological data collected in real time with an eye tracker, we compare attentional and pupillary response in order to describe the visual immersion experienced by the user. This proposal could be useful to identify physical sickness produced by perceptual mismatches and to evaluate the cognitive efficiency of virtual reality experiences in different fields of applications, giving feedback to content producers about user´s ocular behavior. </span></span></span></span></span></span></p>


2002 ◽  
Author(s):  
D. P. Jang ◽  
B. K. Wiederhold ◽  
S. B. McGehee ◽  
E. Durso ◽  
M. D. Wiederhold ◽  
...  

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 48952-48962
Author(s):  
Bruno Peixoto ◽  
Rafael Pinto ◽  
Miguel Melo ◽  
Luciana Cabral ◽  
Maximino Bessa

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