Ergonomic criteria adapted to human virtual environment interaction

2003 ◽  
Author(s):  
Cédric Bach ◽  
Dominique Scapin
Keyword(s):  
Virtual Environment ◽  
Environment Interaction

Investigation on Player and Virtual Environment Interaction

2014 ◽  
pp. 19-34
Author(s):  
Aušra Vidugirienė ◽  
Aistė Pranckevičienė ◽  
Egidijus Vaškevičius ◽  
Minija Tamošiūnaitė
Keyword(s):  
Virtual Environment ◽  
Environment Interaction

A Physiological Model of Cybersickness during Virtual Environment Interaction

2005 ◽  
Vol 49 (26) ◽  
pp. 2230-2234 ◽  
Author(s):  
W. Kendal Roberts ◽  
Jennie J. Gallimore
Keyword(s):  
Neural Network ◽  
Virtual Environment ◽  
Network Models ◽  
Physiological Model ◽  
Quantitative Model ◽  
Environment Interaction ◽  
Estimation Model ◽  
Neural Network Models ◽  
Severity Scores ◽  
Unseen Data

The challenges of measuring, managing, and predicting negative side effects (i.e. cybersickness) during virtual environment (VE) interaction and unwanted aftereffects continue to persist. Most assessments have been limited to subjective questionnaires. This study investigated the effects of VE interaction on nausea (gastric activity) and the development of a quantitative model affording cybersickness prediction. This cybersickness state estimation model (CSEM) offers a quantitative (i.e. physiological based) predictability to cybersickness. The model relates time, recordable gastric activity using electrogastrogram (EGG) measures as a physiological predictor and subjective sickness estimates. This work employs neural network algorithms to model user state associated with cybersickness. Neural network models were designed, trained, and tested to determine the network trainability and accuracy. Mean SSQ total severity scores indicate significant differences between conditions. All CSEM models had a low sum of squared error. The models were found to be accurate in predicting cybersickness from unseen data.

scholarly journals Six theoretical-methodological approaches to analyze written texts in a year-long Blended Learning cours

2019 ◽  
Vol 11 (3) ◽  
pp. 139-152
Author(s):  
Ana Borgobello ◽  
Andrea Espinosa ◽  
Mariana Sartori
Keyword(s):  
Blended Learning ◽  
Virtual Environment ◽  
Pedagogical Issues ◽  
Environment Interaction ◽  
Coding Systems ◽  
Written Texts ◽  
Multivariable Analyses ◽  
Methodological Approaches ◽  
Set Up ◽  
Long Course

Virtual environment interaction has been studied from different theoretical-methodological approaches. The purpose of this paper is to describe the characteristics of written texts in a blended learning course, and to analyze six theoretical systems that contrast them with data. The collected data come from all the texts written in Moodle by the teacher in a year-long course. The variables were set up from six approaches (coding systems): (a)- Communities of inquiry; (b)- Teaching assistance dimensions; (c)- Macro and micro-scripting; (d)- Twelve ways of teaching; (e)- Rethinking the class; and (f)- Observation record. Reliability and multivariable analyses were carried out. Results showed different consistency of approaches. The analyzed texts revealed how interaction took place and showed pedagogical issues underlying the didactic proposals. Associations among categories produced three typical groups of texts related with the different variables from theoreticalmethodological coding systems used: Cluster 1 gathered general instructions; Cluster 2 illustrated the virtual environment usage as repository; and Cluster 3 represented tutorial interactivity. Future studies should continue to explore these approaches, contrasting them with new data -and vice versa- to get a better understanding of socio-cognitive interaction among students and teachers in blended learning.

Novel Uses of Pinch Gloves™ for Virtual Environment Interaction Techniques

2002 ◽  
Vol 6 (3) ◽  
pp. 122-129 ◽  
Author(s):  
D. A. Bowman ◽  
C. A. Wingrave ◽  
J. M. Campbell ◽  
V. Q. Ly ◽  
C. J. Rhoton
Keyword(s):  
Virtual Environment ◽  
Environment Interaction ◽  
Interaction Techniques
Sign in / Sign up

Export Citation Format

Share Document