Comparing Real and Virtual Object Manipulation by Physiological Signals Analysis: A First Study

Mohammad Ali Mirzaei, Jean-Rémy Chardonnet, Frédéric Merienne

2018

Abstract

Virtual reality aims at reproducing reality and simulating actions like object manipulation tasks. Despite abundant past research on designing 3D interaction devices and methods to achieve close-to-real manipulation in virtual environments, strong differences exist between real and virtual object manipulation. Past work that compared between real and virtual manipulation mainly focused on user performance only. In this paper, we propose using also physiological signals, namely electromyography (EMG), to better characterize these differences. A first experiment featuring a simple pick-and-place task on a real setup and in a CAVE system showed that participants’ muscular activity reveals a clearly different spectrum in the virtual environment compared to that in reality.

Paper Citation

in Harvard Style

Mirzaei M., Chardonnet J. and Merienne F. (2018). Comparing Real and Virtual Object Manipulation by Physiological Signals Analysis: A First Study.In Proceedings of the 2nd International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA, ISBN 978-989-758-328-5, pages 108-115. DOI: 10.5220/0006924401080115

in Bibtex Style

@conference{chira18,
author={Mohammad Ali Mirzaei and Jean-Rémy Chardonnet and Frédéric Merienne},
title={Comparing Real and Virtual Object Manipulation by Physiological Signals Analysis: A First Study},
booktitle={Proceedings of the 2nd International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,},
year={2018},
pages={108-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006924401080115},
isbn={978-989-758-328-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,
TI - Comparing Real and Virtual Object Manipulation by Physiological Signals Analysis: A First Study
SN - 978-989-758-328-5
AU - Mirzaei M.
AU - Chardonnet J.
AU - Merienne F.
PY - 2018
SP - 108
EP - 115
DO - 10.5220/0006924401080115