Modelling Movement Time for Haptic-enabled Virtual Assembly

Samir Garbaya, Vincent Hugel

2020

Abstract

Mechanical assembly consists of joining two or more components together. Manual assembly tasks include different activities to obtain functional products. In order to estimate the assembly cost and elaborate the assembly plan for a product, it is important to measure the duration of the assembly operations. The research reported in this paper aims at investigating if Fitts’ law, which has been widely adopted in numerous research areas including kinematics, human factors and human-computer interaction, can be adopted as a model to estimate the movement time in assembling parts in virtual assembly environment with haptic feedback. The results reported in this paper showed that Fitts’ law can be applied for modelling the movement time in assembling cylindrical parts. However, the analysis of the experimental data showed that when changing the diameter of the moved part, this could have an effect on the movement time. This is promising for the formulation of an inverted Fitts’ law for cylindrical parts’ assembly.

Paper Citation

in Harvard Style

Garbaya S. and Hugel V. (2020). Modelling Movement Time for Haptic-enabled Virtual Assembly. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 2: HUCAPP; ISBN 978-989-758-402-2, SciTePress, pages 53-63. DOI: 10.5220/0009038400530063

in Bibtex Style

@conference{hucapp20,
author={Samir Garbaya and Vincent Hugel},
title={Modelling Movement Time for Haptic-enabled Virtual Assembly},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 2: HUCAPP},
year={2020},
pages={53-63},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009038400530063},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 2: HUCAPP
TI - Modelling Movement Time for Haptic-enabled Virtual Assembly
SN - 978-989-758-402-2
AU - Garbaya S.
AU - Hugel V.
PY - 2020
SP - 53
EP - 63
DO - 10.5220/0009038400530063
PB - SciTePress