Performance assessment of haptic devices for human–object interaction in virtual environment

Authors

  • Francesco de Pandi Leonardo S,p,a
  • Salvatore Musto Leonardo S.p.a.
  • Nazaro Aversano Leonardo S.p.a.
  • Annalisa Liccardo University of Naples Federico II
  • Francesco Bonavolontà University of Naples Federico II
  • Rosario Schiano Lo Moriello University of Naples Federico II
  • Giorgio de Alteriis University of Naples Federico II
  • Enzo Caputo MedITech - Mediterranean Competence Centre 4 Innovation

DOI:

https://doi.org/10.21014/actaimeko.v15i2.2227

Keywords:

haptic feedback, virtual reality, immersive training, pose calibration, finger joint motion analysis

Abstract

The integration of physical and virtual reality is gaining increasing relevance, especially in contexts where the interaction between users and digital environments is essential. Virtual reality (VR) enables the simulation of sensory experiences, opening up new opportunities in fields such as industrial training. The quality of simulations depends on how accurately the virtual world replicates the behavior of real objects and the tactile feedback provided to users. Haptic gloves, which deliver tactile sensations during interaction with virtual objects, are among the most advanced tools in this field. This study focuses on characterizing the feedback parameters of the Senseglove Nova and Nova 2 haptic gloves, with the aim of optimizing the user–environment interaction in virtual reality. The primary objective of this study was to characterize the feedback parameters of Senseglove Nova and Nova 2 in virtual environments, with emphasis on identifying differences in object grasping between real and virtual conditions. In this context, angular data from hand movements in both real and virtual scenarios were analyzed and compared to verify their accuracy and enhance interaction with the virtual environment. The proposed methodology establishes a quantitative framework for evaluating haptic feedback accuracy, offering practical insights for the design of immersive training systems.

Downloads

Published

2026-06-10

Issue

Vol. 15 No. 2 (2026)

Section

Research Papers

License

Copyright (c) 2026 Francesco de Pandi, Salvatore Musto, Nazaro Aversano, Annalisa Liccardo, Francesco Bonavolontà, Rosario Schiano Lo Moriello, Giorgio de Alteriis, Enzo Caputo

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under the CC BY 4.0, Creative Commons Attribution 4.0 International License.

Users are free to

  • share, i.e. copy and redistribute the material in any medium or format for any purpose, even commercially;
  • adapt, i.e. remix, transform, and build upon the material for any purpose, even commercially.

At the same time, the user must give appropriate credit, provide a link to the license, and indicate if changes were made.
Additional information about the license can be found at: https://creativecommons.org/licenses/by/4.0/.

Authors are

  • able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).