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University of Ontario Institute of Technology

Simulating a virtual drilling task using audio, visual, and mouse movement cues during the COVID-19 pandemic

Abstract

dc:description.abstract

This work examined whether a real-world drilling task can be successfully simulated using combinations of appropriate audio, visual cues, and basic haptic stimuli obtained with mouse movements instead of a haptic device. Two experiments were conducted where participants were asked to accomplish a virtual drilling task (drilling a block of virtual wood) under different visual, auditory, and “haptic” conditions using some commonly available computer devices such as a mouse, headphones, and monitor. The results of these experiments indicate that audio, visual, and basic haptic cues can be used to simulate a drilling process without a haptic device. Although greater work remains, this work has shown that skills requiring haptic feedback (e.g., drilling) can be simulated without haptic devices. This is particularly important when considering remote learning where trainees may be able to practice various psychomotor-based skills at home with commonly available computer hardware and devices.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MSc)
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ning, Guoxuan
Advisor dc:contributor.advisor
  • Kapralos, Bill

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1353
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1353

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Ning, Guoxuan. Simulating a virtual drilling task using audio, visual, and mouse movement cues during the COVID-19 pandemic. University of Ontario Institute of Technology, 2021. https://hdl.handle.net/10155/1353