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Evaluating Hand-tracking Interaction for Performing Motor-tasks in VR Learning Environments

Hameed, Asim; Perkis, Andrew; Möller, Sebastian
Peer reviewed, Journal article
Published version
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Hameed (Locked)
URI
https://hdl.handle.net/11250/3026058
Date
2021
Metadata
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  • Institutt for elektroniske systemer [2502]
  • Publikasjoner fra CRIStin - NTNU [41955]
Original version
International Workshop on Quality of Multimedia Experience (QoMEX). 2021, 219-224.   10.1109/QoMEX51781.2021.9465407
Abstract
The past few years has witnessed a promising surge in immersive media technologies, however, a widespread adoption is still some years away. Recently, virtual reality (VR) head-mounted displays with inside-out tracking and hand-tracking are becoming popular in various fields. Representing users' hands and fingers in VR is crucial for many tasks. This is because hand-tracking enables a more natural, direct, interaction with a virtual environment (VE) which, compared to traditional handheld controllers, improves the VR immersive experience. This paper investigates user-perceived quality of experience for a reach-pick-place task inside VR. It presents a performance assessment methodology based on in-game analytics to evaluate user experience for different VR interaction types. We ran a controlled experiment (N=33) comparing two commodities: controller vs. hand-tracking. Results indicate a significant difference between the two data sets. The performance analytics show lower play-durations and trigger frequencies for the handheld controller compared to hand-tracking. The perceived mental workload for the tasks was also evaluated using Rated Scale Mental Effort (RSME). The reported scores were higher when using hand-tracking. The results help our understanding of the two interaction modalities in terms of their viability for naturalistic experiences akin to real-world scenarios.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Journal
International Workshop on Quality of Multimedia Experience (QoMEX)
Copyright
This version of the article will not be available due to copyright restrictions by IEEE

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