A comparative study of eye tracking and hand controller for aiming tasks in virtual reality
2019 (English)In: Eye Tracking Research and Applications Symposium (ETRA), Association for Computing Machinery , 2019Conference paper, Published paper (Refereed)
Abstract [en]
Aiming is key for virtual reality (VR) interaction, and it is often done using VR controllers. Recent eye-tracking integrations in commercial VR head-mounted displays (HMDs) call for further research on usability and performance aspects to better determine possibilities and limitations. This paper presents a user study exploring gaze aiming in VR compared to a traditional controller in an “aim and shoot” task. Different speeds of targets and trajectories were studied. Qualitative data was gathered using the system usability scale (SUS) and cognitive load (NASA TLX) questionnaires. Results show a lower perceived cognitive load using gaze aiming and on par usability scale. Gaze aiming produced on par task duration but lower accuracy on most conditions. Lastly, the trajectory of the target significantly affected the orientation of the HMD in relation to the target’s location. The results show potential using gaze aiming in VR and motivate further research. © 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.
Place, publisher, year, edition, pages
Association for Computing Machinery , 2019.
Keywords [en]
Aiming, Controller, Gaze Interaction, Performance, Usability, VR, Controllers, Helmet mounted displays, NASA, Surveys, Usability engineering, Virtual reality, Comparative studies, Head mounted displays, Performance aspects, System Usability Scale (SUS), Eye tracking
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-18619DOI: 10.1145/3317956.3318153ISI: 000626312000068Scopus ID: 2-s2.0-85069437406ISBN: 9781450367097 (print)OAI: oai:DiVA.org:bth-18619DiVA, id: diva2:1349891
Conference
11th ACM Symposium on Eye Tracking Research and Applications, ETRA, Denver, 25 June 2019 through 28 June 2019
Part of project
VIATECH- Human-Centered Computing for Novel Visual and Interactive Applications, Knowledge Foundation
Funder
Knowledge Foundation, 201700562019-09-102019-09-102021-12-21Bibliographically approved