Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Designing Successive Target Selection in Virtual Reality via Penetrating the Intangible Interface with Handheld Controllers

Authors
Li, YangSarcar, SayanKim, KibumTu, HuaweiRen, Xiangshi
Issue Date
Sep-2022
Publisher
Academic Press
Keywords
Target selection; Text entry; Virtual reality
Citation
International Journal of Human Computer Studies, v.165, pp.1 - 11
Indexed
SCIE
SSCI
SCOPUS
Journal Title
International Journal of Human Computer Studies
Volume
165
Start Page
1
End Page
11
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/113542
DOI
10.1016/j.ijhcs.2022.102835
ISSN
1071-5819
Abstract
Empirical research on single target selection in Virtual Reality/Augmented Reality (VR/AR) environments has been studied extensively. However, there is a lack of methods and research on improving the coherence when successively selecting multiple targets. We propose Sewing, a successive target selection method with handheld controllers in VR environments. We leverage real-life sewing as a design metaphor for the selection of multiple targets with one single spatial movement penetrating targets with handheld controllers. We conducted an empirical study to validate the efficiency of selecting multiple targets with Sewing compared with the conventional selection method, which is based on the button pressing metaphor. Results showed that Sewing can provide promising performance and coherence for rapid and accurate target selection. Based on the results, we implemented SewTyping, a Sewing-based VR text entry method to evaluate the applicability of Sewing, and conducted an empirical study to compare the typing performance with two other techniques (Controller Pointing and Drum-like Keyboard). Results showed that 1) SewTyping achieved 26.57 words per minute with a total error rate of 3.68% and 2) users adapted to the sewing-like movement easily and achieved steady performance with essential practice. © 2022
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > SCHOOL OF MEDIA, CULTURE, AND DESIGN TECHNOLOGY > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Kibum photo

Kim, Kibum
COLLEGE OF COMPUTING (SCHOOL OF MEDIA, CULTURE, AND DESIGN TECHNOLOGY)
Read more

Altmetrics

Total Views & Downloads

BROWSE