Review of studies on target acquisition in virtual reality based on the crossing paradigm

被引：1
作者：
HUANG S. [1 ]
QI D. [2 ]
YUAN J. [1 ]
TU H. [1 ]
机构：
[1] College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing
[2] Jiangsu Hongao Mdt InfoTech Co., Ltd., Lianyungang, Jiangsu
来源：
Virtual Reality and Intelligent Hardware | 2019年 / 1卷 / 03期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Crossing paradigm; Pointing paradigm; Target selection; Virtual reality;
D O I：
10.3724/SP.J.2096-5796.2019.0006
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Crossing is a fundamental paradigm for target selection in human-computer interaction systems. This paradigm was first introduced to virtual reality (VR) interactions by Tu et al., who investigated its performance in comparison to pointing, and concluded that crossing is generally no less effective than pointing and has unique advantages. However, owing to the characteristics of VR interactions, there are still many factors to consider when applying crossing to a VR environment. Thus, this review summarizes the main techniques for object selection in VR and crossing-related studies. Then, factors that may affect crossing interactions are analyzed from the perspectives of the input space and visual space. The aim of this study is to provide a reference for future studies on target selection based on the crossing paradigm in virtual reality. © 2019 Beijing Zhongke Journal Publishing Co. Ltd.
引用
收藏
页码：251 / 264
页数：13
相关论文
共 53 条
  • [11] Haan G.D., Koutek M., Post F.H.
  • [12] Pierce J.S., Forsberg A.S., Conway M.J., Hong S., Zeleznik R.C., Mine M.R., Image plane interaction techniques in 3D immersive environments, Proceedings of the 1997 symposium on Interactive 3D graphics, (1997)
  • [13] Forsberg A., Herndon K., Zeleznik R., Aperture based selection for immersive virtual environments, Proceedings of the 9th annual ACM symposium on User interface software and technology, (1996)
  • [14] Accot J., Zhai S.M., More than dotting the i's: - foundations for crossing-based interfaces, Proceedings of the SIGCHI conference on Human factors in computing systems Changing our world, changing ourselves, (2002)
  • [15] Fitts P.M., The information capacity of the human motor system in controlling the amplitude of movement, Journal of Experimental Psychology: General, 121, 3, pp. 262-269, (1992)
  • [16] Accot J., Zhai S.M., Beyond fitts’ law, Proceedings of the SIGCHI conference on Human factors in computing systems, (1997)
  • [17] Forlines C., Balakrishnan R., Evaluating tactile feedback and direct vs. indirect stylus input in pointing and crossing selection tasks, Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems, (2008)
  • [18] Apitz G., Guimbretiere F., CrossY, Proceedings of the 17th annual ACM symposium on User interface software and technology, (2004)
  • [19] Dixon M., Guimbretiere F., Chen N., Optimal parameters for efficient crossing-based dialog boxes, Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems, (2008)
  • [20] Wobbrock J.O., Gajos K.Z., Goal crossing with mice and trackballs for people with motor impairments, ACM Transactions on Accessible Computing, 1, 1, pp. 1-37, (2008)
123456