Name
Title | ||
|---|---|---|
Understanding user performance of acquiring targets with motion-in-depth in virtual reality |
Abstract | ||
|---|---|---|
•Motion-in-depth refers to a target that predominantly exhibits approaching or receding movement across the user's field of view.•An empirical investigation of the effects of texture, shadow, alignment, moving speed, moving direction on user perception of motion-in-depth.•A comprehensive study on user performance of motion-in-depth using empirical data and model analysis.•A set of design guidelines for applications in virtual environments to improve the design of dynamic content with motion-in-depth. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.ijhcs.2022.102817 | International Journal of Human-Computer Studies |
Keywords | DocType | Volume |
Motion-in-depth,User performance,Moving target acquisition,Virtual reality | Journal | 163 |
ISSN | Citations | PageRank |
1071-5819 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin Huang | 1 | 55 | 13.98 |
| John J. Dudley | 2 | 17 | 5.35 |
| Stephen Uzor | 3 | 0 | 1.01 |
| Dong Wu | 4 | 0 | 0.34 |
| Per Ola Kristensson | 5 | 1317 | 91.21 |
| Feng Tian | 6 | 228 | 44.58 |