Name
Abstract | ||
|---|---|---|
Reaction time training systems are used to improve user performance. Until now, such setups use physical 2D flat surfaces, e.g., a 2D touch screen or buttons mounted on a wall. We designed and investigated a mid-air reaction time training system with an immersive virtual reality (VR) headset. 12 participants performed an eye-hand coordination reaction test in three conditions: both in mid-air with or without VR controller as well as with passive haptic feedback through hitting a soft-surface wall. We also altered target and cursor sizes and used a Fitts’ law task to analyze user performance. According to the results, subjects were slower and their throughput was lower when they hit a solid surface to interact with virtual targets. Our results show that Fitts’s model can be applied to these systems to measure and assess participant training.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3359996.3364249 | 25th ACM Symposium on Virtual Reality Software and Technology |
Keywords | Field | DocType |
Fitts’ task, Virtual Reality, mid-air interaction, performance assessment, reaction test | Computer vision,Eye–hand coordination,Computer science,Artificial intelligence,Hitting the wall | Conference |
ISBN | Citations | PageRank |
978-1-4503-7001-1 | 5 | 0.40 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anil Ufuk Batmaz | 1 | 69 | 9.09 |
| Xintian Sun | 2 | 5 | 0.40 |
| Dogu Taskiran | 3 | 5 | 0.40 |
| Wolfgang Stuerzlinger | 4 | 1143 | 101.60 |