Name
Abstract | ||
|---|---|---|
We present BrainX3 as a novel immersive and interactive technology for exploration of large biological data, which in this paper is customized towards brain networks. Unlike traditional machine-inference systems, BrainX3 posits a two-way coupling of human intuition to powerful machine computation to tackle the big data challenge. Furthermore, through unobtrusive wearable sensors, BrainX3 can infer user's states in terms of arousal and cognitive workload, thus changing the visualization and the sonification parameters to boost the exploration process. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2617841.2620726 | VRIC |
Keywords | DocType | Citations |
design,edr,experimentation,virtual reality,ecg,biology and genetics,xim,measurement,hci,brain,performance,vr,dac,artificial, augmented, and virtual realities | Conference | 1 |
PageRank | References | Authors |
0.38 | 6 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alberto Betella | 1 | 86 | 10.99 |
| Ryszard Cetnarski | 2 | 1 | 0.72 |
| Riccardo Zucca | 3 | 70 | 11.03 |
| Xerxes D. Arsiwalla | 4 | 84 | 17.84 |
| Enrique Martínez Bueno | 5 | 20 | 2.99 |
| Pedro Omedas | 6 | 92 | 9.87 |
| Anna Mura | 7 | 17 | 3.18 |
| Paul F. M. J. Verschure | 8 | 677 | 116.64 |