Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Collaborative Brain-Computer Interface for Human Interest Detection in
  Complex and Dynamic Settings   Humans can fluidly adapt their interest in complex environments in ways that
machines cannot. Here, we lay the groundwork for a real-world system that
passively monitors and merges neural correlates of visual interest across team
members via Collaborative Brain Computer Interface (cBCI). When group interest
is detected and co-registered in time and space, it can be used to model the
task relevance of items in a dynamic, natural environment. Previous work in
cBCIs focuses on static stimuli, stimulus- or response- locked analyses, and
often within-subject and experiment model training. The contributions of this
work are twofold. First, we test the utility of cBCI on a scenario that more
closely resembles natural conditions, where subjects visually scanned a video
for target items in a virtual environment. Second, we use an
experiment-agnostic deep learning model to account for the real-world use case
where no training set exists that exactly matches the end-users task and
circumstances. With our approach we show improved performance as the number of
subjects in the cBCI ensemble grows, and the potential to reconstruct
ground-truth target occurrence in an otherwise noisy and complex environment.

17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math