Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Social Artificial Intelligence: Nonverbal Social Signal
  Prediction in A Triadic Interaction   We present a new research task and a dataset to understand human social
interactions via computational methods, to ultimately endow machines with the
ability to encode and decode a broad channel of social signals humans use. This
research direction is essential to make a machine that genuinely communicates
with humans, which we call Social Artificial Intelligence. We first formulate
the "social signal prediction" problem as a way to model the dynamics of social
signals exchanged among interacting individuals in a data-driven way. We then
present a new 3D motion capture dataset to explore this problem, where the
broad spectrum of social signals (3D body, face, and hand motions) are captured
in a triadic social interaction scenario. Baseline approaches to predict
speaking status, social formation, and body gestures of interacting individuals
are presented in the defined social prediction framework.

36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th