Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: crea.blender: A Neural Network-Based Image Generation Game to Assess
  Creativity   We present a pilot study on crea.blender, a novel co-creative game designed
for large-scale, systematic assessment of distinct constructs of human
creativity. Co-creative systems are systems in which humans and computers
(often with Machine Learning) collaborate on a creative task. This
human-computer collaboration raises questions about the relevance and level of
human creativity and involvement in the process. We expand on, and explore
aspects of these questions in this pilot study. We observe participants play
through three different play modes in crea.blender, each aligned with
established creativity assessment methods. In these modes, players "blend"
existing images into new images under varying constraints. Our study indicates
that crea.blender provides a playful experience, affords players a sense of
control over the interface, and elicits different types of player behavior,
supporting further study of the tool for use in a scalable, playful, creativity
assessment.

32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ