The creation of an image from another and from different types of data including text, scene
graph, and object layout, is one of the very challenging tasks in computer vision. In addition …

Advances in text-to-image generative models have made it easier for people to create art by
just prompting models with text. However, creating through text leaves users with limited …

Flexibility (ie, the number of categorically different ideas), fluency (ie, the answer quantity),
and originality (ie, the quality of ideas) are essential aspects of the ability to think divergently …

Generative AI techniques like those that synthesize images from text (text-to-image models)
offer new possibilities for creatively imagining new ideas. We investigate the capabilities of …

We investigate how multiple sliders with and without feedforward visualizations influence
users' control of generative models. In an online study (N= 138), we collected a dataset of …

For decades, researchers have struggled with measurement problems related to the
construct validity of divergent and convergent thinking in creativity assessments. In …

The Animal-AI Environment is a unique game-based research platform designed to serve
both the artificial intelligence and cognitive science research communities. In this paper, we …

The rise of digital technologies and Machine Learning (ML)-tools for creative expression
brings about novel opportunities for studying creativity and cognition at scale. In this paper …

A group of children engaged in collective free play can spontaneously create new rules,
learn to follow them, or find opportunities to break established ones. This rule-playing can be …

Digital games used to assess creativity represents an emerging but underexplored topic.
These games could allow for the combination of scalability through crowdsourcing and …