collabdraw

Sketching is one of the most accessible techniques for communicating our ideas quickly and for collaborating in real time. Here we present a web-based environment for collaborative sketching of everyday visual concepts. We explore the integration of an artificial agent, instantiated as a recurrent neural network, who is both cooperative and responsive to actions performed by its human collaborator. To evaluate the quality of the sketches produced in this environment, we conducted an experimental user study and found that sketches produced collaboratively carried as much semantically relevant information as those produced by humans on their own. Further control analyses suggest that the semantic information in these sketches were indeed the product of collaboration, rather than attributable to the contributions of the human or the artificial agent alone. Taken together, our findings attest to the potential of systems enabling real-time collaboration between humans and machines to create novel and meaningful content.