Exploring Co-creative Drawing Workflows

Area of Science:

• Human-Computer Interaction
• Digital Art
• Artificial Intelligence

Background:

• Traditional drawing remains a primary artistic medium.
• Understanding artists' perspectives on technology is crucial for developing effective tools.
• Preliminary research is needed for human-AI co-creative systems.

Purpose of the Study:

• To explore potential roles for technology in assisting artists' drawing processes.
• To investigate artists' attitudes towards Artificial Intelligence (AI) in creative workflows.
• To inform the design of a physical human-AI co-creative drawing system.

Main Methods:

• A mixed-methods study involving surveys, video-recorded drawing exercises, and semi-structured interviews.
• Gathering data from professional illustrators, fine artists, and art students.
• Incorporating co-design discussions on AI's contribution to drawing.

Main Results:

• Artists value traditional drawing methods but are open to technological assistance.
• A preference for co-creative AI over didactic AI was identified.
• Artists expressed skepticism towards the automation of creative tasks by AI.

Conclusions:

• Artist input is essential for designing user-centered AI co-creative systems.
• Future systems should focus on collaborative and supportive AI roles.
• Further research is needed to refine human-AI interaction in artistic creation.