Collaborative Ideation Partner: Design Ideation in Human-AI Co-creativity

: AI-based co-creative design systems enable users to collaborate with an AI agent on open-ended creative tasks during the design process. This paper describes a co-creative system that supports design creativity by providing inspiring design solutions in the initial idea generation process, based on the visual and conceptual similarity to sketches drawn by a designer. The interactive experience allows the user to seek inspiration collaborating with the AI agent as needed. In this paper, we study how the visual and conceptual similarity of the inspiring design from the AI partner influences design ideation by examining the effect on design ideation during a design task. Our findings show that the AI-based stimuli produce ideation outcomes with more variety and novelty when compared to random stimuli.

[1]  Pegah Karimi,et al.  Creative sketching partner: an analysis of human-AI co-creativity , 2020, IUI.

[2]  Pegah Karimi,et al.  Deep Learning in a Computational Model for Conceptual Shifts in a Co-Creative Design System , 2019, ICCC.

[3]  Pegah Karimi,et al.  Evaluating Creativity in Computational Co-Creative Systems , 2018, ICCC.

[4]  Krzysztof Z. Gajos,et al.  Semantically Far Inspirations Considered Harmful?: Accounting for Cognitive States in Collaborative Ideation , 2017, Creativity & Cognition.

[5]  Leon A. Gatys,et al.  A Neural Algorithm of Artistic Style , 2015, ArXiv.

[6]  Brian Magerko,et al.  Drawing Apprentice: An Enactive Co-Creative Agent for Artistic Collaboration , 2015, Creativity & Cognition.

[7]  Nicholas Davis,et al.  Human-Computer Co-Creativity: Blending Human and Computational Creativity , 2013, Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

[8]  Jeffrey Dean,et al.  Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.

[9]  Petr Sojka,et al.  Software Framework for Topic Modelling with Large Corpora , 2010 .

[10]  Guy Hoffman,et al.  Gesture-based human-robot Jazz improvisation , 2010, 2010 IEEE International Conference on Robotics and Automation.

[11]  Jay F. Nunamaker,et al.  On the Measurement of Ideation Quality , 2007, J. Manag. Inf. Syst..

[12]  Steven M. Smith,et al.  Metrics for measuring ideation effectiveness , 2003 .

[13]  L. Mamykina,et al.  Collaborative creativity , 2002, CACM.

[14]  J. Gero.  Design Prototypes: A Knowledge Representation Schema for Design , 1990, AI Mag..

[15]  T. M. Amabile.  Social psychology of creativity: A consensual assessment technique. , 1982 .

[16]  David H. Douglas,et al.  ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURE , 1973 .

[17]  Urs Ramer,et al.  An iterative procedure for the polygonal approximation of plane curves , 1972, Comput. Graph. Image Process..

[18]  Pedro Lucas,et al.  Stay Awhile and Listen to 3Buddy, a Co-creative Level Design Support Tool , 2017, ICCC.

[19]  Antonios Liapis,et al.  Mixed-initiative co-creativity , 2014, FDG.

[20]  Tony Veale,et al.  Transformative Character Arcs For Use in Compelling Stories , 2014, ICCC.

[21]  Brian Magerko,et al.  Viewpoints AI: Procedurally Representing and Reasoning about Gestures , 2013, DiGRA Conference.

[22]  Simon Colton,et al.  Full-FACE Poetry Generation , 2012, ICCC.

[23]  John S. Gero,et al.  The Situated Function - Behaviour - Structure Framework , 2002, AID.