This paper explores ways in which a computational co-creative agent might help people to create dimensional representations. This work was based on the difficulty people have shown in creating dimensional representations. For more information, check out the paper (https://www.researchgate.net/publication/330763999_Co-Creating_Dimensions_and_Examples_Using_Design_Space_Gaps)

1. Co-Creating Dimensions and Examples
Using Design Space Gaps
Stephen MacNeil, Celine Latulipe, Johanna Okerlund
University of North Carolina at Charlotte
CoCreation Workshop, ICCC, June 2017

2. Design Spaces

3. Design Spaces
in research
Valdes et. al 2014
Bowman, Elmqvist, Jankun-Kelly 2012

4. Design Space Explorer Two Pilot Studies
MacNeil, Okerlund, Latulipe 2017

5. Design Space Explorer Two Pilot Studies
MacNeil, Okerlund, Latulipe 2017

6. Design Space Explorer Two Pilot Studies
MacNeil, Okerlund, Latulipe 2017

7. Design Space Explorer Two Pilot Studies
MacNeil, Okerlund, Latulipe 2017

8. Parametric Design such as Morphological Analysis
Zwicky 1967, 1969

9. Results
1. Simple Design Spaces
2. Few Dimensions or Examples
3. Dimensional Topics
4. Homogenous Examples
5. Poor Coverage of the Space

10. Results
1. Simple Design Spaces
2. Few Dimensions or Examples
3. Dimensional Topics
4. Homogenous Examples
5. Poor Coverage of the Space
Noy et al. 2012
Karl Duncker 1945, McCaffrey and Spector 2012

11. How can a Computational Agent Help?
Co-creating Examples
● Suggest examples that better cover the space (far analogues)
● Leads to more comprehensive spaces (convergent)
Co-creating Dimensions
● Differentiate examples by proposing new dimensions (divergent)
● Identifies two similar examples and asks the user to differentiate them.

12. What could a Computational Agent look like?
Co-creating Examples
Information Theoretic (entropy)
May lead to impossible points
Co-creating Dimensions
Similarity (closest distance)
Can be non-ordinal / non-linear

13. What are the design decisions?
● Initiation how does the interaction begin?
● Gap Detection what hasn’t been tried yet?
● Interest what is most relevant for the user?
● Legal Combinations what combinations are possible, which are impossible?
● Reinforcement how does the user indicate something was relevant or not
possible?
● Closure when does the interaction between the agent and human end?
● History how do we keep track of and present the interaction histories?

14. Co-Creating Dimensions and Examples Using Design Space Gaps
Stephen MacNeil, Celine Latulipe, Johanna Okerlund
{smacnei2, clatulip, jokerlun}@uncc.edu
● Principles: Initiation, gap detection (what is missing), interest (what is good), legal
combinations (what is possible), reinforcement (how do users indicate preference),
closure (when does interaction end), history (interaction provenance)
● Goals: co-creating dimensions (divergent), co-creating examples (convergent)
● Methods: information theoretic (max entropy), distance metrics (closest points)
● Open Questions: what is similar? what combinations are possible?
Try it out! http://bit.ly/dsExplorer