In this research, we explore how researchers create dimensional representations. Such representations are explored for optimal solutions or to encode knowledge in a structured way. It is unclear how these representations are created. We explored whether it is easier for people to start by creating examples or start by creating dimensions. We find that starting with examples (existing design concepts) is easier but students don't think about the resulting design space dimensionally. Starting with dimensions is harder but it results in a dimensional understanding of the space
Q4-Trends-Networks-Module-3.pdfqquater days sheets123456789
Design Space Creation: Dimensional Reasoning and Research Design Spaces
1. University of North Carolina at Charlotte
Stephen MacNeil
smacnei2@uncc.edu
Johanna Okerlund
jokerlun@uncc.edu
Celine Latulipe
clatulip@uncc.edu
1st 2nd 3rd
Dimensional Reasoning and Research Design Spaces
Authors
2. BlueSky: Crowd-Powered Uniform Sampling of Idea Spaces
Gaoping Huang, Alexander J. Quinn
System – step 2
cost
is_destructive?
Build a house
Build a desk
As a paper weight
Use as a chair
Build a sofa
Break a window
Pre-train and filter crowds
Synthesize
Synthesize
ideas to get
dimensions
19. that are
described by dimensions (aspects, features)
Dimensional Reasoning the process of thinking about a
conceptual space in terms of examples (concepts, instances)
where each dimension can
take on different values (options, settings)
20. Research Questions
1. Dimensions-first or Examples-first?
2.How do people understand / value dimensional
representations?
3. What are the challenges for dimensional reasoning?
21. Research Questions
1. Dimensions-first or Examples-first?
2.How do people understand / value dimensional
representations?
3. What are the challenges for dimensional reasoning?
23. Example 1
C D
Example 2
A B Q
Example 3
U A B
Example 4
D B
Dimension 1
A
Dimension 2
B C
Dimension 3
D U Q
D1
E1
D2
B
C
B
E2 A
E3 A
D3
Q
D
U
BE4 DS
S
S
Examples-first Wizard-of-oz Study
25. 1. Process was natural and easy
2. Resulted in incomplete design spaces
3. Participants exhibited limited dimensional reasoning.
4. Tags encouraged researchers to view their space as categorized indexes
Examples-first results
33. “When I was writing I was only focusing on one aspect, but when I was looking
at the chart [visualization] I wasn’t sure if I was fair enough in my writing.” P1-2
“It really helps to dimensionalize them [papers] because I start to think of them
less as articles and more as articles in like different categories that they fit into.
Which is something I haven’t really done before.” P2-4
“When I was writing I was only focusing on one aspect, but when I was looking
at the chart [visualization] I wasn’t sure if I was fair enough in my writing.” P2-1
34. Main Takeaways
Examples-first doesn’t result in a traditional design space. Dimensions-first does, but it is difficult.
Dimensional Reasoning is hard and requires scaffolding.
• Co-creational Agent (MacNeil et al. ICCC 2017)
• Crowdsourcing (Gaoping and Quinn C&C 2017)
An Ecology of Tools Dimensions-first, Examples-first, Spacial Curation, Pen and Paper, Concept Maps, etc
Insights about researchers Many researchers view academic papers as puzzle pieces and use them as such
35. University of North Carolina at Charlotte
Stephen MacNeil
smacnei2@uncc.edu
Johanna Okerlund
jokerlun@uncc.edu
Celine Latulipe
clatulip@uncc.edu
1st 2nd 3rd
Dimensional Reasoning and Research Design Spaces
Authors
Read the paper: bit.ly/dsePaper
Try the Design Space Explorer: http://bit.ly/dsExplorer