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WHAT HAPPENS WHEN 

CREATIVITY IS EXHAUSTED?
DESIGN TOOLS AS AN AID 

FOR IDEATION
Colin M. Gray1, Colleen M. Seifert2, 

Seda Yilmaz1, Shanna R. Daly2, & Richard Gonzalez2
1Iowa State University; 2University of Michigan
HOW DO WE CREATE
NOVEL & CREATIVE
CONCEPTS?
Photo courtesy of Rennet Stowe

https://www.flickr.com/photos/tomsaint/2987926396
AND HOW DO WE
KNOW WHEN WE
NEED HELP?
INSTRUMENTAL JUDGMENT
an understanding and value for design tools,
methods, and strategies
(Cross, 2011; Nelson & Stolterman, 2012; 

Stolterman, 2008)
INSTRUMENTAL JUDGMENT
TOOLS,
METHODS, &
STRATEGIES
Reframing design
problems
(Akin & Akin, 1996; 

Smith & Linsey, 2011)
Imposing constraints
(Biskjaer & Halskov, 2014; 

Finke et al., 1992)
Visual or analogical
supports
(Cheng, Mugge, & Schoormans,
2014; Viswanathan & Linsey,
2012, 2013)
JUDGMENTS THAT
RELATE TO USE OF
THESE TOOLS?
THE CHALLENGE
A focus on cognitive tools has generally neglected 

how students are intended to develop their 

abilities with these tools…

AND



Beginning designers need to develop sensibilities
surrounding their use of tools in the design process. 

(Self et al., 2014; Stolterman et al., 2008)
What happens when students use a
cognitive support only after their
own ability to generate concepts is
exhausted, and what implications
does this has for the development
of pedagogical experiences that
encourage idea fluency?
DESIGN HEURISTICS
• Provides prompts to help designers generate alternatives that
vary in nature, discouraging fixation and encouraging divergent
patterns of thinking (Yilmaz, Daly, Seifert, & Gonzalez, 2011; Yilmaz, Seifert, &
Gonzalez, 2010)

• Derived from empirical evidence of industrial and engineering
designs (Daly et al., 2012; Yilmaz, Christian, Daly, Seifert, & Gonzalez, 2012;
Yilmaz & Seifert, 2010)

• Validated through a range of product analysis, case studies,
and protocol analyses, in both educational and professional
contexts (e.g., Yilmaz & Seifert, 2009; Yilmaz et al., 2011; Yilmaz et al., 2010;
Yilmaz et al., 2013; Yilmaz, Daly, Christian, Seifert, & Gonzalez, 2014)
DESIGN HEURISTICS
PARTICIPANTS
• Sophomore undergraduate industrial design class at a large
Midwestern university 

• 34 students (12 females and 22 males), aged 19 to 22
IDEATION SESSION
Please design a seating unit. Generate 

as many solutions as you can.
BRAINSTORMING
30 MINUTES
DESIGN HEURISTICS
30 MINUTES
LEARN
10 MINUTES
“
”
ANALYSIS
• Consensual Assessment Technique with two raters, blind 

to condition (Amabile, 1982) 

• Rated on four concept characteristics, using a 7-point scale

• Linear mixed model of scores from both raters

• Intra-class correlation (ICC) to test for rater consistency and
agreement
HOW MUCH CAN A COGNITIVE
SUPPORT TOOL EXPAND IDEA
GENERATION AFTER EXHAUSTION?
BRAINSTORMING
6.06 CONCEPTS
(sd=1.43)
205 CONCEPTS
DESIGN HEURISTICS
2.76 CONCEPTS
(sd=0.96)
93 CONCEPTS
CONCEPT CHARACTERISTICS 

(adapted from Dean, Hender, Rodgers, & Santanen, 2006)
NOVELTY

The degree to which an idea is original and modifies a paradigm

WORKABILITY/FEASIBILITY

The degree to which an idea can be easily implemented and does not
violate constraints

RELEVANCE

An idea is relevant if it applies to the stated problem and will be
effective at solving the problem

SPECIFICITY

The degree to which an idea is specific (i.e., worked out in detail)
ARE THERE CHARACTERISTIC
DIFFERENCES BETWEEN 

CONCEPTS BY METHOD?
 
Average
Ranking
Working
On Own
(SD)	
  
 
Average
Ranking With
Design
Heuristics
(SD)	
  
 
Z p
ICC agreement ICC consistency
      No DH DH No DH DH
Novelty
3.841
(1.1549)
4.280 

(1.0695)
-2.513 0.014 0.79 0.71 0.82 0.71
Specificity
3.220
(1.3007)
3.855 

(1.3744)
-5.276 0.000 0.86 0.87 0.86 0.87
Relevance
3.900
(1.3297)
4.188 

(1.1466)
-2.588 0.011 0.77 0.69 0.87 0.72
Feasibility
4.561
(1.1589)
4.360 

(1.1618)
1.312 0.192 0.34 0.46 0.81 0.77
HOW DOES A COGNITIVE SUPPORT
TOOL INFLUENCE IDEA GENERATION?
THE AMBIENT CHAIR
Chair has a built in “roof” which will
provide over-head lighting
THE POD
Solid, partially enclosed chair that 

allows for 360° movement (chair is 

fixed in place)
HOW DOES A COGNITIVE SUPPORT
TOOL INFLUENCE IDEA GENERATION?
RUSSIAN DOLL CHAIR
3 chairs in one, 1st layer is comfortable
padding, 2nd is sturdy metal frame + 3rd
is a stool. All chairs would be functional
by themselves
THE CAROUSEL
Four chairs are attached to a 

center coffee table.
#41: LAYER #47: MIRROR OR ARRAY
QUALITY OF
CONCEPTS 

INCREASED
DISCUSSION
Design Heuristics is a cognitive tool to
combat creative “exhaustion”
QUANTITY OF
CONCEPTS 

DECREASED
BUT
DISCUSSION
COGNITIVE SUPPORTS AS JUST-IN-TIME SCAFFOLDING
• Supports are related to specific pedagogical contexts, and
cannot be viewed only in abstraction

• Knowing when to introduce cognitive tools based on known
instructional barriers (and those yet to be discovered)

• Starting the process of self-learning that will be relevant in
future professional work
DISCUSSION
DEVELOPING STUDENTS’ TOOL SENSIBILITY
• Building instrumental judgment: not only objective
knowledge of the tool, but how and when to use it

• Increasing our understanding of key cognitive and emotive
qualities that may increase receptivity to new cognitive
supports

• Heightening the role of cognitive tools/supports in
developing a designer’s conceptual repertoire
CONCLUSION &

FUTURE WORK
• Triangulation with other data sources to understand
individual students’ perception of their developing
instrumental judgments

• Clarifying the nature of instrumental judgment, particularly
within disciplinary and identity framings

• Learning to capitalize on exhausted creative states is a
key area for future instructional development,
developing pedagogical experiences that increase
students’ design expertise
THANK YOU
This research is funded by the National Science Foundation, Division of Undergraduate Education,
Transforming Undergraduate Education in Science, Technology, Engineering and Mathematics
(TUES Type II) Grants # 1323251 and #1322552. Any opinions, findings, and conclusions or
recommendations expressed in this paper are those of the authors and do not necessarily reflect
the views of the National Science Foundation. 

COLINGRAY.ME

DESIGNHEURISTICS.COM

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What Happens when Creativity is Exhausted? Design Tools as an Aid for Ideation

  • 1. WHAT HAPPENS WHEN 
 CREATIVITY IS EXHAUSTED? DESIGN TOOLS AS AN AID 
 FOR IDEATION Colin M. Gray1, Colleen M. Seifert2, 
 Seda Yilmaz1, Shanna R. Daly2, & Richard Gonzalez2 1Iowa State University; 2University of Michigan
  • 2. HOW DO WE CREATE NOVEL & CREATIVE CONCEPTS? Photo courtesy of Rennet Stowe https://www.flickr.com/photos/tomsaint/2987926396 AND HOW DO WE KNOW WHEN WE NEED HELP?
  • 3. INSTRUMENTAL JUDGMENT an understanding and value for design tools, methods, and strategies (Cross, 2011; Nelson & Stolterman, 2012; 
 Stolterman, 2008)
  • 4. INSTRUMENTAL JUDGMENT TOOLS, METHODS, & STRATEGIES Reframing design problems (Akin & Akin, 1996; 
 Smith & Linsey, 2011) Imposing constraints (Biskjaer & Halskov, 2014; 
 Finke et al., 1992) Visual or analogical supports (Cheng, Mugge, & Schoormans, 2014; Viswanathan & Linsey, 2012, 2013) JUDGMENTS THAT RELATE TO USE OF THESE TOOLS?
  • 5. THE CHALLENGE A focus on cognitive tools has generally neglected 
 how students are intended to develop their 
 abilities with these tools… AND
 
 Beginning designers need to develop sensibilities surrounding their use of tools in the design process. 
 (Self et al., 2014; Stolterman et al., 2008)
  • 6. What happens when students use a cognitive support only after their own ability to generate concepts is exhausted, and what implications does this has for the development of pedagogical experiences that encourage idea fluency?
  • 7. DESIGN HEURISTICS • Provides prompts to help designers generate alternatives that vary in nature, discouraging fixation and encouraging divergent patterns of thinking (Yilmaz, Daly, Seifert, & Gonzalez, 2011; Yilmaz, Seifert, & Gonzalez, 2010) • Derived from empirical evidence of industrial and engineering designs (Daly et al., 2012; Yilmaz, Christian, Daly, Seifert, & Gonzalez, 2012; Yilmaz & Seifert, 2010) • Validated through a range of product analysis, case studies, and protocol analyses, in both educational and professional contexts (e.g., Yilmaz & Seifert, 2009; Yilmaz et al., 2011; Yilmaz et al., 2010; Yilmaz et al., 2013; Yilmaz, Daly, Christian, Seifert, & Gonzalez, 2014)
  • 9. PARTICIPANTS • Sophomore undergraduate industrial design class at a large Midwestern university • 34 students (12 females and 22 males), aged 19 to 22
  • 10. IDEATION SESSION Please design a seating unit. Generate 
 as many solutions as you can. BRAINSTORMING 30 MINUTES DESIGN HEURISTICS 30 MINUTES LEARN 10 MINUTES “ ”
  • 11. ANALYSIS • Consensual Assessment Technique with two raters, blind 
 to condition (Amabile, 1982) • Rated on four concept characteristics, using a 7-point scale • Linear mixed model of scores from both raters • Intra-class correlation (ICC) to test for rater consistency and agreement
  • 12. HOW MUCH CAN A COGNITIVE SUPPORT TOOL EXPAND IDEA GENERATION AFTER EXHAUSTION? BRAINSTORMING 6.06 CONCEPTS (sd=1.43) 205 CONCEPTS DESIGN HEURISTICS 2.76 CONCEPTS (sd=0.96) 93 CONCEPTS
  • 13. CONCEPT CHARACTERISTICS 
 (adapted from Dean, Hender, Rodgers, & Santanen, 2006) NOVELTY
 The degree to which an idea is original and modifies a paradigm WORKABILITY/FEASIBILITY
 The degree to which an idea can be easily implemented and does not violate constraints RELEVANCE
 An idea is relevant if it applies to the stated problem and will be effective at solving the problem SPECIFICITY
 The degree to which an idea is specific (i.e., worked out in detail)
  • 14. ARE THERE CHARACTERISTIC DIFFERENCES BETWEEN 
 CONCEPTS BY METHOD?   Average Ranking Working On Own (SD)     Average Ranking With Design Heuristics (SD)     Z p ICC agreement ICC consistency       No DH DH No DH DH Novelty 3.841 (1.1549) 4.280 
 (1.0695) -2.513 0.014 0.79 0.71 0.82 0.71 Specificity 3.220 (1.3007) 3.855 
 (1.3744) -5.276 0.000 0.86 0.87 0.86 0.87 Relevance 3.900 (1.3297) 4.188 
 (1.1466) -2.588 0.011 0.77 0.69 0.87 0.72 Feasibility 4.561 (1.1589) 4.360 
 (1.1618) 1.312 0.192 0.34 0.46 0.81 0.77
  • 15. HOW DOES A COGNITIVE SUPPORT TOOL INFLUENCE IDEA GENERATION? THE AMBIENT CHAIR Chair has a built in “roof” which will provide over-head lighting THE POD Solid, partially enclosed chair that 
 allows for 360° movement (chair is 
 fixed in place)
  • 16. HOW DOES A COGNITIVE SUPPORT TOOL INFLUENCE IDEA GENERATION? RUSSIAN DOLL CHAIR 3 chairs in one, 1st layer is comfortable padding, 2nd is sturdy metal frame + 3rd is a stool. All chairs would be functional by themselves THE CAROUSEL Four chairs are attached to a 
 center coffee table. #41: LAYER #47: MIRROR OR ARRAY
  • 17. QUALITY OF CONCEPTS 
 INCREASED DISCUSSION Design Heuristics is a cognitive tool to combat creative “exhaustion” QUANTITY OF CONCEPTS 
 DECREASED BUT
  • 18. DISCUSSION COGNITIVE SUPPORTS AS JUST-IN-TIME SCAFFOLDING • Supports are related to specific pedagogical contexts, and cannot be viewed only in abstraction • Knowing when to introduce cognitive tools based on known instructional barriers (and those yet to be discovered) • Starting the process of self-learning that will be relevant in future professional work
  • 19. DISCUSSION DEVELOPING STUDENTS’ TOOL SENSIBILITY • Building instrumental judgment: not only objective knowledge of the tool, but how and when to use it • Increasing our understanding of key cognitive and emotive qualities that may increase receptivity to new cognitive supports • Heightening the role of cognitive tools/supports in developing a designer’s conceptual repertoire
  • 20. CONCLUSION &
 FUTURE WORK • Triangulation with other data sources to understand individual students’ perception of their developing instrumental judgments • Clarifying the nature of instrumental judgment, particularly within disciplinary and identity framings • Learning to capitalize on exhausted creative states is a key area for future instructional development, developing pedagogical experiences that increase students’ design expertise
  • 21. THANK YOU This research is funded by the National Science Foundation, Division of Undergraduate Education, Transforming Undergraduate Education in Science, Technology, Engineering and Mathematics (TUES Type II) Grants # 1323251 and #1322552. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the National Science Foundation. COLINGRAY.ME
 DESIGNHEURISTICS.COM