Building prototypes is an important part of the concept selection phase of the design process, where fuzzy ideas get represented to support communication and decision making. However, the previous studies have shown that prototypes generate different levels of user feedback based on their fidelity and esthetics. Furthermore, prior research on concept selection has shown that individual risk attitude effects how individuals select ideas, as creative ideas are perceived to be riskier in comparison to less creative ideas. While the role of risk has been investigated in concept selection, there is lack of research on how risk is related to the selection of prototypes at various levels of fidelity. Thus, the purpose of this study was to investigate the impact of prototype fidelity, concept creativity, and risk aversion on perceived riskiness and concept selection through a between-subjects study with 72 engineering students. The results revealed that there was a “goldilocks” effect in which students choose concepts with “just the right amount” of novelty, not too much and not too little, as long as quality was adequate. In addition, the prototype fidelity of a concept had an interaction with uniqueness, indicating that unique concepts are more likely to be perceived as less risky if presented at higher levels of fidelity.

References

1.
Fox
,
J.
,
2016
, “
The Big Spenders on R&D
,” accessed Sept. 2, 2017, https://www.bloomberg.com/view/articles/2016-04-29/amazon-and-facebook-are-big-spenders-on-r-d.
2.
Cooper
,
R. G.
,
2001
,
Winning at New Products: Accelerating the Process From Idea to Launch
,
Perseus Books
,
New York
.
3.
Cooper
,
R. G.
,
2008
, “
Perspective: The Stage‐Gate® Idea‐to‐Launch Process—Update, What's New, and Nexgen Systems
,”
J. Prod. Innovation Manage.
,
25
(
3
), pp.
213
232
.
4.
Kolodner
,
J. L.
, and
Wills
,
L. M.
,
1996
, “
Powers of Observation in Creative Design
,”
Des. Stud.
,
17
(
4
), pp.
385
416
.
5.
Brereton
,
M.
, and
McGarry
,
B.
,
2000
, “
An Observational Study of How Objects Support Engineering Design Thinking and Communication: Implications for the Design of Tangible Media
,”
SIGCHI conference on Human Factors in Computing Systems
, The Hague, The Netherlands, Apr. 1–6, pp. 217–224.https://dl.acm.org/citation.cfm?id=332434
6.
Buchenau
,
M.
, and
Fulton Suri
,
J.
,
2000
, “
Experience Prototyping
,” Third conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques,
Brooklyn, NY
, Aug. 17–19, pp.
424
433
.
7.
Yang
,
M. C.
, and
Epstein
,
D. J.
,
2005
, “
A Study of Prototypes, Design Activity, and Design Outcomes
,”
Des. Stud.
,
26
(
6
), pp.
649
669
.
8.
Liu
,
L.
, and
Khooshabeh
,
P.
,
2003
, “
Paper or Interactive?: A Study of Prototyping Techniques for Ubiquitous Computing Environments
,”
CHI'03 Extended Abstracts on Human Factors in Computing Systems
, Ft. Lauderdale, FL, Apr. 5–10, pp. 1030–1031.http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.6682&rep=rep1&type=pdf
9.
Dow
,
S. P.
, Glassco, A., Kass, J., Schwarz, M., and Klemmer, S. R.,
2009
, “
The Effect of Parallel Prototyping on Design Performance, Learning, and Self-Efficacy
,” Stanford Technical Report.
10.
McCurdy
,
M.
, Connors, C., Pyrzak, G., Kanefsky, B., and Vera, A. H.,
2006
, “
Breaking the Fidelity Barrier: An Examination of Our Current Characterization of Prototypes and an Example of a Mixed-Fidelity Success
,”
SIGCHI Conference on Human Factors in Computing Systems
, Montréal, QC, Canada, Apr. 22–27, pp. 1233–1242.
11.
Doke
,
E. R.
, and
Swanson
,
N.
,
1995
, “
Decision Variables for Selecting Prototyping in Information Systems Development: A Delphi Study of MIS Managers
,”
Inf. Manage.
,
29
(
4
), pp.
173
182
.
12.
Viswanathan
,
V. L.
, and
Linsey
,
J. S.
,
2012
, “
Physical Models and Design Thinking: A Study of Functionality, Novelty, and Variety of Ideas
,”
ASME J. Mech. Des.
,
134
, p.
091004
.
13.
Walker
,
M.
,
Takayama
,
L.
, and
Landay
,
J. A.
,
2002
, “
High-Fidelity or Low-Fidelity, Paper or Computer? Choosing Attributes When Testing Web Prototypes
,”
Human Factors and Ergonomics Society Annual Meeting
, Baltimore, MD, Oct. 4.https://doi-org.ezaccess.libraries.psu.edu/10.1177/154193120204600513
14.
Elsen
,
C.
,
Häggman
,
A.
,
Honda
,
T.
, and
Yang
,
M. C.
,
2012
, “
Representation in Early Stage Design: An Analysis of the Influence of Sketching and Prototyping in Design Projects
,”
ASME
Paper No. DETC2012-70248.
15.
Neeley
,
W. L.
, Jr.,
Lim
,
K.
,
Zhu
,
A.
, and
Yang
,
M. C.
,
2013
, “
Building Fast to Think Faster: Exploiting Rapid Prototyping to Accelerate Ideation During Early Stage Design
,”
ASME
Paper No. DETC2013-12635.
16.
Dow
,
S. P.
,
Glassco
,
A.
,
Kass
,
J.
,
Schwarz
,
M.
,
Schwartz
,
D. L.
, and
Klemmer
,
S. R.
,
2010
, “
Parallel Prototyping Leads to Better Design Results, more Divergence, and Increased Self-Efficacy
,”
ACM Trans. Comput.-Hum. Interact. (TOCHI)
,
17
(
4
), p.
18
.
17.
Bailey
,
B.
,
2010
, “
Paper Prototypes Work as Well as Software Prototypes
,” U.S. Department of Health & Human Services, Washington, DC, accessed Jan. 2, 2019, https://www.usability.gov/get-involved/blog/2005/06/paper-prototypes-and-software-prototypes.html
18.
Menold
,
J.
,
Simpson
,
T. W.
, and
Jablokow
,
K. W.
,
2016
, “
The Prototype for X (PFX) Framework: Assessing the Impact of PFX on Desirability, Feasibility, and Viability of End Designs
,”
ASME
Paper No. DETC2016-60225.
19.
Catani
,
M. B.
, and
Biers
,
D. W.
,
1998
, “
Usability Evaluation and Prototype Fidelity: Users and Usability Professionals
,”
Human Factors and Ergonomics Society Annual Meeting
, Chicago, IL, Oct. 5–9.https://doi-org.ezaccess.libraries.psu.edu/10.1177/154193129804201901
20.
Rudd
,
J.
,
Stern
,
K.
, and
Isensee
,
S.
,
1996
, “
Low vs. High-Fidelity Prototyping Debate
,”
Interactions
,
3
(
1
), pp.
76
85
.
21.
Sauer
,
J.
,
Seibel
,
K.
, and
Rüttinger
,
B.
,
2010
, “
The Influence of User Expertise and Prototype Fidelity in Usability Tests
,”
Appl. Ergon.
,
41
(
1
), pp.
130
140
.
22.
Ulrich
,
K. T.
,
Eppinger
,
S. D.
, and
Goyal
,
A.
,
2011
,
Product Design and Development
,
McGraw-Hill
,
New York
.
23.
Wall
,
M. B.
,
Ulrich
,
K. T.
, and
Flowers
,
W. C.
,
1992
, “
Evaluating Prototyping Technologies for Product Design
,”
Res. Eng. Des.
,
3
(
3
), pp.
163
177
.
24.
Sauer
,
J.
, and
Sonderegger
,
A.
,
2009
, “
The Influence of Prototype Fidelity and Aesthetics of Design in Usability Tests: Effects on User Behaviour, Subjective Evaluation and Emotion
,”
Appl. Ergon.
,
40
(
4
), pp.
670
677
.
25.
Christie
,
E. J.
,
Jensen
,
D. D.
,
Buckley
,
R. T.
,
Menefee
,
D. A.
,
Ziegler
,
K. K.
,
Wood
,
K. L.
, and
Crawford
,
R. H.
,
2012
, “
Prototyping Strategies: Literature Review and Identification of Critical Variables
,” ASEE Annual Conference & Exposition, San Antonio, TX, June 10–13.
26.
Virzi
,
R. A.
,
Sokolov
,
J. L.
, and
Karis
,
D.
,
1996
, “
Usability Problem Identification Using Both Low- and High-Fidelity Prototypes
,”
SIGCHI Conference on Human Factors in Computing Systems
, Vancouver, BC, Canada, Apr. 13–18, pp. 236–243.https://dl.acm.org/citation.cfm?id=238516
27.
Macomber
,
B.
, and
Yang
,
M.
,
2011
, “
The Role of Sketch Finish and Style in User Responses to Early Stage Design Concepts
,”
ASME
Paper No. DETC2011-48714.
28.
Sternberg
,
R.
,
1999
,
Handbook of Creativity
,
Cambridge University Press
,
New York
.
29.
Runco
,
M. A.
, and
Jaeger
,
G. J.
,
2012
, “
The Standard Definition of Creativity
,”
Creativity Res. J.
,
24
(
1
), pp.
92
96
.
30.
Starkey
,
E.
,
Toh
,
C. A.
, and
Miller
,
S. R.
,
2016
, “
Abandoning Creativity: The Evolution of Creative Ideas in Engineering Design Course Projects
,”
Des. Stud.
,
47
, pp.
47
72
.
31.
Lim
,
Y.-K.
,
Pangam
,
A.
,
Periyasami
,
S.
, and
Aneja
,
S.
,
2006
, “
Comparative Analysis of High- and Low-fidelity Prototypes for More Valid Usability Evaluations of Mobile Devices
,”
Fourth Nordic conference on Human-Computer Interaction: Changing Roles
(
NordiCHI
), Oslo, Norway, Oct. 14–18https://dl.acm.org/citation.cfm?doid=1182475.1182506.
32.
Lim
,
Y.-K.
,
Stolterman
,
E.
, and
Tenenberg
,
J.
,
2008
, “
The Anatomy of Prototypes: Prototypes as Filters, prototypes as Manifestations of Design Ideas
,”
ACM Trans. Comput.-Hum. Interact. (TOCHI)
,
15
(
2
), p.
7
.
33.
Harris
,
C. R.
, and
Jenkins
,
M.
,
2006
, “
Gender Differences in Risk Assessment: Why Do Women Take Fewer Risks than Men?
,”
Judgment Decis. Making
,
1
(
1
), pp.
48
63
.http://psycnet.apa.org/record/2007-04381-005
34.
Foster
,
J. D.
,
Shenesey
,
J. W.
, and
Goff
,
J. S.
,
2009
, “
Why Do Narcissists Take More Risks? Testing the Roles of Perceived Risks and Benefits of Risky Behaviors
,”
Pers. Individ. Differ.
,
47
(
8
), pp.
885
889
.
35.
Purdy
,
G.
,
2010
, “
ISO 31000: 2009—Setting a New Standard for Risk Management
,”
Risk Anal.: An Int. J.
,
30
(
6
), pp.
881
886
.
36.
Heath
,
C.
, and
Tversky
,
A.
,
1991
, “
Preferences and Beliefs: Ambiguity and Competence in Choice Under Uncertainty
,”
J. Risk Uncertainty
,
2
, pp.
5
35
.
37.
Sitkin
,
S. B.
, and
Pablo
,
A. L.
,
1992
, “
Reconceptualizing the Determinants of Risk Behavior
,”
Acad. Manage. Rev.
,
17
(
1
), pp.
9
38
.
38.
Dewett
,
T.
,
2007
, “
Linking Intrinsic Motivation, Risk Taking, and Employee Creativity in an R&D Environment
,”
RD Manage.
,
37
(
3
), pp.
197
208
.
39.
Liu
,
M.
,
Wen
,
Y.
, and
Burns
,
S. A.
,
2004
, “
Life Cycle Cost Oriented Seismic Design Optimization of Steel Moment Frame Structures With Risk-Taking Preference
,”
Eng. Struct.
,
26
(
10
), pp.
1407
1421
.
40.
Van Bossuyt
,
D.
,
Tumer
,
I.
, and
Wall
,
S.
,
2012
, “
A Case for Trading Risk in Complex Conceptual Design Trade Studies
,”
Res. Eng. Des.
,
24
(
3
), pp.
1
17
.
41.
Barclift
,
M.
,
Simpson
,
T. W.
,
Nusiner
,
M. A.
, and
Miller
,
S.
,
2017
, “
An Investigation Into the Driving Factors of Creativity in Design for Additive Manufacturing
,”
ASME
Paper No. DETC2017-68395.
42.
Khurana
,
A.
, and
Rosenthal
,
S. R.
,
1997
, “
Integrating the Fuzzy Front End of New Product Development
,”
IEEE Eng. Manage. Rev.
,
25
(
4
), pp.
35
49
.
43.
Jensen
,
M. B.
,
Elverum
,
C. W.
, and
Steinert
,
M.
,
2017
, “
Eliciting Unknown Unknowns With Prototypes: Introducing Prototrials and Prototrial-Driven Cultures
,”
Des. Stud.
,
49
, pp.
1
31
.
44.
Toh
,
C. A.
, and
Miller
,
S. R.
,
2016
, “
Choosing Creativity: The Role of Individual Risk and Ambiguity Aversion on Creative Concept Selection in Engineering Design
,”
Res. Eng. Des.
,
27
(
3
), pp.
195
219
.
45.
Rietzchel
,
E. F.
,
Nijstad
,
B. A.
, and
Stroebe
,
W.
,
2006
, “
Productivity is Not Enough: a Comparison of Interactive and Nominal Groups in Idea Generation and Selection
,”
J. Exp. Soc. Psychol.
,
42
(
2
), pp.
244
251
.
46.
Mueller
,
J. S.
,
Melwani
,
S.
, and
Goncalo
,
J. A.
,
2011
, “
The Bias Against Creativity: Why People Desire but Reject Creative Ideas
,”
Psychol. Sci.
,
20
(
10
), pp.
1
5
.
47.
Greenberg
,
M. D.
,
Pardo
,
B.
,
Hariharan
,
K.
, and
Gerber
,
E.
,
2013
, “
Crowdfunding Support Tools: Predicting Success & Failure
,”
CHI'13 Extended Abstracts on Human Factors in Computing Systems
, Paris, France, Apr. 27–May 2.
48.
Dawis
,
R. V.
,
1987
, “
Scale Construction
,”
J. Couns. Psychol.
,
34
(
4
), p.
481
.
49.
Weng
,
L.-J.
,
2004
, “
Impact of the Number of Response Categories and Anchor Labels on Coefficient Alpha and Test-retest Reliability
,”
Educ. Psychol. Meas.
,
64
(
6
), pp.
956
972
.
50.
Starkey
,
E. M.
,
McKay
,
A. S.
,
Hunter
,
S. T.
, and
Miller
,
S. R.
,
2016
, “
Dissecting Creativity: How Dissection Virtuality, Analogical Distance, And Product Complexity Impact Creativity and Self-Efficacy
,”
Seventh International Conference on Design Computing and Cognition
. Evanston, IL, June 27–29, p.
10
.
51.
Amabile
,
T.
,
1996
,
Creativity in Context
,
Westview Press
,
Boulder, CO
.
52.
Keil
,
M.
,
Wallace
,
L.
,
Turk
,
D.
,
Dixon-Randall
,
G.
, and
Nulden
,
U.
,
2000
, “
An Investigation of Risk Perception and Risk Propensity on the Decision to Continue a Software Development Project
,”
J. Syst. Software
,
53
(
2
), pp.
145
157
.
53.
Besemer
,
S. P.
,
1998
, “
Creative Product Analysis Matrix: Testing the Model Structure and a Comparison Among Products–Three Novel Chairs
,”
Creativity Res. J.
,
11
(
4
), pp.
333
346
.
54.
Besemer
,
S. P.
, and
O'Quin
,
K.
,
1999
, “
Confirming the Three-Factor Creative Product Analysis Matrix Model in an American Sample
,”
Creativity Res. J.
,
12
(
4
), pp.
287
296
.
55.
Han
,
S. D.
,
Boyle
,
P. A.
,
Arfanakis
,
K.
,
Fleischman
,
D. A.
,
Yu
,
L.
,
Edmonds
,
E. C.
, and
Bennett
,
D. A.
,
2012
, “
Neural Intrinsic Connectivity Networks Associated With Risk Aversion in Old Age
,”
Behav. Brain Res.
,
227
(
1
), pp.
233
240
.
56.
Toh
,
C. A.
, and
Miller
,
S. R.
,
2016
, “
The Preferences for Creativity Scale (PCS): Identifying the Underlying Constructs of Creative Concept Selection
,”
ASME
Paper No. DETC2016-60414.
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