This work investigates how consumers make preference judgments when taking into account both product form and function. In prior work, where aesthetic preference is quantified using visual conjoint methods, aesthetic preference and functional preference were handled separately. Here, we introduce a new methodology, metaconjoint analysis, for testing the hypothesis that when consumers make decisions taking into account both a product's form and its function they employ a more complex decision-making strategy than when basing their decisions on form or function alone. We anticipate that this strategy will involve both analytical and emotional processes. When compared with participant ratings of form and function combinations across 28 subjects, the metaconjoint model is shown to have a correlation that was not statistically different from an additive model of form and function. However, unlike the additive model, the metaconjoint model gave additional information about how participants make tradeoffs between form and function. Next, we developed a novel paradigm using functional magnetic resonance imaging (fMRI) to determine what parts of the brain are primarily involved with a given tradeoff between form and function. While in the scanner, study participants were asked to make decisions in trials where only form varied, where only function varied, and where both form and function varied. Results from 14 participants suggest that choices based on products that vary in both form and function involve some unique and some common brain networks as compared to choices based on form or function alone; notably, emotion-related regions are activated during these complex decisions where form and function are in conflict. These results are consistent with the inclusion of emotion in decision-making with regards to product choice and demonstrate the feasibility of using fMRI to address questions about the mental processes underlying consumer decisions. Studying preference decisions together with their accompanying neurological activity will give engineers and designers greater insight into the consumer decision-making process.

References

1.
Boatwright
,
P.
, and
Cagan
,
J.
,
2010
,
Built to Love: Creating Products that Captivate Customers
,
Berrett-Koehler Publishers
,
San Francisco, CA
.
2.
Payne
,
J. W.
,
Bettman
,
J. R.
, and
Johnson
,
E. J.
,
1988
, “
Adaptive Strategy Selection in Decision Making
,”
J. Exp. Psychol. Learn. Mem. Cogn.
,
14
(
3
), pp.
534
552
.10.1037/0278-7393.14.3.534
3.
Payne
,
J. W.
,
Bettman
,
J. R.
, and
Johnson
,
E. J.
,
1993
,
The Adaptive Decision Maker
,
Cambridge University Press
,
Cambridge
.
4.
Damasio
,
A. R.
,
1994
,
Descartes' Error: Emotion, Reason, and the Human Brain
,
Putnam
,
New York
.
5.
Loewenstein
,
G. F.
,
Weber
,
E. U.
,
Hsee
,
C. K.
, and
Welch
,
N.
,
2001
, “
Risk as Feelings
,”
Psycholog. Bull.
,
127
(
2
), pp.
267
286
.10.1037/0033-2909.127.2.267
6.
Bettman
,
J.
,
Luce
,
M.
, and
Payne
,
J.
,
1998
, “
Constructive Consumer Choice Processes
,”
J. Consum. Res.
,
25
(
3
), pp.
187
217
.10.1086/209535
7.
Shiv
,
B.
, and
Fedorikhin
,
A.
,
1999
, “
Heart and Mind in Conflict: The Interplay of Affect and Cognition in Consumer Decision Making
,”
J. Consum. Res.
,
26
(
3
), pp.
278
292
.10.1086/209563
8.
Isen
,
A. M.
,
2001
, “
An Influence of Positive Affect on Decision Making in Complex Situations: Theoretical Issues With Practical Implications
,”
J. Consum. Psychol.
,
11
(
2
), pp.
75
85
.10.1207/S15327663JCP1102_01
9.
Coricelli
,
G.
,
Dolan
,
R. J.
, and
Sirigu
,
A.
,
2007
, “
Brain, Emotion and Decision Making: The Paradigmatic Example of Regret
,”
Trends Cogn. Sci.
,
11
(
6
), pp.
258
265
.10.1016/j.tics.2007.04.003
10.
Slovic
,
P.
,
Finucane
,
M.
,
Peters
E.
, and
Macgregor
,
D.
,
2007
, “
The Affect Heuristic
,”
Eur. J. Oper. Res.
,
177
(
3
), pp.
1333
1352
.10.1016/j.ejor.2005.04.006
11.
Luce
,
D. R.
, and
Tukey
,
J. W.
,
1964
, “
Simultaneous Conjoint Measurement: A New Type of Fundamental Measurement
,”
J. Math. Psychol.
,
1
(
1
), pp.
1
27
.10.1016/0022-2496(64)90015-X
12.
Orsborn
,
S.
,
Cagan
,
J.
, and
Boatwright
,
P.
,
2009
, “
Quantifying Aesthetic Form Preference in a Utility Function
,”
J. Mech. Des.
,
131
(
6
), p.
061001
.10.1115/1.3116260
13.
Phan
,
K. L.
,
Wager
,
T.
,
Taylor
,
S. F.
, and
Liberzon
,
I.
,
2002
, “
Functional Neuroanatomy of Emotion: A Meta-Analysis of Emotion Activation Studies in PET and fMRI
,”
NeuroImage
,
16
(
2
), pp.
331
348
.10.1006/nimg.2002.1087
14.
Nguyen
,
T. A.
, and
Zeng
,
Y.
,
2010
, “
Analysis of Design Activities Using EEG Signals
,”
Proceedings of the ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE)
, Montreal, Quebec, Canada.
15.
Alexiou
,
K.
,
Zamenopoulos
,
T.
,
Johnson
,
J. H.
, and
Gilbert
,
S. J.
,
2009
, “
Exploring the Neurological Basis of Design Cognition Using Brain Imaging: Some Preliminary Results
,”
Des. Stud.
,
30
(
6
), pp.
623
647
.10.1016/j.destud.2009.05.002
16.
Knutson
,
B.
,
Rick
,
S.
,
Wimmer
,
G. E.
,
Prelec
,
D.
, and
Loewenstein
,
G.
,
2007
, “
Neural Predictors of Purchases
,”
Neuron
,
53
(
1
), pp.
147
156
.10.1016/j.neuron.2006.11.010
17.
Stoll
,
M.
,
Baecke
,
S.
, and
Kenning
,
P.
,
2008
, “
What They See is What They Get? An fMRI-Study on Neural Correlates of Attractive Packaging
,”
J. Consum. Behav.
,
7
(
4-5
), pp.
342
359
.10.1002/cb.256
18.
Green
,
P. E.
, and
Srinivasan
,
V.
,
1978
, “
Conjoint Analysis in Consumer Research: Issues and Outlook
,”
J. Consum. Res.
,
5
(
2
), pp.
103
123
.10.1086/208721
19.
Zwerina
,
K.
,
Huber
,
J.
, and
Kuhfeld
,
W.
,
1996
,
A General Method for Constructing Efficient Choice Designs
,
Fuqua School of Business, Duke University
,
Durham, NC
.
20.
Turner
,
H.
,
Orsborn
,
S.
, and
Lough
,
K. G.
,
2009
, “
Quantifying Product Color Preference in a Utility Function
,”
Proceedings of 2009 American Society of Engineering Management
, Springfield, MO.
21.
Kelly
,
J.
, and
Papalambros
,
P. Y.
,
2007
, “
Use Of Shape Preference Information in Product Design
,”
International Conference on Engineering Design
,
ICED’07
,
Paris, France
.
22.
Reid
,
T. N.
,
Gonzalez
,
R. D.
, and
Papalambros
,
P. Y.
,
2010
, “
Quantification of Perceived Environmental Friendliness for Vehicle Silhouette Design
,”
ASME J. Mech. Des.
,
132
(
10
),
p. 101010
.10.1115/1.4002290
23.
Tseng
,
I.
,
Cagan
,
J.
, and
Kotovsky
,
K.
,
2011
, “
Learning Stylistic Desires and Generating Preferred Designs of Consumers Using Neural Networks and Genetic Algorithms
,”
Proceedings of the ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE)
,
Washington
,
DC
.
24.
Huettel
,
S. A.
,
Song
,
A. W.
, and
McCarthy
,
G.
,
2004
,
Functional Magnetic Resonance Imaging
,
Sinauer Associates
,
Sunderland, MA
.
25.
Vartanian
,
O.
, and
Goel
,
V.
,
2004
, “
Neuroanatomical Correlates of Aesthetic Preference for Paintings
,”
Neuroreport
,
15
(
5
), pp.
893
897
.10.1097/00001756-200404090-00032
26.
Knutson
,
B.
,
Adams
,
C. M.
,
Fong
,
G. W.
, and
Hommer
,
D.
,
2001
, “
Anticipation of Increasing Monetary Reward Selectively Recruits Nucleus Accumbens
,”
J. Neurosci.
,
21
(
16
), p.
RC159
.
27.
Bush
,
G.
,
Luu
,
P.
, and
Posner
,
M.
,
2000
, “
Cognitive and Emotional Influences in Anterior Cingulate Cortex
,”
Trends Cogn. Sci.
,
4
(
6
), pp.
215
222
.10.1016/S1364-6613(00)01483-2
28.
Jacobsen
,
T.
,
Schubotz
,
R. I.
,
Höfel
,
L.
, and
Von Cramon
,
D. Y.
,
2006
, “
Brain Correlates of Aesthetic Judgment of Beauty
,”
NeuroImage
,
29
(
1
), pp.
276
285
.10.1016/j.neuroimage.2005.07.010
29.
Ernst
,
M.
, and
Paulus
,
M. P.
,
2005
, “
Neurobiology of Decision Making: A Selective Review From A Neurocognitive and Clinical Perspective
,”
Biol. Psychiatry
,
58
(
8
), pp.
597
604
.10.1016/j.biopsych.2005.06.004
30.
Plassmann
,
H.
,
O'Doherty
,
J.
,
Shiv
,
B.
, and
Rangel
,
A.
,
2008
, “
Marketing Actions Can Modulate Neural Representations of Experienced Pleasantness
,”
Proc. Ntnl. Acad. Sci.
,
105
(
3
), pp.
1050
1054
.10.1073/pnas.0706929105
31.
Zysset
,
S.
,
Wendt
,
C. S.
,
Volz
,
K. G.
,
Neumann
,
J.
,
Huber
O.
, and
Von Cramon
,
D. Y.
,
2006
, “
The Neural Implementation of Multi-Attribute Decision Making: A Parametric fMRI Study With Human Subjects
,”
NeuroImage
,
31
(
3
), pp.
1380
1388
.10.1016/j.neuroimage.2006.01.017
32.
Goel
,
V.
, and
Dolan
,
R. J.
,
2003
, “
Reciprocal Neural Response Within Lateral and Ventral Medial Prefrontal Cortex During Hot and Cold Reasoning.
,”
NeuroImage
,
20
(
4
), pp.
2314
2321
.10.1016/j.neuroimage.2003.07.027
33.
Luce
,
R. D.
,
1977
, “
The Choice Axiom After Twenty Years
,”
J. Math. Psychol.
,
15
(
3
), pp.
215
233
.10.1016/0022-2496(77)90032-3
34.
Green
,
P. E.
,
Carroll
,
J. D.
, and
DeSarbo
,
W. S.
,
1981
, “
Estimating Choice Probabilities in Multiattribute Decision Making
,”
J. Consum. Res.
,
8
(
1
), pp.
76
84
.10.1086/208843
35.
Johnson
,
R. M.
,
1987
, “
Adaptive Conjoint Analysis
,”
Sawtooth Software Conference Proceedings
, pp.
253
265
.
36.
Kessels
,
R.
,
Goos
,
P.
, and
Vandebroek
,
M.
,
2010
, “
Optimal Two-Level Conjoint Designs With Constant Attributes in the Profile Sets
,”
J. Stat. Plann. Inference
,
140
(
11
), pp.
3035
3046
.10.1016/j.jspi.2010.04.007
37.
Netzer
,
O.
,
Toubia
,
O.
,
Bradlow
,
E. T.
,
Dahan
,
E.
,
Evgeniou
,
T.
,
Feinberg
,
F. M.
,
Feit
,
E. M.
,
Hui
,
S. K.
,
Johnson
,
J.
,
Liechty
,
J. C.
,
Orlin
,
J. B.
, and
Rao
,
V. R.
,
2008
, “
Beyond Conjoint Analysis: Advances in Preference Measurement
,”
Mark. Lett.
,
19
(
3–4
), pp.
337
354
.10.1007/s11002-008-9046-1
38.
Amaro
,
E.
, and
Barker
,
G. J.
,
2006
, “
Study Design in fMRI: Basic Principles
,”
Brain Cogn.
,
60
(
3
), pp.
220
232
.10.1016/j.bandc.2005.11.009
39.
Friston
,
K. J.
,
Penny
,
W. D.
,
Ashburner
,
J.
,
Kiebel
,
S. J.
, and
Nichols
,
T. E.
,
2006
,
Statistical Parametric Mapping: The Analysis of Functional Brain Images
,
Academic Press
,
New York
.
40.
Forman
,
S. D.
,
Cohen
,
J. D.
,
Fitzgerald
,
M.
,
Eddy
,
W. F.
,
Mintun
,
M. A.
, and
Noll
,
D. C.
,
1995
, “
Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster-Size Threshold
,”
Magn. Reson. Med.
,
33
(
5
), pp.
636
647
.10.1002/mrm.1910330508
41.
Lieberman
,
M. D.
, and
Cunningham
,
W. A.
,
2009
, “
Type I and Type II Error Concerns in Fmri Research: Re-Balancing the Scale
,”
Soc. Cogn. Affect. Neurosci.
,
4
(
4
), pp.
423
428
.10.1093/scan/nsp052
42.
Nichols
,
T.
,
Brett
,
M.
,
Andersson
,
J.
,
Wager
,
T.
, and
Poline
,
J.-B.
,
2005
, “
Valid Conjunction Inference With the Minimum Statistic
,”
NeuroImage
,
25
(
3
), pp.
653
660
.10.1016/j.neuroimage.2004.12.005
43.
Eisenberger
,
N. I.
, and
Lieberman
,
M. D.
,
2004
, “
Why Rejection Hurts: A Common Neural Alarm System For Physical and Social Pain
,”
Trends Cogn. Sci.
,
8
(
7
), pp.
294
300
.10.1016/j.tics.2004.05.010
44.
Craig
,
A. D.
,
2002
, “
How Do You Feel? Interoception: The Sense of the Physiological Condition of the Body
,”
Nat. Rev. Neurosci.
,
3
(
8
), pp.
655
666
.
45.
Critchley
,
H. D.
,
Wiens
,
S.
,
Rotshtein
,
P.
,
Ohman
,
A.
, and
Dolan
,
R. J.
,
2004
, “
Neural Systems Supporting Interoceptive Awareness
,”
Nat. Neurosci.
,
7
(
2
), pp.
189
195
.10.1038/nn1176
46.
Nachev
,
P.
,
Kennard
,
C.
, and
Husain
,
M.
,
2008
, “
Functional Role of the Supplementary and Pre-Supplementary Motor Areas.
,”
Nat. Rev. Neurosci.
,
9
(
11
), pp.
856
869
.10.1038/nrn2478
47.
Ritov
,
I.
, and
Baron
,
J.
,
2011
, “
Joint Presentation Reduces the Effect of Emotion On Evaluation of Public Actions
,”
Cogn. Emotion
,
25
(
4
), pp.
657
675
.10.1080/02699931.2010.512512
48.
Hsee
,
C. K.
,
1996
, “
The Evaluability Hypothesis: An Explanation for Preference Reversals Between Joint and Separate Evaluations of Alternatives
,”
Org. Behav. Human Decis. Process.
,
67
(
3
), pp.
247
257
.10.1006/obhd.1996.0077
49.
Bazerman
,
M. H.
,
Tenbrunsel
,
A. E.
, and
Wade-Benzoni
,
K.
,
1998
, “
Negotiating With Yourself and Losing: Making Decisions With Competing Internal Preferences
,”
Acad. Manage. Rev.
,
23
(
2
), pp.
225
241
.
50.
Kahneman
,
D.
, and
Ritov
,
I.
,
1994
, “
Determinants of Stated Willingness to Pay for Public Goods: A Study in the Headline Method
,”
J. Risk Uncertainty
,
9
(
1
), pp.
5
37
.10.1007/BF01073401
51.
Pochon
,
J.-B.
,
Riis
,
J.
,
Sanfey
,
A. G.
,
Nystrom
,
L. E.
, and
Cohen
,
J. D.
,
2008
, “
Functional Imaging of Decision Conflict
,”
J. Neurosci.
,
28
(
13
), pp.
3468
3473
.10.1523/JNEUROSCI.4195-07.2008
52.
Dux
,
P. E.
,
Ivanoff
,
J.
,
Asplund
,
C. L.
, and
Marois
,
R.
,
2006
, “
Isolation of a Central Bottleneck of Information Processing With Time-Resolved FMRI
,”
Neuron
,
52
(
6
), pp.
1109
1120
.10.1016/j.neuron.2006.11.009
53.
Poldrack
,
R. A.
,
2006
, “
Can Cognitive Processes be Inferred From Neuroimaging Data?
,”
Trends Cogn. Sci.
,
10
(
2
), pp.
59
63
.10.1016/j.tics.2005.12.004
54.
Falk
,
E. B.
,
Berkman
,
E. T.
,
Mann
,
T.
,
Harrison
,
B.
, and
Lieberman
,
M. D.
,
2010
, “
Predicting Persuasion-Induced Behavior Change From the Brain
,”
J. Neurosci.
,
30
(
25
), pp.
8421
8424
.10.1523/JNEUROSCI.0063-10.2010
You do not currently have access to this content.