Literature DB >> 29551856

Do design decisions depend on "dictators"?

David A Broniatowski1.   

Abstract

Design decisions often require input from multiple stakeholders or require balancing multiple design requirements. However, leading axiomatic approaches to decision-based design suggest that combining preferences across these elements is virtually guaranteed to result in irrational outcomes. This has led some to conclude that a single "dictator" is required to make design decisions. In contrast, proponents of heuristic approaches observe that aggregate decisions are frequently made in practice, and argue that this widespread usage justifies the value of these heuristics to the engineering design community. This paper demonstrates that these approaches need not be mutually exclusive. Axiomatic approaches can be informed by empirically motivated restrictions on the way that individuals can order their preferences. These restrictions are represented using "anigrafs"-structured relationships between alternatives that are represented using a graph-theoretic formalism. This formalism allows for a computational assessment of the likelihood of irrational outcomes. Simulation results show that even minimal amounts of structure can vastly reduce the likelihood of irrational outcomes at the level of the group, and that slightly stronger restrictions yield probabilities of irrational preferences that never exceed 5%. Next, an empirical case study demonstrates how anigrafs may be extracted from survey data, and a model selection technique is introduced to examine the goodness-of-fit of these anigrafs to preference data. Taken together, these results show how axiomatic consistency can be combined with empirical correspondence to determine the circumstances under which "dictators" are necessary in design decisions.

Entities:  

Keywords:  Anigraf; Arrow’s theorem; Decision-based design; Mental models; Simulation; Trajectory mapping

Year:  2017        PMID: 29551856      PMCID: PMC5849258          DOI: 10.1007/s00163-017-0259-2

Source DB:  PubMed          Journal:  Res Eng Des        ISSN: 0934-9839            Impact factor:   2.655


  9 in total

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Authors:  J Langan-Fox; S Code; K Langfield-Smith
Journal:  Hum Factors       Date:  2000       Impact factor: 2.888

3.  Culture as shared cognitive representations.

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Journal:  Proc Natl Acad Sci U S A       Date:  1996-05-14       Impact factor: 11.205

4.  What's magic about magic numbers? Chunking and data compression in short-term memory.

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5.  Physician decision making and cardiac risk: effects of knowledge, risk perception, risk tolerance, and fuzzy processing.

Authors:  Valerie F Reyna; Farrell J Lloyd
Journal:  J Exp Psychol Appl       Date:  2006-09

6.  The structural approach to shared knowledge: an application to engineering design teams.

Authors:  Mark S Avnet; Annalisa L Weigel
Journal:  Hum Factors       Date:  2013-06       Impact factor: 2.888

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Authors:  N Moray
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1990-04-12       Impact factor: 6.237

8.  Trajectory mapping: a new nonmetric scaling technique.

Authors:  W Richards; J J Koenderink
Journal:  Perception       Date:  1995       Impact factor: 1.490

Review 9.  Cultural mosaics and mental models of nature.

Authors:  Megan Bang; Douglas L Medin; Scott Atran
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-22       Impact factor: 11.205

  9 in total

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