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Design variation through richness of rules embedded in LEGO bricks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Design variation through richness of rules embedded in LEGO bricks. / Mathias, David; Boa, Duncan; Hicks, Ben; Snider, Chris; Bennett, Peter; Taylor, Colin.

21st International Conference on Engineering Design, ICED 2017: University of British Columbia (UBC) Campus, Vancouver; Canada; 21 August 2017 through 25 August 2017. Vol. 8: Human Behaviour in Design 2017. p. 99-108.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Mathias, D, Boa, D, Hicks, B, Snider, C, Bennett, P & Taylor, C 2017, Design variation through richness of rules embedded in LEGO bricks. in 21st International Conference on Engineering Design, ICED 2017: University of British Columbia (UBC) Campus, Vancouver; Canada; 21 August 2017 through 25 August 2017. vol. 8: Human Behaviour in Design, pp. 99-108.

APA

Mathias, D., Boa, D., Hicks, B., Snider, C., Bennett, P., & Taylor, C. (2017). Design variation through richness of rules embedded in LEGO bricks. In 21st International Conference on Engineering Design, ICED 2017: University of British Columbia (UBC) Campus, Vancouver; Canada; 21 August 2017 through 25 August 2017 (Vol. 8: Human Behaviour in Design, pp. 99-108)

Vancouver

Mathias D, Boa D, Hicks B, Snider C, Bennett P, Taylor C. Design variation through richness of rules embedded in LEGO bricks. In 21st International Conference on Engineering Design, ICED 2017: University of British Columbia (UBC) Campus, Vancouver; Canada; 21 August 2017 through 25 August 2017. Vol. 8: Human Behaviour in Design. 2017. p. 99-108

Author

Mathias, David ; Boa, Duncan ; Hicks, Ben ; Snider, Chris ; Bennett, Peter ; Taylor, Colin. / Design variation through richness of rules embedded in LEGO bricks. 21st International Conference on Engineering Design, ICED 2017: University of British Columbia (UBC) Campus, Vancouver; Canada; 21 August 2017 through 25 August 2017. Vol. 8: Human Behaviour in Design 2017. pp. 99-108

Bibtex

@inproceedings{61f38b3016284fb8967a0490ff2d6a16,
title = "Design variation through richness of rules embedded in LEGO bricks",
abstract = "Design rules govern the design process by imposing constraints on the development of a product. Examples of design rules include engineering standards, regulations, standard operating procedures and existing designs as protected by patents. They have the potential to over-constrain the design space and impact innovation. In this paper, an exploratory study is reported that investigates the link between richness of design rules and the resulting design variation in a LEGO model. Design rule richness describes the quantity and explicitness of constraints relating to a design. Design rules, relating to a model of a simple spaceship, were embedded in individual LEGO bricks. Twenty participants were tasked with constructing the spaceship while adhering to the set design rules. There were four levels of design rule richness and the participants constructed a model for each level. Measuring the design variation through Design Structure Matrices revealed that the richness of the design rules only had a significant effect on the design variation between the least and most rich design rules. This suggests that a point exists at which the richness of design rules limit design variation.",
keywords = "Construction kits, Embedded rules, Human behaviour in design, Innovation, Requirements",
author = "David Mathias and Duncan Boa and Ben Hicks and Chris Snider and Peter Bennett and Colin Taylor",
year = "2017",
month = "8",
day = "15",
language = "English",
isbn = "9781904670964",
volume = "8: Human Behaviour in Design",
pages = "99--108",
booktitle = "21st International Conference on Engineering Design, ICED 2017",

}

RIS - suitable for import to EndNote

TY - GEN

T1 - Design variation through richness of rules embedded in LEGO bricks

AU - Mathias, David

AU - Boa, Duncan

AU - Hicks, Ben

AU - Snider, Chris

AU - Bennett, Peter

AU - Taylor, Colin

PY - 2017/8/15

Y1 - 2017/8/15

N2 - Design rules govern the design process by imposing constraints on the development of a product. Examples of design rules include engineering standards, regulations, standard operating procedures and existing designs as protected by patents. They have the potential to over-constrain the design space and impact innovation. In this paper, an exploratory study is reported that investigates the link between richness of design rules and the resulting design variation in a LEGO model. Design rule richness describes the quantity and explicitness of constraints relating to a design. Design rules, relating to a model of a simple spaceship, were embedded in individual LEGO bricks. Twenty participants were tasked with constructing the spaceship while adhering to the set design rules. There were four levels of design rule richness and the participants constructed a model for each level. Measuring the design variation through Design Structure Matrices revealed that the richness of the design rules only had a significant effect on the design variation between the least and most rich design rules. This suggests that a point exists at which the richness of design rules limit design variation.

AB - Design rules govern the design process by imposing constraints on the development of a product. Examples of design rules include engineering standards, regulations, standard operating procedures and existing designs as protected by patents. They have the potential to over-constrain the design space and impact innovation. In this paper, an exploratory study is reported that investigates the link between richness of design rules and the resulting design variation in a LEGO model. Design rule richness describes the quantity and explicitness of constraints relating to a design. Design rules, relating to a model of a simple spaceship, were embedded in individual LEGO bricks. Twenty participants were tasked with constructing the spaceship while adhering to the set design rules. There were four levels of design rule richness and the participants constructed a model for each level. Measuring the design variation through Design Structure Matrices revealed that the richness of the design rules only had a significant effect on the design variation between the least and most rich design rules. This suggests that a point exists at which the richness of design rules limit design variation.

KW - Construction kits

KW - Embedded rules

KW - Human behaviour in design

KW - Innovation

KW - Requirements

UR - http://www.scopus.com/inward/record.url?scp=85029771666&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781904670964

VL - 8: Human Behaviour in Design

SP - 99

EP - 108

BT - 21st International Conference on Engineering Design, ICED 2017

ER -