A Computational Framework for Exploring the Socio-Cognitive Features of Teams and their Influence on Design Outcomes

Harshika Singh; Gaetano Cascini; Hernan Casakin; Vishal Singh

doi:10.1017/dsi.2019.3

A Computational Framework for Exploring the Socio-Cognitive Features of Teams and their Influence on Design Outcomes

Harshika Singh, Gaetano Cascini, Hernan Casakin, Vishal Singh

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

8 Citations (Scopus)

101 Downloads (Pure)

Abstract

The dynamics of design teams play a critical role in product development, mainly in the early phases of the process. This paper presents a conceptual framework of a computational model about how cognitive and social features of a design team affect the quality of the produced design outcomes. The framework is based on various cognitive and social theories grounded in literature. Agent-Based Modelling (ABM) is used as a tool to evaluate the impact of design process organization and team dynamics on the design outcome. The model describes key research parameters, including dependent, independent, and intermediates. The independent parameters include: duration of a session, number of times a session is repeated, design task and team characteristics such as size, structure, old and new members. Intermediates include: features of team members (experience, learning abilities, and importance in the team) and social influence. The dependent parameter is the task outcome, represented by creativity and accuracy. The paper aims at laying the computational foundations for validating the proposed model in the future.

Original language	English
Title of host publication	Proceedings of the Design Society: International Conference on Engineering Design, ICED’19
Publisher	Cambridge University Press
Number of pages	10
DOIs	https://doi.org/10.1017/dsi.2019.3
Publication status	Published - 26 Jul 2019
MoE publication type	A4 Conference publication
Event	International Conference on Engineering Design - Delft, Netherlands Duration: 5 Aug 2019 → 8 Aug 2019 Conference number: 22 https://www.iced19.org/

Publication series

Name	Proceedings of the Design Society : International Conference on Engineering Design
Number	1
Volume	1
ISSN (Electronic)	2220-4342

Conference

Conference	International Conference on Engineering Design
Abbreviated title	ICED
Country/Territory	Netherlands
City	Delft
Period	05/08/2019 → 08/08/2019
Internet address	https://www.iced19.org/

Keywords

Collaborative design
Process modelling
Design management

Access to Document

10.1017/dsi.2019.3Licence: CC BY-NC-ND

computational_framework_for_exploring_the_sociocognitive_features_of_teams_and_their_influence_on_design_outcomesFinal published version, 780 KBLicence: CC BY-NC-ND

Cite this

Singh, H., Cascini, G., Casakin, H., & Singh, V. (2019). A Computational Framework for Exploring the Socio-Cognitive Features of Teams and their Influence on Design Outcomes. In Proceedings of the Design Society: International Conference on Engineering Design, ICED’19 (Proceedings of the Design Society : International Conference on Engineering Design; Vol. 1, No. 1). Cambridge University Press. https://doi.org/10.1017/dsi.2019.3

Singh, Harshika ; Cascini, Gaetano ; Casakin, Hernan et al. / A Computational Framework for Exploring the Socio-Cognitive Features of Teams and their Influence on Design Outcomes. Proceedings of the Design Society: International Conference on Engineering Design, ICED’19. Cambridge University Press, 2019. (Proceedings of the Design Society : International Conference on Engineering Design; 1).

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abstract = "The dynamics of design teams play a critical role in product development, mainly in the early phases of the process. This paper presents a conceptual framework of a computational model about how cognitive and social features of a design team affect the quality of the produced design outcomes. The framework is based on various cognitive and social theories grounded in literature. Agent-Based Modelling (ABM) is used as a tool to evaluate the impact of design process organization and team dynamics on the design outcome. The model describes key research parameters, including dependent, independent, and intermediates. The independent parameters include: duration of a session, number of times a session is repeated, design task and team characteristics such as size, structure, old and new members. Intermediates include: features of team members (experience, learning abilities, and importance in the team) and social influence. The dependent parameter is the task outcome, represented by creativity and accuracy. The paper aims at laying the computational foundations for validating the proposed model in the future. ",

keywords = "Collaborative design, Process modelling, Design management",

author = "Harshika Singh and Gaetano Cascini and Hernan Casakin and Vishal Singh",

year = "2019",

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booktitle = "Proceedings of the Design Society: International Conference on Engineering Design, ICED{\textquoteright}19",

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Singh, H, Cascini, G, Casakin, H & Singh, V 2019, A Computational Framework for Exploring the Socio-Cognitive Features of Teams and their Influence on Design Outcomes. in Proceedings of the Design Society: International Conference on Engineering Design, ICED’19. Proceedings of the Design Society : International Conference on Engineering Design, no. 1, vol. 1, Cambridge University Press, International Conference on Engineering Design, Delft, Netherlands, 05/08/2019. https://doi.org/10.1017/dsi.2019.3

A Computational Framework for Exploring the Socio-Cognitive Features of Teams and their Influence on Design Outcomes. / Singh, Harshika; Cascini, Gaetano; Casakin, Hernan et al.
Proceedings of the Design Society: International Conference on Engineering Design, ICED’19. Cambridge University Press, 2019. (Proceedings of the Design Society : International Conference on Engineering Design; Vol. 1, No. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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N1 - Conference code: 22

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AB - The dynamics of design teams play a critical role in product development, mainly in the early phases of the process. This paper presents a conceptual framework of a computational model about how cognitive and social features of a design team affect the quality of the produced design outcomes. The framework is based on various cognitive and social theories grounded in literature. Agent-Based Modelling (ABM) is used as a tool to evaluate the impact of design process organization and team dynamics on the design outcome. The model describes key research parameters, including dependent, independent, and intermediates. The independent parameters include: duration of a session, number of times a session is repeated, design task and team characteristics such as size, structure, old and new members. Intermediates include: features of team members (experience, learning abilities, and importance in the team) and social influence. The dependent parameter is the task outcome, represented by creativity and accuracy. The paper aims at laying the computational foundations for validating the proposed model in the future.

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Singh H, Cascini G, Casakin H, Singh V. A Computational Framework for Exploring the Socio-Cognitive Features of Teams and their Influence on Design Outcomes. In Proceedings of the Design Society: International Conference on Engineering Design, ICED’19. Cambridge University Press. 2019. (Proceedings of the Design Society : International Conference on Engineering Design; 1). doi: 10.1017/dsi.2019.3

A Computational Framework for Exploring the Socio-Cognitive Features of Teams and their Influence on Design Outcomes

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