Designing Improved Teams for Crowdsourced Competitions

McComb, Christopher; Maier, Torsten

doi:10.1115/detc2018-85457

Cited by 5 publications

(6 citation statements)

References 16 publications

(18 reference statements)

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“…In team ideation, it is often encouraged to build on other people's ideas. This has been shown to have a positive effect on both nominal and actual teams [24,32,34].…”

Section: Background 21 Idea Generation Mechanismsmentioning

confidence: 95%

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Idea Generation Mechanisms: Comparing the Influence of Classification, Combination, Building on Others, and Stimulation Mechanisms on Ideation Effectiveness

Deo

Blej

Kirjavainen

et al. 2021

Journal of Mechanical Design

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Ideation methods have been extensively studied, and several ideation methods can be beneficial in different contexts, but it is not understood what makes a specific method work. Previous work has shown that all the ideation methods comprise of 25 fundamental ideation mechanisms in two categories: idea implementation and idea promoting mechanisms. In this study, we try to understand how individual mechanisms affect idea generation outcomes. We chose four idea promoting mechanisms: two from the process category (Classification & Combination) and two from the idea sources category (Building on Others and Stimulation). These mechanisms were selected as they are examples of comparable mechanisms that could easily be integrated into any other ideation method. We conducted four experiments and assessed idea quantity, novelty, and originality. Our study showed that the chosen mechanism increased ideation performance. For the most part, the mechanisms are statistically equivalent, but we found evidence that classification outperforms combination in a simple ideation exercise. We also found the building on others can be more useful than the type of stimulation used in engineering concept generation, but the difference was not found in a simple ideation exercise. Overall, we find evidence that all mechanisms improve ideation effectiveness and could be incorporated into any ideation method, but further studies are needed to build more comprehensive understanding

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“…In team ideation, it is often encouraged to build on other people's ideas. This has been shown to have a positive effect on both nominal and actual teams [24,32,34].…”

Section: Background 21 Idea Generation Mechanismsmentioning

confidence: 95%

“…Edelman et al [27] and Heininger et al [31], on the other hand, show how individual characteristics influence team ideation. Also, nominal teams vs. actual teams during concept development have been studied [32][33][34].…”

Section: Background 21 Idea Generation Mechanismsmentioning

confidence: 99%

Idea Generation Mechanisms: Comparing the Influence of Classification, Combination, Building on Others, and Stimulation Mechanisms on Ideation Effectiveness

Deo

Blej

Kirjavainen

et al. 2021

Journal of Mechanical Design

View full text Add to dashboard Cite

show abstract

“…Some researchers have shown that intermittent communication can provide the benefits of constant communication, as well as the benefits of individual work [Bernstein et al, 2018]. There are even some cases where no communication is the best team process strategy [McComb et al, 2017a, McComb andMaier, 2018].…”

Section: Mechanisms Of Agent-based Modeling For Design Teamsmentioning

confidence: 99%

KABOOM: An Agent-Based Model for Simulating Cognitive Sale in Team Problem Solving

McComb¹,

Jablokow²,

Lapp³

2019

Preprint

Self Cite

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The performance of a design team is influenced by each team member's unique cognitive style - i.e., their preferred manner of managing structure as they solve problems, make decisions, and seek to bring about change. Cognitive style plays an important role in how teams of engineers design and collaborate, but the interactions of cognitive style with team organization and processes have not been well studied. The limitations of small-scale behavioral experiments have led researchers to develop computational models for simulating teamwork; however, none have modeled the effects of individuals' cognitive styles. This paper presents KABOOM (KAI Agent-Based Organizational Optimization Model), the first agent-based model of teamwork to incorporate cognitive style. In KABOOM, heterogeneous agents imitate the diverse problem-solving styles described by Kirton's Adaption-Innovation construct, which places each individual somewhere along the spectrum of cognitive style preference. Using the model, we investigate the interacting effects of a team's communication patterns, specialization, and cognitive style composition on design performance. By simulating cognitive style in the context of team problem solving, KABOOM lays the groundwork for the development of team simulations that reflect humans' diverse problem-solving styles.

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“…Some researchers have shown that intermittent communication can provide the benefits of constant communication, as well as the benefits of individual work (Bernstein, Shore & Lazer 2018). There are even some cases where no communication is the best team process strategy (McComb, Cagan & Kotovsky 2017 a ; McComb & Maier 2018).…”

Section: Introductionmentioning

confidence: 99%

KABOOM: an agent-based model for simulating cognitive style in team problem solving

2019

Self Cite

View full text Add to dashboard Cite

The performance of a design team is influenced by each team member’s unique cognitive style – i.e., their preferred manner of managing structure as they solve problems, make decisions, and seek to bring about change. Cognitive style plays an important role in how teams of engineers design and collaborate, but the interactions of cognitive style with team organization and processes have not been well studied. The limitations of small-scale behavioral experiments have led researchers to develop computational models for simulating teamwork; however, none have modeled the effects of individuals’ cognitive styles. This paper presents the Kirton Adaption–Innovation Inventory agent-based organizational optimization model (KABOOM), the first agent-based model of teamwork to incorporate cognitive style. In KABOOM, heterogeneous agents imitate the diverse problem-solving styles described by the Kirton Adaption-Innovation construct, which places each individual somewhere along the spectrum of cognitive style preference. Using the model, we investigate the interacting effects of a team’s communication patterns, specialization, and cognitive style composition on design performance. By simulating cognitive style in the context of team problem solving, KABOOM lays the groundwork for the development of team simulations that reflect humans’ diverse problem-solving styles.

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Designing Improved Teams for Crowdsourced Competitions

Cited by 5 publications

References 16 publications

Idea Generation Mechanisms: Comparing the Influence of Classification, Combination, Building on Others, and Stimulation Mechanisms on Ideation Effectiveness

Idea Generation Mechanisms: Comparing the Influence of Classification, Combination, Building on Others, and Stimulation Mechanisms on Ideation Effectiveness

KABOOM: An Agent-Based Model for Simulating Cognitive Sale in Team Problem Solving

KABOOM: an agent-based model for simulating cognitive style in team problem solving

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