Modeling the Effects of Personality on Team Formation in Self-assembly Teams

Farhangian, Mehdi; Purvis, Martin; Purvis, Maryam; Savarimuthu, Bastin Tony Roy

doi:10.1007/978-3-319-25524-8_36

Cited by 6 publications

(29 citation statements)

References 11 publications

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“…Personality. There are, to our knowledge, two works in the literature that consider agents' personality to compose teams, namely [7] and [9]. In [7], Belbin's theory is used to obtain human predominant roles (see Section 2.2).…”

Section: Relation With the Multiagent Systems Literaturementioning

confidence: 99%

“…However, gender balance is again not considered. Finally, although real data was considered in [9], the resulting teams' performance was not validated. Instead, Bayesian theory was used to predict the success probability in a variety of team composition conditions.…”

Section: Relation With the Multiagent Systems Literaturementioning

confidence: 99%

“…In reality, competencies are non-binary because individuals are characterized by different grades of competencies. Unfortunately, MAS research has typically ignored significant psychology findings (with the exception of recent, preliminary works such as [7] and [9]).…”

Section: Introductionmentioning

confidence: 99%

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Synergistic team composition: A computational approach to foster diversity in teams

Andrejczuk

Bistaffa

Blum

et al. 2019

Knowledge-Based Systems

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Co-operative learning in heterogeneous teams refers to learning methods in which teams are organised both to accomplish academic tasks and for individuals to gain knowledge. Competencies, personality and the gender of team members are key factors that influence team performance. Here, we introduce a team composition problem, the so-called synergistic team composition problem (STCP), which incorporates such key factors when arranging teams. Thus, the goal of the STCP is to partition a set of individuals into a set of synergistic teams: teams that are diverse in personality and gender and whose members cover all required competencies to complete a task. Furthermore, the STCP requires that all teams are balanced in that they are expected to exhibit similar performances when completing the task. We propose two efficient algorithms to solve the STCP. Our first algorithm is based on a linear programming formulation and is appropriate to solve small instances of the problem. Our second algorithm is an anytime heuristic that is effective for large instances of the STCP. Finally, we thoroughly study the computational properties of both algorithms in an educational context when grouping students in a classroom into teams using actual-world data.

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Section: Relation With the Multiagent Systems Literaturementioning

confidence: 99%

Section: Relation With the Multiagent Systems Literaturementioning

confidence: 99%

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Synergistic team composition: A computational approach to foster diversity in teams

Andrejczuk

Bistaffa

Blum

et al. 2019

Knowledge-Based Systems

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“…In a series of papers, Farhangian et al . (2015a, 2015b) use the MBTI scheme to model different agent personality types. Farhangian et al .…”

Section: Team Composition and Formation From A Computer Science Perspmentioning

confidence: 99%

“…In Farhangian et al . (2015b), the nature (structure) of a task is quantitatively characterized: from extremely structured to extremely open-ended. While structured tasks are straightforward and do not require planning, open-ended tasks require creativity and imagination from team members.…”

Section: Team Composition and Formation From A Computer Science Perspmentioning

confidence: 99%

The composition and formation of effective teams: computer science meets organizational psychology

Andrejczuk¹,

Berger

Rodŕıguez-Aguilar³

et al. 2018

The Knowledge Engineering Review

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Nowadays the composition and formation of effective teams is highly important for both companies to assure their competitiveness and for a wide range of emerging applications exploiting multiagent collaboration (e.g. crowdsourcing, human-agent collaborations). The aim of this article is to provide an integrative perspective on team composition, team formation and their relationship with team performance. Thus, we review the contributions in both the computer science literature and the organisational psychology literature dealing with these topics. Our purpose is twofold. First, we aim at identifying the strengths and weaknesses of the contributions made by these two diverse bodies of research. Second, we pursue to identify cross-fertilisation opportunities that help both disciplines benefit from one another. Given the volume of existing literature, our review is not intended to be exhaustive. Instead, we have preferred to focus on the most significant contributions in both fields together with recent contributions that break new ground to spur innovative research.1. Capacity: individual and social capabilities of agents; and 2. Personality: individual behaviour models.

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