FASTT: Team Formation Using Fair Division

Bulmer, Jeff; Fritter, Matthew; Gao, Yong; Hui, Bowen

doi:10.1007/978-3-030-47358-7_9

Cited by 4 publications

(9 citation statements)

References 15 publications

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“…Traxler solved this problem based on the principles of responsibility and fair allocation. Bulmer et al (2020) [3] considered the problem of student allocation projects, assigning several students to a project, ensuring that all the requirements of the project are met and taking into account the social relationship between students. Payan (2022) [4] applied fair allocation technology to the allocation of reviewers.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Fair Allocation of Chores

Guo,

Li,

Deng

2023

Mathematics

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Wherever there is group life, there has been a social division of labor and resource allocation, since ancient times. Examples include ant colonies, bee colonies, and wolf colonies. Different roles are responsible for different tasks. The same is true of human beings. Human beings are the largest social group in nature, among whom there are intricate social networks and interest networks between individuals. In such a complex relationship, how do decision makers allocate resources or tasks to individuals in a fair way? This is a topic worthy of further study. In recent decades, fair allocation has been at the core of research in economics, mathematics and other fields. The fair allocation problem is to assign a set of items to a set of agents so that each agent’s allocation is as fair as possible to satisfy each agent. The fairness measurements followed in current research include envy-freeness, proportionality, equitability, maximin share fairness, competitive equilibrium, maximum Nash social diswelfare, and so on. In this paper, the main concern is the allocation of chores. We discuss this problem in two parts: divisible and indivisible. We comprehensively review the existing results, algorithms, and approximations that meet various fairness criteria in chronological order. The relevant results of achieving fairness and efficiency are also discussed. In addition, we propose some open questions and future research directions for this problem based on existing research.

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Section: Introductionmentioning

confidence: 99%

A Survey on Fair Allocation of Chores

Guo,

Li,

Deng

2023

Mathematics

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“…, 2022; Bulmer et al. , 2020; Bulmer, 2021). We also identified design guidelines for building general-purpose team formation software (Hui, 2022).…”

Section: Introductionmentioning

confidence: 98%

“…The variety of characteristics that have been considered includes (at least) the team member's personality traits, attitudes, goals, skills, social preferences and time availability (Alfonseca et al, 2006;Vijayalakshmi et al, 2018;Hastings et al, 2018;Alberola et al, 2016). Where projects exist, team member skills are matched against project requirements to guarantee some level of success (Bulmer et al, 2020). While these are common team composition parameters discussed in the literature, there is no consensus as to how a team should ideally be formed due to the conflicting empirical results that have been reported (Takai and Esterman, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…In previous work, we built team formation and analytics software and evaluated it in various settings including benchmarking simulations and preliminary classroom feasibility studies (Hui et al, 2022;Bulmer et al, 2020;Bulmer, 2021). We also identified design guidelines for building general-purpose team formation software (Hui, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…, 2016). Where projects exist, team member skills are matched against project requirements to guarantee some level of success (Bulmer et al. , 2020).…”

Section: Introductionmentioning

confidence: 99%

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Design guidelines and research directions for team analytics

Hui

2022

IJILT

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PurposeThe purpose of this work is to illustrate the processes involved in managing teams in order to assist designers and developers to build software that support teamwork. A deeper investigation into the role of team analytics is discussed in this article.Design/methodology/approachMany researchers over the past several decades studied the success factors of a team. Despite many efforts, there is still no consensus on how a team should ideally be formed. Consequently, how one decides to form teams in a class depends on the domain, classroom context and pedagogical objectives. Therefore, software used to support an instructor in forming teams must be flexible enough to accommodate a variety of use cases and support the users throughout the lifecycle of teamwork. In this work, the author proposes a framework for designing general-purpose team management software. The author reviews existing team formation software and focuses specifically on opportunities for advancing research in team analytics.FindingsIn this context, the author identifies four areas of research opportunities for team analytics.Originality/valueLastly, the author proposes a series of research questions (RQs) and discusses the pedagogical, design, technical and social challenges involved.

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