The influence of task complexity factors on decision-making performance.
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| Title: | The influence of task complexity factors on decision-making performance. |
|---|---|
| Alternate Title: | O impacto de fatores da complexidade da tarefa na performance na tomada de decisão. |
| Authors: | Schneider Bender, Carolina, Leodir Löbler, Mauri, dos Reis Lehnhart, Eliete |
| Source: | Brazilian Journal of Management / Revista de Administração da UFSM. Apr-Jun2025, Vol. 18 Issue 2, p1-37. 37p. |
| Subjects: | Knapsack problems, Phase transitions, Cognitive load, Computational complexity, Dependent variables |
| Abstract (English): | Objective: This study aims to understand the impact of complexity factors on human decision-making performance in an economic problem (Knapsack Problem), which is analogous to numerous situations individuals encounter daily related to the practices of administrators and managers. Methodology: The research employed an experimental design with 41 participants, varying the number of items and two metrics of computational complexity: "input size" and "instance correlation." Performance was assessed by measuring optimization performance, relative performance, response time (RT), and confidence. Results: The findings reveal a significant impact from manipulating the number of items, leading to a decrease in optimization performance and confidence, alongside an increase in RT. A phase transition was observed in relative performance, where participants managed increases from 5 to 6 items despite longer task completion times; however, this compensation was no longer feasible at 7 items. The input size measure was significantly associated with all dependent variables, explaining 51.84% of the variation in RT. Practical Implications: These results provide actionable insights for managers and professionals dealing with complex decision-making tasks, showing that even small increases in the number of elements can significantly raise cognitive load, impair performance, delay responses, and reduce confidence. To mitigate these effects, decision environments - particularly those involving human- algorithm interaction - should be designed to simplify task structure, present information incrementally, and adapt dynamically to problem complexity. [ABSTRACT FROM AUTHOR] |
| Abstract (Portuguese): | Objetivo: Este estudo tem como objetivo compreender o impacto de fatores da complexidade na performance na tomada de decisão humana em um problema econômico (Knapsack Problem), correlato de inúmeras situações enfrentadas diariamente pelos indivíduos relacionadas à prática de administradores e gestores. Metodologia: A pesquisa empregou um delineamento experimental com 41 participantes, variando o número de itens e duas métricas de complexidade computacional, "input size" e "instance correlation". Foi avaliada a performance por meio da mensuração do desempenho de otimização, desempenho relativo, RT e confiança. Resultados: Os resultados evidenciam um impacto robusto da manipulação do número de itens, resultando na redução do desempenho de otimização e confiança e aumento do RT. Encontrou-se uma transição de fase para o desempenho relativo, na qual os sujeitos suportaram aumentos de 5 para 6 itens em detrimento de realizar a tarefa em maior tempo, no entanto, para 7 itens tal compensação não foi mais possível. A medida input size associou-se significativamente com todas as variáveis dependentes, sendo capaz de explicar 51,84% da variação RT. Implicações práticas: Os resultados fornecem insights práticos para gestores e profissionais que lidam com tarefas complexas de tomada de decisão, mostrando que mesmo pequenos aumentos no número de elementos podem aumentar significativamente a carga cognitiva, prejudicar o desempenho, atrasar as respostas e reduzir a confiança. Para mitigar esses efeitos, os ambientes de decisão - especialmente aqueles que envolvem interação com máquinas e softwares - devem ser projetados para simplificar a estrutura das tarefas, apresentar as informações de forma incremental e se adaptar dinamicamente à complexidade do problema. [ABSTRACT FROM AUTHOR] |
| Copyright of Brazilian Journal of Management / Revista de Administração da UFSM is the property of Brazilian Journal of Management / Revista de Administracao da UFSM and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 186323829 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The influence of task complexity factors on decision-making performance. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: O impacto de fatores da complexidade da tarefa na performance na tomada de decisão. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Schneider+Bender%2C+Carolina%22">Schneider Bender, Carolina</searchLink><br /><searchLink fieldCode="AR" term="%22Leodir+Löbler%2C+Mauri%22">Leodir Löbler, Mauri</searchLink><br /><searchLink fieldCode="AR" term="%22dos+Reis+Lehnhart%2C+Eliete%22">dos Reis Lehnhart, Eliete</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Brazilian+Journal+of+Management+%2F+Revista+de+Administração+da+UFSM%22">Brazilian Journal of Management / Revista de Administração da UFSM</searchLink>. Apr-Jun2025, Vol. 18 Issue 2, p1-37. 37p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Knapsack+problems%22">Knapsack problems</searchLink><br /><searchLink fieldCode="DE" term="%22Phase+transitions%22">Phase transitions</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+load%22">Cognitive load</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Dependent+variables%22">Dependent variables</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: Objective: This study aims to understand the impact of complexity factors on human decision-making performance in an economic problem (Knapsack Problem), which is analogous to numerous situations individuals encounter daily related to the practices of administrators and managers. Methodology: The research employed an experimental design with 41 participants, varying the number of items and two metrics of computational complexity: "input size" and "instance correlation." Performance was assessed by measuring optimization performance, relative performance, response time (RT), and confidence. Results: The findings reveal a significant impact from manipulating the number of items, leading to a decrease in optimization performance and confidence, alongside an increase in RT. A phase transition was observed in relative performance, where participants managed increases from 5 to 6 items despite longer task completion times; however, this compensation was no longer feasible at 7 items. The input size measure was significantly associated with all dependent variables, explaining 51.84% of the variation in RT. Practical Implications: These results provide actionable insights for managers and professionals dealing with complex decision-making tasks, showing that even small increases in the number of elements can significantly raise cognitive load, impair performance, delay responses, and reduce confidence. To mitigate these effects, decision environments - particularly those involving human- algorithm interaction - should be designed to simplify task structure, present information incrementally, and adapt dynamically to problem complexity. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Portuguese) Group: Ab Data: Objetivo: Este estudo tem como objetivo compreender o impacto de fatores da complexidade na performance na tomada de decisão humana em um problema econômico (Knapsack Problem), correlato de inúmeras situações enfrentadas diariamente pelos indivíduos relacionadas à prática de administradores e gestores. Metodologia: A pesquisa empregou um delineamento experimental com 41 participantes, variando o número de itens e duas métricas de complexidade computacional, "input size" e "instance correlation". Foi avaliada a performance por meio da mensuração do desempenho de otimização, desempenho relativo, RT e confiança. Resultados: Os resultados evidenciam um impacto robusto da manipulação do número de itens, resultando na redução do desempenho de otimização e confiança e aumento do RT. Encontrou-se uma transição de fase para o desempenho relativo, na qual os sujeitos suportaram aumentos de 5 para 6 itens em detrimento de realizar a tarefa em maior tempo, no entanto, para 7 itens tal compensação não foi mais possível. A medida input size associou-se significativamente com todas as variáveis dependentes, sendo capaz de explicar 51,84% da variação RT. Implicações práticas: Os resultados fornecem insights práticos para gestores e profissionais que lidam com tarefas complexas de tomada de decisão, mostrando que mesmo pequenos aumentos no número de elementos podem aumentar significativamente a carga cognitiva, prejudicar o desempenho, atrasar as respostas e reduzir a confiança. Para mitigar esses efeitos, os ambientes de decisão - especialmente aqueles que envolvem interação com máquinas e softwares - devem ser projetados para simplificar a estrutura das tarefas, apresentar as informações de forma incremental e se adaptar dinamicamente à complexidade do problema. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Brazilian Journal of Management / Revista de Administração da UFSM is the property of Brazilian Journal of Management / Revista de Administracao da UFSM and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5902/1983465989667 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 37 StartPage: 1 Subjects: – SubjectFull: Knapsack problems Type: general – SubjectFull: Phase transitions Type: general – SubjectFull: Cognitive load Type: general – SubjectFull: Computational complexity Type: general – SubjectFull: Dependent variables Type: general Titles: – TitleFull: The influence of task complexity factors on decision-making performance. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Schneider Bender, Carolina – PersonEntity: Name: NameFull: Leodir Löbler, Mauri – PersonEntity: Name: NameFull: dos Reis Lehnhart, Eliete IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr-Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19834659 Numbering: – Type: volume Value: 18 – Type: issue Value: 2 Titles: – TitleFull: Brazilian Journal of Management / Revista de Administração da UFSM Type: main |
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