Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification

Albadán, Javier; Gaona, Paulo; Montenegro, Carlos; Crespo, Rubén González; Herrera‐Viedma, Enrique

doi:10.15388/informatica.2018.155

Cited by 14 publications

(6 citation statements)

References 31 publications

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“…They also highlight in their conclusions the importance of the design phase of the GRA, clearly defining the constructs that one wants to evaluate. The contributions of Albadán et al (2016 , 2018) align with this issue. In 2016, they propose a video game to select senior management personnel.…”

Section: Resultsmentioning

confidence: 58%

“…Some research proposes strategies based on different analysis techniques. Thus, Albadán et al (2018) show how fuzzy logic can help classify the applicants when information referring to their behavior is collected in the game. Moreover, this approach is not alien to personnel selection, as its application has already been proposed during the recruitment phase (i.e., García-Izquierdo et al, 2020 ).…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Game-related assessments for personnel selection: A systematic review

Ramos-Villagrasa

Río²,

Castro³

2022

Front. Psychol.

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Industrial development in recent decades has led to using information and communication technologies (ICT) to support personnel selection processes. One of the most notable examples is game-related assessments (GRA), supposedly as accurate as conventional tests but which generate better applicant reactions and reduce the likelihood of adverse impact and faking. However, such claims still lack scientific support. Given practitioners’ increasing use of GRA, this article reviews the scientific literature on gamification applied to personnel selection to determine whether the current state of the art supports their use in professional practice and identify specific aspects on which future research should focus. Following the PRISMA model, a search was carried out in the Web of Science and Scopus databases, identifying 34 valid articles, of which 85.3% are empirical studies that analyze five areas: (1) validity; (2) applicant reactions; (3) design of GRA; (4) personal characteristics and GRA; and (5) adverse impact and faking. Together, these studies show that GRA can be used in personnel selection but that the supposed advantages of GRA over conventional tests are fewer than imagined. The results also suggest several aspects on which research should focus (e.g., construct validity, differences depending on the type of game, prediction of different job performance dimensions), which could help define the situations in which the use of GRA may be recommended.

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Section: Resultsmentioning

confidence: 58%

Section: Resultsmentioning

confidence: 99%

Game-related assessments for personnel selection: A systematic review

Ramos-Villagrasa

Río²,

Castro³

2022

Front. Psychol.

View full text Add to dashboard Cite

show abstract

“…In [34], they implemented a fuzzy logic model with gami cation features in a platform to pro le ve types of aspirants for personnel selection. This classi cation allows human resources to decide if the aspirant is adequate for the job opening.…”

Section: Fuzzy Logic System In Gami Cation Strategiesmentioning

confidence: 99%

“…In that sense, Zadeh [31][32][33] contextualized those decisions in an arti cial system by proposing the use of fuzzy sets to model the uncertainty regarding human decision through a set of If-Then rules. In [34], they implemented a fuzzy logic model with gami cation elements in a platform to pro le ve types of aspirants for personnel selection. Moreover, the authors of this manuscript proposed several papers regarding fuzzy logic in the context of social products and smart homes.…”

Section: Introductionmentioning

confidence: 99%

Empower saving energy into smart communities using social products with a gamification structure for tailored Human–Machine Interfaces within smart homes

Méndez

Ponce

Meier

et al. 2022

Int J Interact Des Manuf

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Residential buildings can contribute to save energy and to decrement electricity consumption in the world. On the other hand, the Internet of Things has allowed the implementation of smart homes that can pro le the users. Nevertheless, end-users are not accepting the smart homes due to behavioral problems and usability problems with the Human-Machine Interface (HMI) or with the household appliances. As a solution, social products promote the interaction between the smart home and the consumer by including gami cation features in the interface. Thus, smart homes can interact and compete with other houses to reduce energy consumption. Therefore, this paper proposes a three-step framework that takes advantage of social products to promote interaction between smart homes within a smart community to reduce electrical energy consumption. The rst step collects from the literature review, the characteristics of the end-users, the behavioral and usability problems, and the most common gami cation elements that teach, engage and motivate the user to reduce energy consumption. The second step proposes the gami cation elements required for a tailored HMI in each social product and smart home through a fuzzy logic decision. The third step evaluates the interaction between social products in smart homes and the users to test which smart home is reducing more energy consumption. Finally, a three-level tailored gami ed mock-up is depicted: level 1 for a single social product, level 2 for the smart home, and level three for the smart community. This mock-up can be implemented in small communities as residential complexes.

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“…In this regard, fuzzy logic has been used to model human reasoning through a set of If-Then rules to provide a better user experience (Mata et al, 2019). classified five types of energy end-users based on their personality traits using fuzzy logic (Albad an et al, 2018). implemented a fuzzy logic model with gamification elements in a platform to profile five types of aspirants for personnel selection (M endez et al, 2020a, 2019b).…”

Section: Introductionmentioning

confidence: 99%

Tailored gamification and serious game framework based on fuzzy logic for saving energy in connected thermostats

Ponce

Meier

Méndez

et al. 2020

Journal of Cleaner Production

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Connected thermostats (CTs) often save less energy than predicted because consumers may not know how to use them and may not be engaged in saving energy. Additionally, several models perform contrary to consumers' expectations and are thus not used the way they are intended to. As a result, CTs save less energy and are underused in households. This paper reviews aspects of gamification and serious games focused on engaging consumers. A gamification and serious games framework is proposed for saving energy that is tailored by a fuzzy logic system to motivate connected thermostat consumers. This intelligent gamification framework can be used to customize the gamification and serious game strategy to each consumer so that fuzzy logic systems can be adapted according to the requirements of each consumer. The framework is designed to teach, engage, and motivate consumers while helping them save electrical energy when using their thermostats. It is described the proposed framework as well as a mockup that can be run on a cellphone. Although this framework is designed to be implemented in CTs, it can be translated to their energy devices in smart homes.

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Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification

Cited by 14 publications

References 31 publications

Game-related assessments for personnel selection: A systematic review

Game-related assessments for personnel selection: A systematic review

Empower saving energy into smart communities using social products with a gamification structure for tailored Human–Machine Interfaces within smart homes

Tailored gamification and serious game framework based on fuzzy logic for saving energy in connected thermostats

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