Evidence map›Paper›PMID 34300549›Full record

SynthesisSensors (Basel, Switzerland)2021

Business Simulation Games Analysis Supported by Human-Computer Interfaces: A Systematic Review.

Cleiton Pons Ferreira, Carina Soledad González-González, Diana Francisca Adamatti

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Cleiton Pons FerreiraResearch and Innovation Department, Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul, Rio Grande 96201-460, Brazil.ORCID 0000-0003-3589-5345
Carina Soledad González-GonzálezComputer Engineering and Systems Department, Universidad de La Laguna, Avda. Astrofísico F. Sanchez s/n, 38204 La Laguna, Tenerife, Spain.ORCID 0000-0001-5939-9544
Diana Francisca AdamattiCentro de Ciências Computacionais, Universidade Federal do Rio Grande, Av. Itália, s/n, km 8-Carreiros, Rio Grande 96203-900, Brazil.ORCID 0000-0003-3829-3075

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article performs a Systematic Review of studies to answer the question: What are the researches related to the learning process with (Serious) Business Games using data collection techniques with Electroencephalogram or Eye tracking signals? The PRISMA declaration method was used to guide the search and inclusion of works related to the elaboration of this study. The 19 references resulting from the critical evaluation initially point to a gap in investigations into using these devices to monitor serious games for learning in organizational environments. An approximation with equivalent sensing studies in serious games for the contribution of skills and competencies indicates that continuous monitoring measures, such as mental state and eye fixation, proved to identify the players' attention levels effectively. Also, these studies showed effectiveness in the flow at different moments of the task, motivating and justifying the replication of these studies as a source of insights for the optimized design of business learning tools. This study is the first systematic review and consolidates the existing literature on user experience analysis of business simulation games supported by human-computer interfaces.

Indexed as

Video GamesComputersHumansPsychotherapyUser-Computer Interfacebusiness simulation gameEEGeye trackinglearningneuroscienceserious game

Identifiers

PMID34300549
PMCPMC8309693

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.