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Informatics, Volume 10, Issue 3

September 2023 - 21 articles

Cover Story: The study evaluates the ability of the GAME2AWE exergame platform to assess seniors' motor and cognitive conditions using in-game performance and behavior data. For example, a senior's reaction time to game stimuli could indicate cognitive speed, while movement precision might reveal information about motor skills. The research focuses on creating machine learning models using in-game data to efficiently estimate the motor and cognitive states of the elderly. Although several machine learning techniques were employed, the Random Forest model surpassed others, achieving classification accuracies from 93.6% for cognitive screening to 95.6% for motor assessment. This could be a crucial tool for health professionals, allowing them to remotely identify individuals requiring assistance or intervention. View this paper
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Articles (21)

  • Article
  • Open Access
3 Citations
5,473 Views
38 Pages

Conceptualization and Survey Instrument Development for Website Usability

  • Nevcihan Toraman,
  • Aycan Pekpazar and
  • Cigdem Altin Gumussoy

20 September 2023

The aim of this study is to conceptualize website usability and develop a survey instrument to measure related concepts from the perspective of end users. We designed a three-stage methodology. First, concepts related to website usability were derive...

  • Article
  • Open Access
52 Citations
28,276 Views
22 Pages

Reinforcement Learning in Education: A Literature Review

  • Bisni Fahad Mon,
  • Asma Wasfi,
  • Mohammad Hayajneh,
  • Ahmad Slim and
  • Najah Abu Ali

18 September 2023

The utilization of reinforcement learning (RL) within the field of education holds the potential to bring about a significant shift in the way students approach and engage with learning and how teachers evaluate student progress. The use of RL in edu...

  • Article
  • Open Access
3 Citations
4,778 Views
24 Pages

Research Trends in the Use of Machine Learning Applied in Mobile Networks: A Bibliometric Approach and Research Agenda

  • Vanessa García-Pineda,
  • Alejandro Valencia-Arias,
  • Juan Camilo Patiño-Vanegas,
  • Juan José Flores Cueto,
  • Diana Arango-Botero,
  • Angel Marcelo Rojas Coronel and
  • Paula Andrea Rodríguez-Correa

This article aims to examine the research trends in the development of mobile networks from machine learning. The methodological approach starts from an analysis of 260 academic documents selected from the Scopus and Web of Science databases and is b...

  • Article
  • Open Access
3 Citations
2,520 Views
20 Pages

CNN models can have millions of parameters, which makes them unattractive for some applications that require fast inference times or small memory footprints. To overcome this problem, one alternative is to identify and remove weights that have a smal...

  • Review
  • Open Access
5 Citations
8,356 Views
24 Pages

A Comprehensive Analysis of the Worst Cybersecurity Vulnerabilities in Latin America

  • Omar Flor-Unda,
  • Freddy Simbaña,
  • Xavier Larriva-Novo,
  • Ángel Acuña,
  • Rolando Tipán and
  • Patricia Acosta-Vargas

Vulnerabilities in cyber defense in the countries of the Latin American region have favored the activities of cybercriminals from different parts of the world who have carried out a growing number of cyberattacks that affect public and private servic...

  • Essay
  • Open Access
2,410 Views
14 Pages

The digital humanities and social sciences are critical for addressing societal challenges such as climate change and disaster risk reduction. One way in which the digital humanities and social sciences add value, particularly in an increasingly digi...

  • Article
  • Open Access
11 Citations
6,050 Views
26 Pages

Theoretical Models for Acceptance of Human Implantable Technologies: A Narrative Review

  • Beenish Moalla Chaudhry,
  • Shekufeh Shafeie and
  • Mona Mohamed

Theoretical models play a vital role in understanding the barriers and facilitators for the acceptance or rejection of emerging technologies. We conducted a narrative review of theoretical models predicting acceptance and adoption of human enhancemen...

  • Article
  • Open Access
8 Citations
7,696 Views
24 Pages

A Machine Learning Python-Based Search Engine Optimization Audit Software

  • Konstantinos I. Roumeliotis and
  • Nikolaos D. Tselikas

In the present-day digital landscape, websites have increasingly relied on digital marketing practices, notably search engine optimization (SEO), as a vital component in promoting sustainable growth. The traffic a website receives directly determines...

  • Article
  • Open Access
5 Citations
5,618 Views
31 Pages

A Proposed Artificial Intelligence Model for Android-Malware Detection

  • Fatma Taher,
  • Omar Al Fandi,
  • Mousa Al Kfairy,
  • Hussam Al Hamadi and
  • Saed Alrabaee

There are a variety of reasons why smartphones have grown so pervasive in our daily lives. While their benefits are undeniable, Android users must be vigilant against malicious apps. The goal of this study was to develop a broad framework for detecti...

  • Article
  • Open Access
3 Citations
2,583 Views
18 Pages

Analysis of Factors Associated with Highway Personal Car and Truck Run-Off-Road Crashes: Decision Tree and Mixed Logit Model with Heterogeneity in Means and Variances Approaches

  • Thanapong Champahom,
  • Panuwat Wisutwattanasak,
  • Chamroeun Se,
  • Chinnakrit Banyong,
  • Sajjakaj Jomnonkwao and
  • Vatanavongs Ratanavaraha

Among several approaches to analyzing crash research, the use of machine learning and econometric analysis has found potential in the analysis. This study aims to empirically examine factors influencing the single-vehicle crash for personal cars and...

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Informatics - ISSN 2227-9709