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Informatics, Volume 11, Issue 3

2024 September - 28 articles

Cover Story: The use of generative artificial intelligence (GAI) in customer service is increasing, but its language choices compared to those of humans remain underexplored from a linguistic perspective. This study analyzes negative online guest complaints to four luxury heritage hotels in Hong Kong. We collected authentic complaints and hotel managers' responses from travel forums between April 2012 and October 2022 and then had GAI draft response letters for the managers. Our dataset comprised three subcorpora: guest complaints, manager responses, and AI-generated replies. The results suggest that AI-generated texts can provide tailored and empathetic responses, but hotel managers may need to make some adjustments. View this paper
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Articles (28)

  • Article
  • Open Access
5 Citations
5,161 Views
20 Pages

20 September 2024

Dengue, Zika, and chikungunya viruses pose a serious threat globally and circulate widely in America. These diseases share similar symptoms in their early stages, which can make early diagnosis difficult. In this study, two predictive models based on...

  • Article
  • Open Access
6 Citations
7,800 Views
37 Pages

13 September 2024

Precision medicine has emerged as a transformative approach aimed at tailoring treatment to individual patients, moving away from the traditional one-size-fits-all model. However, Clinical decision support systems encounter challenges, particularly i...

  • Article
  • Open Access
2 Citations
2,838 Views
20 Pages

Pruning Policy for Image Classification Problems Based on Deep Learning

  • Cesar G. Pachon,
  • Javier O. Pinzon-Arenas and
  • Dora Ballesteros

12 September 2024

In recent years, several methods have emerged for compressing image classification models using CNNs, for example, by applying pruning to the convolutional layers of the network. Typically, each pruning method uses a type of pruning distribution that...

  • Article
  • Open Access
5 Citations
4,111 Views
23 Pages

Since November 2022, the use of generative artificial intelligence (GAI) technology has increased in many customer service industries. However, little is known about AI’s language choices and meaning-making resources compared to human responses...

  • Article
  • Open Access
1 Citations
5,687 Views
10 Pages

Adopting Business Intelligence Techniques in Healthcare Practice

  • Hui-Chuan Huang,
  • Hui-Kuan Wang,
  • Hwei-Ling Chen,
  • Jeng Wei,
  • Wei-Hsian Yin and
  • Kuan-Chia Lin

With the rapid development of information technology, digital health technologies have become increasingly prevalent in the field of healthcare. In this study, business intelligence (BI) techniques were combined with research-based prediction models...

  • Review
  • Open Access
23 Citations
14,088 Views
28 Pages

Navigating Governmental Choices: A Comprehensive Review of Artificial Intelligence’s Impact on Decision-Making

  • Gustavo Caiza,
  • Verónica Sanguña,
  • Natalia Tusa,
  • Violeta Masaquiza,
  • Alexandra Ortiz and
  • Marcelo V. Garcia

The integration of artificial intelligence (AI) into government decision-making is rapidly gaining traction in public administration and politics. This scoping review, guided by PRISMA protocols, examines 50 articles from reputable sources like Scopu...

  • Article
  • Open Access
3 Citations
10,984 Views
16 Pages

Health Benefits and Adverse Effects of Kratom: A Social Media Text-Mining Approach

  • Abdullah Wahbeh,
  • Mohammad Al-Ramahi,
  • Omar El-Gayar,
  • Tareq Nasralah and
  • Ahmed Elnoshokaty

Background: Kratom is a substance that alters one’s mental state and is used for pain relief, mood enhancement, and opioid withdrawal, despite potential health risks. In this study, we aim to analyze the social media discourse about kratom to p...

  • Review
  • Open Access
57 Citations
25,807 Views
27 Pages

Artificial Intelligence and Machine Learning Technologies for Personalized Nutrition: A Review

  • Dimitris Tsolakidis,
  • Lazaros P. Gymnopoulos and
  • Kosmas Dimitropoulos

Modern lifestyle trends, such as sedentary behaviour and unhealthy diets, have been associated with obesity, a major health challenge increasing the risk of multiple pathologies. This has prompted many to reassess their routines and seek expert guida...

  • Article
  • Open Access
2 Citations
3,973 Views
27 Pages

TEADASH: Implementing and Evaluating a Teacher-Facing Dashboard Using Design Science Research

  • Ngoc Buu Cat Nguyen,
  • Marcus Lithander,
  • Christian Master Östlund,
  • Thashmee Karunaratne and
  • William Jobe

The benefits of teacher-facing dashboards are incontestable, yet their evidence is finite in terms of long-term use, meaningful usability, and maturity level. Thus, this paper uses design science research and critical theory to design and develop TEA...

  • Systematic Review
  • Open Access
3 Citations
8,999 Views
20 Pages

Knowledge Management for Improved Digital Transformation in Insurance Companies: Systematic Review and Perspectives

  • Younes Elgargouh,
  • Mohammed Reda Chbihi Louhdi,
  • El Moukhtar Zemmouri and
  • Hicham Behja

Knowledge Management (KM) plays a pivotal role in contemporary businesses, facilitating the identification, management, and utilization of existing knowledge for organizational benefit. This article underscores the indispensability of effective KM pr...

  • Article
  • Open Access
2 Citations
4,323 Views
26 Pages

AI-Based Visual Early Warning System

  • Zeena Al-Tekreeti,
  • Jeronimo Moreno-Cuesta,
  • Maria Isabel Madrigal Garcia and
  • Marcos A. Rodrigues

Facial expressions are a universally recognised means of conveying internal emotional states across diverse human cultural and ethnic groups. Recent advances in understanding people’s emotions expressed through verbal and non-verbal communicati...

  • Systematic Review
  • Open Access
208 Citations
109,076 Views
29 Pages

Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective

  • Mousa Al-kfairy,
  • Dheya Mustafa,
  • Nir Kshetri,
  • Mazen Insiew and
  • Omar Alfandi

This paper conducts a systematic review and interdisciplinary analysis of the ethical challenges of generative AI technologies (N = 37), highlighting significant concerns such as privacy, data protection, copyright infringement, misinformation, biase...

  • Review
  • Open Access
224 Citations
46,180 Views
23 Pages

The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension. These models exhibit the remarkable ability to provide proficient responses to free-text queries, demonstrating a nuanced unders...

  • Article
  • Open Access
10 Citations
19,588 Views
14 Pages

Digital innovations have significantly transformed the marketing landscape, with visual technology solutions having become mainstream in the fashion industry approximately a decade ago. Digital technology offers a range of benefits to online fashion...

  • Article
  • Open Access
12 Citations
9,675 Views
17 Pages

Internet Use for Health-Related Purposes among Older People in Thailand: An Analysis of Nationwide Cross-Sectional Data

  • Kittisak Robru,
  • Prasongchai Setthasuravich,
  • Aphisit Pukdeewut and
  • Suthiwat Wetchakama

As the global population ages, understanding the digital health behaviors of older adults becomes increasingly crucial. In Thailand, where the elderly population is rapidly growing, examining how older individuals use the internet for health-related...

  • Article
  • Open Access
21 Citations
8,037 Views
13 Pages

With the increasing use of large-scale language model-based AI tools in modern learning environments, it is important to understand students’ motivations, experiences, and contextual influences. These tools offer new support dimensions for lear...

  • Article
  • Open Access
14 Citations
8,809 Views
26 Pages

A Comparative Analysis of Virtual Education Technology, E-Learning Systems Research Advances, and Digital Divide in the Global South

  • Ikpe Justice Akpan,
  • Onyebuchi Felix Offodile,
  • Aloysius Chris Akpanobong and
  • Yawo Mamoua Kobara

This pioneering study evaluates the digital divide and advances in virtual education (VE) and e-learning research in the Global South Countries (GSCs). Using metadata from bibliographic and World Bank data on research and development (R&D), we co...

  • Article
  • Open Access
3 Citations
3,384 Views
18 Pages

Effective monitoring of perishable food products has become increasingly important for ensuring quality, enabling smart packaging to be a key consideration for food companies. Among the promising technologies available for transforming packaging into...

  • Article
  • Open Access
4 Citations
3,523 Views
14 Pages

Non-Invasive Diagnostic Approach for Diabetes Using Pulse Wave Analysis and Deep Learning

  • Hiruni Gunathilaka,
  • Rumesh Rajapaksha,
  • Thosini Kumarika,
  • Dinusha Perera,
  • Uditha Herath,
  • Charith Jayathilaka,
  • Janitha Liyanage and
  • Sudath Kalingamudali

The surging prevalence of diabetes globally necessitates advancements in non-invasive diagnostics, particularly for the early detection of cardiovascular anomalies associated with the condition. This study explores the efficacy of Pulse Wave Analysis...

  • Article
  • Open Access
6 Citations
4,674 Views
15 Pages

Machine Learning to Estimate Workload and Balance Resources with Live Migration and VM Placement

  • Taufik Hidayat,
  • Kalamullah Ramli,
  • Nadia Thereza,
  • Amarudin Daulay,
  • Rushendra Rushendra and
  • Rahutomo Mahardiko

Currently, utilizing virtualization technology in data centers often imposes an increasing burden on the host machine (HM), leading to a decline in VM performance. To address this issue, live virtual migration (LVM) is employed to alleviate the load...

  • Article
  • Open Access
7 Citations
6,347 Views
18 Pages

AI language models are increasingly transforming language research in various ways. How can language educators and researchers respond to the challenge posed by these AI models? Specifically, how can we embrace this technology to inform and enhance s...

  • Review
  • Open Access
3 Citations
4,026 Views
23 Pages

Machine Learning Applied to the Analysis of Prolonged COVID Symptoms: An Analytical Review

  • Paola Patricia Ariza-Colpas,
  • Marlon Alberto Piñeres-Melo,
  • Miguel Alberto Urina-Triana,
  • Ernesto Barceló-Martinez,
  • Camilo Barceló-Castellanos and
  • Fabian Roman

The COVID-19 pandemic continues to constitute a public health emergency of international importance, although the state of emergency declaration has indeed been terminated worldwide, many people continue to be infected and present different symptoms...

  • Systematic Review
  • Open Access
54 Citations
22,644 Views
24 Pages

In recent years, the Internet of medical things (IoMT) has become a significant technological advancement in the healthcare sector. This systematic review aims to identify and summarize the various applications, key challenges, and proposed technical...

  • Article
  • Open Access
19 Citations
7,200 Views
17 Pages

Predicting student outcomes is an essential task and a central challenge among artificial intelligence-based personalised learning applications. Despite several studies exploring student performance prediction, there is a notable lack of comprehensiv...

  • Article
  • Open Access
5 Citations
3,455 Views
22 Pages

ChatGPT, a Large Language Model (LLM) utilizing Natural Language Processing (NLP), has caused concerns about its impact on job sectors, including cybersecurity. This study assesses ChatGPT’s impacts in non-managerial cybersecurity roles using t...

  • Article
  • Open Access
5 Citations
3,302 Views
14 Pages

Health information systems (HISs) are essential information systems used by organisations and individuals for various purposes. Past research has studied different types of HIS, such as rostering systems, Electronic Medical Records (EMRs), and Person...

  • Article
  • Open Access
2,370 Views
11 Pages

This study examined the awareness of the EMR certification system among employees of public and private hospitals that have obtained EMR certification. It also assessed how this awareness impacted the evaluation of EMR interoperability. The objective...

  • Article
  • Open Access
3,345 Views
18 Pages

The Mappability of Clinical Real-World Data of Patients with Melanoma to Oncological Fast Healthcare Interoperability Resources (FHIR) Profiles: A Single-Center Interoperability Study

  • Jessica Swoboda,
  • Moritz Albert,
  • Catharina Lena Beckmann,
  • Georg Christian Lodde,
  • Elisabeth Livingstone,
  • Felix Nensa,
  • Dirk Schadendorf and
  • Britta Böckmann

(1) Background: Tumor-specific standardized data are essential for AI-based progress in research, e.g., for predicting adverse events in patients with melanoma. Although there are oncological Fast Healthcare Interoperability Resources (FHIR) profiles...

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Informatics - ISSN 2227-9709