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Informatics, Volume 12, Issue 3

September 2025 - 44 articles

Cover Story: In a world where artificial intelligence (AI) is becoming increasingly common, it is essential to understand how people accept and trust these systems. This systematic review identifies and analyses the quantitative methods used to measure trust in AI. Following the PRISMA guidelines, we reviewed 1283 articles from three databases, ultimately selecting 45 empirical studies published before December 2023. Through the lenses of cognitive and affective trust, we analysed trust definitions and measurements, types of AI systems, and related variables. We found that definitions and measurements of trust vary considerably. Still, studies show consistency in their elements (theoretical focus, experimental design, and the level of human-like characteristics of AI) in emphasising more the cognitive or affective side of trust. View this paper
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Articles (44)

  • Article
  • Open Access
2,219 Views
29 Pages

22 September 2025

Cyberattacks, especially Advanced Persistent Threats (APTs), have become more complex. These evolving threats challenge traditional defense systems, which struggle to counter long-lasting and covert attacks. Cybersecurity Knowledge Graphs (CKGs), ena...

  • Article
  • Open Access
2,471 Views
31 Pages

Talking Tech, Teaching with Tech: How Primary Teachers Implement Digital Technologies in Practice

  • Lyubka Aleksieva,
  • Veronica Racheva and
  • Roumiana Peytcheva-Forsyth

22 September 2025

This paper explores how primary school teachers integrate digital technologies into their classroom practice, with a particular focus on the extent to which their stated intentions align with what actually takes place during lessons. Drawing on data...

  • Systematic Review
  • Open Access
6,207 Views
42 Pages

16 September 2025

Governments increasingly integrate artificial intelligence (AI) into digital public services, and understanding how citizens perceive and respond to these technologies has become essential. This systematic review analyzes 30 empirical studies publish...

  • Article
  • Open Access
1,851 Views
15 Pages

The Impact of the 2023 Wikipedia Redesign on User Experience

  • Tyler Wilson,
  • Prajjwal Gandharv and
  • Karl Vachuska

16 September 2025

In January 2023, Wikipedia introduced its most significant user interface (UI) redesign in over a decade, aiming to improve readability, accessibility, and navigation across devices. Despite the scale of this change, little empirical work has assesse...

  • Article
  • Open Access
4,011 Views
22 Pages

15 September 2025

This study explores the digital organization of cultural heritage knowledge across national GLAM institutions (galleries, libraries, archives, and museums) in the ten ASEAN countries. By employing a qualitative content analysis approach, this researc...

  • Article
  • Open Access
2,184 Views
22 Pages

Deep Learning-Based Forecasting of Boarding Patient Counts to Address Emergency Department Overcrowding

  • Orhun Vural,
  • Bunyamin Ozaydin,
  • James Booth,
  • Brittany F. Lindsey and
  • Abdulaziz Ahmed

15 September 2025

Emergency department (ED) overcrowding remains a major challenge for hospitals, resulting in worse outcomes, longer waits, elevated hospital operating costs, and greater strain on staff. Boarding count, the number of patients who have been admitted t...

  • Article
  • Open Access
3,484 Views
38 Pages

15 September 2025

Autonomous vehicles (AVs) are increasingly becoming a reality, enabled by advances in sensing technologies, intelligent control systems, and real-time data processing. For AVs to operate safely and effectively, they must maintain a reliable perceptio...

  • Article
  • Open Access
1,512 Views
26 Pages

12 September 2025

Traditional spam detection methodologies often neglect user privacy preservation, potentially incurring data leakage risks. Furthermore, current federated learning models for spam detection face several critical challenges: (1) data heterogeneity and...

  • Article
  • Open Access
819 Views
32 Pages

11 September 2025

This study introduces a novel informatics framework for assessing regional sustainability by integrating Twin Mean-Variance Two-Stage Data Envelopment Analysis (TMV-TSDEA) with a desirability-based decision analytics system. The model evaluates both...

  • Article
  • Open Access
2,620 Views
15 Pages

Research indicates that perceived trust affects both behavioral intention to use chatbots and service satisfaction provided by chatbots in customer service contexts. However, it remains unclear whether perceived propensity to trust impacts service sa...

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Informatics - ISSN 2227-9709