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  • Article
  • Open Access

Adaptive Realities: Human-in-the-Loop AI for Trustworthy XR Training in Safety-Critical Domains

  • Daniele Pretolesi,
  • Georg Regal,
  • Helmut Schrom-Feiertag and
  • Manfred Tscheligi

Extended Reality (XR) technologies have matured into powerful tools for training in high-stakes domains, from emergency response to search and rescue. Yet current systems often struggle to balance real-time AI-driven personalisation with the need for...

  • Article
  • Open Access
313 Views
24 Pages

APAR: A Structural Design and Guidance Framework for Gamification in Education Based on Motivation Theories

  • J. Carlos López-Ardao,
  • Miguel Rodríguez-Pérez,
  • Sergio Herrería-Alonso,
  • M. Estrella Sousa-Vieira,
  • Alfonso Lago Ferreiro,
  • Andrés Suárez-González and
  • Raúl F. Rodríguez-Rubio

Gamification is widely used to enhance student motivation, yet many educational design proposals remain conceptual and provide limited operational guidance for digital learning environments. This paper introduces APAR (Activities, Points, Achievement...

  • Systematic Review
  • Open Access
362 Views
26 Pages

Haptic feedback is important for narrative virtual reality (VR), yet authoring remains costly and difficult to scale due to device-specific tuning, placement constraints, and the need for semantically congruent timing. We systematically reviewed user...

  • Review
  • Open Access
246 Views
28 Pages

The accurate measurement of audience engagement in real-world live events remains a significant challenge, with the majority of existing research confined to controlled environments like classrooms. This paper presents a comprehensive survey of Compu...

  • Article
  • Open Access
150 Views
18 Pages

Wardrobe fronts form a major visual element in bedroom interiors, yet material selection for their colors and textures often relies on intuition rather than evidence. This study develops a data-driven framework that links gaze behavior and affective...

  • Article
  • Open Access
136 Views
17 Pages

Recent vision-language pre-training models, like CLIP, have been shown to generalize well across a variety of multitask modalities. Nonetheless, their generalization for downstream tasks is limited. As a lightweight adaptation approach, prompt learni...

  • Systematic Review
  • Open Access
1 Citations
1,418 Views
61 Pages

Background/Objectives: This systematic review examines neuroplasticity-informed approaches to learning under cognitive load, synthesizing evidence from functional imaging, brain stimulation, and educational technology research. As digital learning en...

  • Article
  • Open Access
597 Views
17 Pages

Neuroception of Psychological Safety and Attitude Towards General AI in uHealth Context

  • Anca-Livia Panfil,
  • Simona C. Tamasan,
  • Claudia C. Vasilian,
  • Raluca Horhat and
  • Diana Lungeanu

Interest in general AI is widespread, and much is expected from its large-scale adoption in the healthcare sector. However, the success of uHealth implementations relies on genuine trust, beyond technical performance. Neuroception of psychological sa...

  • Article
  • Open Access
324 Views
20 Pages

This study explores how mixed reality (MR) game environments, enabled by sensor-based motion tracking and interactive visualization technologies, can be effectively integrated into blended learning to promote sustainability education. Using eight Mac...

  • Article
  • Open Access
455 Views
11 Pages

This paper presents an AI-augmented pronunciation training approach for Russian language learners through a mobile application that supports an interactive learner–system feedback loop. The system combines a pre-trained Wav2Vec2Phoneme neural n...

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Multimodal Technol. Interact. - ISSN 2414-4088