Navigating indoors without a map can be challenging, especially for visually impaired individuals in unfamiliar settings. Many existing indoor navigation methods rely on building maps, pre-deployed infrastructure (like BLE beacons or RFID), or visual-based systems that require a clear line of sight to a camera. These requirements can make…

Background: Implementation issues often hinder reaching the potential of care technology to improve daily lives of people with intellectual disabilities. We investigated barriers to and facilitators of implementing different technology modalities (app/social robot/sensor/domotics) in long-term care. Method: Care professionals (N = 83) from 12…

The application of machine learning (ML) has grown and is now used to enhance learning outcomes. In blended classroom settings, ML, emerging smartphones and wearable technologies are commonly used to improve teaching and learning. The combination of these advanced technologies and ML plays a crucial role in enhancing real-time feedback quality.…

The present study examined students' perception of using Artificial intelligence-powered text-to-speech apps (AI TTS Apps) to learn aspects of English language pronunciation. This investigation was conducted considering the extended Unified Theory of Acceptance and Use of Technology (UTAUT2). To ensure participants had prior experience using AI…

Speech-to-text applications have great potential for helping students with English language comprehension and pronunciation practice. This study explores the functionality of five speech-to-text (STT) applications (Google Docs voice typing tool, Apple Dictation, Windows 10 Dictation, Dictation.io [a website service], and "Transcribe" [an…