2025년 1분기 교육 및 평가에서의 시선추적 인사이트

Despite efforts of governments and practitioners in formulating and implementing safety regulations and measures, it remains challenging for construction workers to entirely detect and avoid construction hazards, resulting in frequent incidents and causing severe injuries and substantial property losses. Previous studies focused on analyzing the impacts of external factors and individual factors on construction workers’ hazard recognition, while the impacts of safety capacity and personalized safety training were less studied. To fill in the research gap...자세히 보기

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The advent of large language models has transformed human-robot interaction by enabling robots to execute tasks via natural language commands. However, these models primarily depend on unimodal data, which limits their ability to integrate diverse and essential environmental, physiological, and physical data. To address the limitations of current unimodal dataset problems, this paper investigates the novel and comprehensive multimodal data collection methodologies which can fully capture the complexity of human interaction in the complex real-world kitch...자세히 보기

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BACKGROUND

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Classification of construction resource states, using sensor data analytics, has implications for improving informed decision-making for safety and productivity. However, training on sensor data analytics in construction education faces challenges owing to the complexity of analytical processes and the large stream of raw data involved. This research presents the development and user evaluation of ActionSens, a block-based end-user programming platform, for training students from construction-related disciplines to classify resources using sensor data an...자세히 보기

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• Tobii Pro Lab

The accuracy of radiological diagnostics is crucial for providing effective medical treatment, ensuring that patients receive timely and appropriate care. Despite the efforts of numerous medical studies to identify radiological errors, this has a negligible effect, and the percentage of annual errors does not decrease. To a large extent, this is explained by the constancy of human perceptual abilities. This study investigates the idea of analyzing longitudinal gaze paths of radiologists and finding consistent patterns associated with diagnostic errors. T...자세히 보기

Peripheral intravenous cannulation (PIVC) is a common and complex procedure with low first-attempt success rates, causing patient suffering and increased healthcare costs. Quiet Eye (QE) training, a gaze-focused approach, has shown promise in improving procedural PIVC skills. We will examine the effectiveness of traditional technical training (TT) and QE training (QET) on student nurse PIVC performance.

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Recognizing human behavior is essential for early interventions in cognitive rehabilitation, particularly for older adults. Traditional methods often focus on improving third-person vision but overlook the importance of human visual attention during object interactions. This study introduces an egocentric behavior analysis (EBA) framework that uses transfer learning to analyze object relationships. Egocentric vision is used to extract features from hand movements, object detection, and visual attention. These features are then used to validate hand-objec...자세히 보기

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The segmentation of medical images is an important step in various diagnostic applications, including abnormality detection and radiotherapy planning. Recent developments in Artificial Intelligence (AI) have significantly advanced the field of segmentation automation. However, expert-level accuracy has not been achieved for most segmentation tasks, which significantly hampers the adoption of fully-automated medical image segmentation. This paper investigates the idea of efficient correction of medical image segmentation by using not manual controller com...자세히 보기

Objectives An interdisciplinary research team began developing a new simulation-based medical education (SBME) method called drama and simulation-based medical education (DSBME) with HiFi manikins in Advanced Life Support (ALS) classes with fifth-year medical students. Methods This study involved 80 fifth-year medical students who participated in 20 true experiments ALS simulations, employing both SBME and DSBME approaches in equal measure. Participants' personalities were evaluated using the Big Five Inventory (BFI), and their workloads were measured th...자세히 보기

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Alignment between human knowledge and machine learning models is crucial for achieving efficient and interpretable AI systems. However, conventional self-supervised pre-training methods often suffer from low efficiency, as they do not incorporate human knowledge during the pre-training process and instead rely mainly on post-hoc alignment techniques. We propose Gaze Pre-Training (GzPT), a novel approach that introduces early alignment with human eye gaze information during the pre-training process to enhance both the learning efficiency and performance o...자세히 보기

• Tobii Pro Nano

Human cognition is reflected in gaze behavior, which involves eye movements to fixate or shift focus between areas. In natural interactions, gaze behavior serves two functions: signal transmission and information gathering. While expert gaze as a tool for gathering information has been studied, its underlying cognitive processes remain insufficiently explored. This study investigated differences in gaze behavior and cognition between expert physicians and novice medical students during a simulated medical interview with a simulated patient, drawing impli...자세히 보기

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