Eye Tracking in Ausbildung und Bewertung Q1 2025

Die Eye Tracking-Technologie hat die Forschung im Bereich Training und Bewertung erheblich vorangebracht, wie jüngste Studien zeigen. In der kognitiven Rehabilitation nutzt die egozentrische Verhaltensanalyse das Eye Tracking, um personalisierte Interventionen zu verbessern. Die Unterschiede im Blickverhalten zwischen erfahrenen Ärzten und unerfahrenen Studenten geben Einblicke in die medizinische Ausbildung und zeigen das Potenzial für eine bessere Patientenversorgung durch gezieltes Training auf.

Impacts of Safety Capacity and Personalized Safety Training on Construction Workers’ Hazard Recognition Using Eye-Tracking Technology

März 29, 2025Longhui Liao, Cuiping Gan, Jingjing Yang & Yifei Liang

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...

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Enhancing robotic skill acquisition with multimodal sensory data: A novel dataset for kitchen tasks

März 22, 2025Ruochen Ren, Zhipeng Wang, Chaoyun Yang, Jiahang Liu, Rong Jiang, Yanmin Zhou, Shuo Jiang & Bin He

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...

Effects of a training system that tracks the operator’s gaze pattern during endoscopic submucosal dissection on hemostasis

März 17, 2025Takao Tonishi, Fumiaki Ishibashi, Kosuke Okusa, Kentaro Mochida & Sho Suzuki

BACKGROUND

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Design and Usability Evaluation of an End User Programming Environment for Equipping Construction Students with Sensor Data Analytics Skills

März 8, 2025Mohammad Khalid, Abiola Akanmu, Adedeji Afolabi, Homero Murzi, Ibukun Awolusi & Philip Agee

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...

Prediction of\xa0Radiological Diagnostic Errors from Eye Tracking Data Using Graph Neural Networks and\xa0Gaze-Guided Transformers

März 5, 2025Anna Anikina, Reza Karimzadeh, Diliara Ibragimova, Tamerlan Mustafaev, Claudia Mello-Thoms & Bulat Ibragimov

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...

A randomized control trial to compare Quiet Eye training efficacy to traditional technical training with undergraduate student nurses peripheral intravenous cannulation performance: a protocol

Januar 24, 2025Shannon I. A. Parker, Jessica Wilkins, Shahzad Inayat, Noah Hollingsworth, Joe Causer, Shane Virani & Jeff K. Caird

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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Egocentric Behavior Analysis Based on Object Relationship Extraction with Graph Transfer Learning for Cognitive Rehabilitation Support

Januar 21, 2025Adnan Rachmat Anom Besari, Fernando Ardilla, Azhar Aulia Saputra, Kurnianingsih, Takenori Obo, Naoyuki Kubota, Kurnianingsih & Kurnianingsih

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...

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Gaze Assistance For Efficient Segmentation Correction Of Medical Images

Januar 17, 2025Leila Khaertdinova, Tatyana Shmykova, Ilya Pershin, Andrey Laryukov, Albert Khanov, Damir Zidikhanov & Bulat IbragimovLecture Notes in Information Systems and Organisation Technology Driven Transformation

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...

Assessing the educational impact of drama and simulation-based medical education

Januar 17, 2025Márk Ágoston Pulay, Ágnes Blaskó, Gábor Fritúz, Bálint Szabó, Dalma Geszten, Mária Babicsné Horváth, Réka Kapui & János Gál

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...

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Improving Self-Supervised Medical Image Pre-Training by Early Alignment with Human Eye Gaze Information

Januar 14, 2025Sheng Wang, Zihao Zhao, Zhenrong Shen, Bin Wang, Qian Wang & Dinggang Shen

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...

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Why the gaze behavior of expert physicians and novice medical students differ during a simulated medical interview: A mixed methods study

Januar 3, 2025Rie Yamada, Kuangzhe Xu, Satoshi Kondo & Makoto FujimotoSoftware and Systems Modeling

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...

Mehr aus Training and skills assessment

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Die menschliche Aufmerksamkeit im Flugbetrieb messbar machen

Erfahren Sie, wie Eye Tracking Teams in der Luftfahrt dabei hilft zu verstehen, wohin sich die Aufmerksamkeit richtet, was übersehen wird und wie sich das Sehverhalten unter Arbeitsbelastung verändert.

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Risiken bei der Entwicklung von Medizinprodukten erkennen, bevor sie auftreten

Entdecken Sie, wie Eye Tracking einen objektiven Einblick in das Benutzerverhalten bietet und Teams hilft, Risiken früher zu erkennen und die Human Factors-Arbeit zu stärken.

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Erschließen Sie das volle Potenzial von Simulationstraining mit Eye Tracking

Entdecken Sie, wie Eye Tracking das Simulationstraining verbessert, indem es das visuelle Verhalten, die kognitive Belastung und die Entscheidungsfindung aufdeckt und so tiefere Einblicke in die Performance and decision making ermöglicht.

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Wie Kubota die Inspektionsschulung mit Eye Tracking verbesserte

Durch die Einführung von tragbaren Eye Tracking-Geräten von Tobii in die Inspektionsschulung erhielt Kubota eine Möglichkeit, messbares, gezieltes Feedback zu geben, das die kontinuierliche Verbesserung und die Aufrechterhaltung einer hohen Produktqualität unterstützt.

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Verstehen und Messen der kognitiven Belastung durch Eye Tracking

Dieser umfassende Leitfaden zeigt, wie Eye Tracking eine nicht-intrusive Echtzeit-Messung der kognitiven Belastung ermöglicht und Einblicke in das Lernen, die Entscheidungsfindung und die Performance ermöglicht.

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Visualisierung von Expertenurteilen: Eye Tracking in der Ausbildung von Notfallsanitätern

Die Nippon Sport Science University setzt Eye Tracking ein, um das Wissen und die Fähigkeiten erfahrener Krankenschwestern in der medizinischen Notfallversorgung in der Ausbildung zu visualisieren.

Verbessern Sie Ihre Ausbildungsforschung

Entdecken Sie, wie Eye Tracking Training und Bewertung verändern kann, indem es personalisierte Einblicke bietet und die Bildungsergebnisse verbessert.

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