An Adaptive Virtual Training System Based on Universal Design

Loch, Frieder; Fahimipirehgalin, Mina; Czerniak, Julia N.; Mertens, Alexander; Villani, Valeria; Fantuzzi, Cesare; Vogel‐Heuser, Birgit

doi:10.1016/j.ifacol.2019.01.023

Cited by 17 publications

(6 citation statements)

References 6 publications

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“…Because of that, eye movement data are used in diverse fields, such as marketing, to understand what catches people’s attention 1 – 3 ; neurosciences, to assess the development stages of infants before talking ages 4 ; artificial intelligence, to improve mechanisms of free-viewing 5 ; virtual reality, to predict when people will load images 6 ; adaptive interfaces, to improve the performance of partially automated vehicles 7 or helping non-verbal movement-impaired people (e.g. people suffering from tetraplegia, brain paralysis and locked-in syndrome) to interact with computers 8 , 9 . In medicine, namely in neurology and psychiatry, electroencephalogram data can be useful to know ‘where’ some pathology may originate, but it is often not enough to quantify ‘how’ serious the pathology is.…”

Section: Background and Summarymentioning

confidence: 99%

EyeT4Empathy: Dataset of foraging for visual information, gaze typing and empathy assessment

et al. 2022

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We present a dataset of eye-movement recordings collected from 60 participants, along with their empathy levels, towards people with movement impairments. During each round of gaze recording, participants were divided into two groups, each one completing one task. One group performed a task of free exploration of structureless images, and a second group performed a task consisting of gaze typing, i.e. writing sentences using eye-gaze movements on a card board. The eye-tracking data recorded from both tasks is stored in two datasets, which, besides gaze position, also include pupil diameter measurements. The empathy levels of participants towards non-verbal movement-impaired people were assessed twice through a questionnaire, before and after each task. The questionnaire is composed of forty questions, extending a established questionnaire of cognitive and affective empathy. Finally, our dataset presents an opportunity for analysing and evaluating, among other, the statistical features of eye-gaze trajectories in free-viewing as well as how empathy is reflected in eye features.

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Section: Background and Summarymentioning

confidence: 99%

EyeT4Empathy: Dataset of foraging for visual information, gaze typing and empathy assessment

et al. 2022

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“…Research indicates that VR enables on-the-job, on-demand, and off-premise training in novel ways. In this context, it is worthwhile to consider that VR training apps can help to overcome these obstacles [32].…”

Section: Extended Reality In Trainingmentioning

confidence: 99%

The Significant and Challenges of Extended Reality Technologies in Learning and Training during Covid-19 Pandemic

2022

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Extended Reality (XR) technologies can play a significant role in proving huge value to education following the changed circumstances universities faced during pandemic. This study presents Virtual Reality (VR) as a means of enhancing learning in education and training field during outbreak. This paper represents the use of XR technologies in a wide variety of settings, including the context of the education, learning, and training. Considering the most significant papers with a total of 2,270 articles from conferences and journals were obtained through online search was conducted from databases such as Google Scholar, Scopus, Web of Science (WoS), IEEE Xplore, ACM Digital Library, Springer Link, Research Gate, and Academia. The number of papers released, and the number of references obtained in both databases have a substantial-high influence. Researchers performing literature searches using bibliographic databases as their initial and dominant resource to customized and filtered sort out the most relevant publications examined based on abstract and key words such as Extended reality, Virtual reality, VR training, COVID-19, Distance education, Virtual environments, Education, Virtual Laboratories. According to the findings, XR equips students to gain professional skills to their subject as well as to increase the performance of learning quality and improve training.

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“…The adaptations concern the use of different representations of lessons with different complexity and interaction modalities. The proposed approach provides a flexible training system that can adapt to the needs of a broad group of users" (Loch et al, 2019) In a framework developed by (Zahabi & Abdul Razak, 2020) the authors take into account three fundamental components to adapt training system: (1) trainee's performance measurement; (2) adaptive variable; and (3) adaptive logic (Zahabi & Abdul Razak, 2020). The first stage of this framework collects performance measures from a combination of online and real-time measurements, including information on the student's profile (experience, age, learning style), physiology (eye-tracking, heart rate, galvanic skin response), task performance (error and type), and kinematic/kinetic measures (range of motion, strength).…”

Section: Virtual Reality Selft-adaptive Technologymentioning

confidence: 99%