An immersive nursing education system that provides experience of exemplary procedures from first person viewpoint with haptic feedback on wrist

Komizunai, Shunsuke; Colley, Noriyo; Konno, Atsushi

doi:10.1109/sii46433.2020.9025901

Cited by 6 publications

(6 citation statements)

References 4 publications

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“…The session consisted of a playthrough of the scenario and observation of participants during the playthrough, including note taking; resulting in a post-playthrough focus group. During the playthrough session the impact of interaction design on the experience evidenced in Chang and Lai (2021), Komizunai et al (2020), Botha et al (2020), and Choi (2019) was observed. Students and faculty had difficulties in understanding the mapping of the controllers and several bugs interfered with immersion and presence.…”

Section: Initial Evaluationmentioning

confidence: 95%

“…However, the successful use of VR as a teaching tool in nursing is influenced by how the application and the interactions are designed and the user experience it can provide. Empirical evidence of this is shown for instance in Chang and Lai (2021), Komizunai et al (2020), Botha et al (2020), andChoi (2019) which illustrate how design limitations in the applications affect how users experience the simulation. For instance, Chang and Lai (2021) identify the lack of realism in the simulation as a key theme whilst Choi (2019) found that interaction through controllers limits the authenticity of the simulation.…”

Section: Related Workmentioning

confidence: 98%

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Nursing XR – a VR application to teach decision making to student nurses

Gilardi

Honnan

Sheerman

et al. 2022

ECGBL

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This paper validates an approach to the design and development of VR applications that are integrated into the curricula and address fundamental student needs. To accomplish this, a case study describing the process undertaken to create Nursing XR, a wound dressing scenario where the patient is discharged home and requires follow up care and treatment by a nurse. The aim of the VR application is to support nursing students in developing their communication, risk assessment, holistic assessment, and person-centred clinical decision-making skills. To design Nursing XR, needs and initial requirements were collected via a workshop with student nurses. The workshop, which involved 10 student nurses and two lecturers in nursing from two Universities (Co-Is) and was led by the PI, supported by the learning technologist and the head developer of the company used for development of the software. Results from the workshop identified two major needs for the students: the need to undertake practical applications of the procedures learned in the lectures and the need to build confidence in the skills required of a nursing student. These needs were the foundations for the design process, which followed an artefact-based approach. The artefacts generated during the design were also used to elicit additional interaction and software requirements from the nursing lecturers. An iterative lean development process was followed by the company for the software implementation. Throughout the development, students and lecturers were involved as user testes ensuring that the user experience of the application was satisfactory, and the application fit for purpose.In this paper, we describe the high-level design and development process followed by the multidisciplinary team to develop Nursing XR and report initial qualitative findings from the workshop focus group.

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Section: Initial Evaluationmentioning

confidence: 95%

Section: Related Workmentioning

confidence: 98%

Nursing XR – a VR application to teach decision making to student nurses

Gilardi

Honnan

Sheerman

et al. 2022

ECGBL

View full text Add to dashboard Cite

show abstract

“…Further, these conventional simulation systems had only one trachea model. The ESTE-SIM is a very compact simulation system which allows easy attachment and detachment of trachea models [8][9][10][11], that facilitates the preparation of multiple trachea models. The main objective of this study was to construct a trachea model for…”

Section: Plos Onementioning

confidence: 99%

“…Simulation education has been attracting attention as an effective way to teach appropriate tracheal suctioning techniques that involve validated principles and rationale [8,9]. Recently, a simulator has been developed which can quantitatively detect catheter operation in the respiratory tract model [10,11].…”

Section: Introductionmentioning

confidence: 99%

Construction of a detachable artificial trachea model for three age groups for use in an endotracheal suctioning training environment simulator

et al. 2021

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Tracheal suctioning is an important procedure to maintain airway patency by removing secretions. Today, suctioning operators include not only medical staff, but also family caregivers. The use of a simulation system has been noted to be the most effective way to learn the tracheal suctioning technique for operators. While the size of the trachea varies across different age groups, the artificial trachea model in the simulation system has only one fixed model. Thus, this study aimed to construct multiple removable trachea models according to different age groups. We enrolled 20 patients who had previously received proton beam therapy in our institution and acquired the treatment planning computed tomography (CT) image data. To construct the artificial trachea model for three age groups (children, adolescents and young adults, and adults), we analyzed the three-dimensional coordinates of the entire trachea, tracheal carina, and the end of the main bronchus. We also analyzed the diameter of the trachea and main bronchus. Finally, we evaluated the accuracy of the model by analyzing the difference between the constructed model and actual measurements. The trachea model was 8 cm long for children and 12 cm for adolescents and young adults, and for adults. The angle between the trachea and bed was about 20 degrees, regardless of age. The mean model accuracy was less than 0.4 cm. We constructed detachable artificial trachea models for three age groups for implementation in the endotracheal suctioning training environment simulator (ESTE-SIM) based on the treatment planning CT image. Our constructed artificial trachea models will be able to provide a simulation environment for various age groups in the ESTE-SIM.

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“…In Japan, Komizunai et al (2020) developed a model that measures the whole-body movements and gaze of skilled nurses during tracheal suctioning, which is reflected in a humanoid model in the VR space. Colley et al (2021) also developed a device for learning endotracheal aspiration skills (Patent No.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the possibility of using an augmented reality‐based endotracheal aspiration simulation tool for nursing education

Arakida,

Takahashi,

Matsuda

et al. 2023

Japan Journal Nursing Sci

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AimWe developed an augmented reality technology‐based endotracheal aspiration simulation tool (the AR tool) consisting of three modes: a mode for nursing students to learn endotracheal aspiration by themselves (learning mode); a mode for repeated practice (practice mode); and a mode for confirmation testing (test mode). This study aimed to compare the learning outcomes of the AR tool with traditional training mannequins and identify potential uses and improvements of the AR tool.MethodsWe invited students, and faculty members from the three universities who agreed to cooperate in conducting this study. Fifty‐four students and nine faculty members agreed to participate in this study. The students were divided into two groups. One group was to study with the AR tool and the other group was to study with the traditional half‐body training mannequin for suction. The students in both groups were asked to demonstrate endotracheal aspiration on another full‐body type training mannequin which could be used as a patient with a tracheostomy (Skill test). Group interviews with faculty members focused on the topic of the AR tool's potential use in nursing education and improvement needed.ResultsThere was little significant difference in the skill test results of endotracheal aspiration of students in both groups. The students and faculty members both expressed an interest in the AR tool. They said it was suitable for self‐study of endotracheal aspiration.ConclusionsThis AR tool is an effective teaching tool for learning the sequence of endotracheal suctioning, although there are some areas that need improvement.

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An immersive nursing education system that provides experience of exemplary procedures from first person viewpoint with haptic feedback on wrist

Cited by 6 publications

References 4 publications

Nursing XR – a VR application to teach decision making to student nurses

Nursing XR – a VR application to teach decision making to student nurses

Construction of a detachable artificial trachea model for three age groups for use in an endotracheal suctioning training environment simulator

Investigation of the possibility of using an augmented reality‐based endotracheal aspiration simulation tool for nursing education

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