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Experimental study on tourist satisfaction using participatory simulation in a virtual environment.

ABSTRACT: Before traveling, tourists need to ensure that they will have a well-organized trip, which mainly involves a smooth flow of visits to different tourist attractions by themselves or following a pre-designed plan made by tourism service providers. The present study examined how the sequence of visiting tourist attractions influences tourist satisfaction at the expectation and experience levels. Participatory simulation with a virtual environment platform was employed in the experiments to assess their experience. The research reveals that the contrast bias has significant influence on the assessment.

SUBMITTER: Chao D

PROVIDER: S-EPMC4320162 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Experimental study on tourist satisfaction using participatory simulation in a virtual environment.

Chao Dingding D Kanno Taro T Furuta Kazuo K

SpringerPlus 20131022

Before traveling, tourists need to ensure that they will have a well-organized trip, which mainly involves a smooth flow of visits to different tourist attractions by themselves or following a pre-designed plan made by tourism service providers. The present study examined how the sequence of visiting tourist attractions influences tourist satisfaction at the expectation and experience levels. Participatory simulation with a virtual environment platform was employed in the experiments to assess t ...[more]

PMID: 25674403

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Project description:IntroductionThere has been a move to a "flipped classroom" (FC) in medical education. The FC promotes active learning and utilizes independent preparation prior to in-class sessions. Few studies have evaluated the effectiveness of the FC approach in medical education, specifically via virtual learning. The purpose of this study evaluates student and faculty perceptions of the FC approach and relationships between student engagement and performance.MethodThe first-year medical student psychiatry curriculum was redesigned with an FC approach and subsequently altered by COVID-19 to a virtual learning environment. A mixed-method approach was used to examine both qualitative assessment and quantitative performance data. Students and facilitators were invited to participate in surveys regarding the curriculum changes. Student performance data was collected via quizzes and examinations. Engagement was evaluated by student participation in National Board of Medical Examiners-style multiple-choice questions delivered via Top Hat®. Correlational analyses were used to evaluate associations between engagement and performance. T-tests were used to compare student satisfaction across 2019 and 2020.ResultsPerformance on in-class questions was positively associated with class rank and performance (p < 0.005). More students were either satisfied or strongly satisfied (91.5%) in 2020 compared to 85.7% in 2019 (two-tailed t-test, p = 0.04). Most students (81.3%) preferred in-class questions to lectures. In 2020, 62.6% of student comments were positive regarding the psychiatry curriculum vs 33.3% in 2019. Over 61.5% of facilitators felt positive towards the changes.ConclusionOur results demonstrate a positive relationship between engagement and class performance. Students and facilitators positively perceived the approach, with students preferring in-class questions compared to lectures. Future research should evaluate overall performance on standardized tests, third-year clerkships, and number of students matching into psychiatry.Supplementary informationThe online version contains supplementary material available at 10.1007/s40670-021-01287-x.

Project description:Objective:Tracheal sounds were used to detect apnea on various occasions. However, ambient noises can contaminate tracheal sounds which result in poor performance of apnea detection. The objective of this paper was to apply the adaptive filtering (AF) algorithm to improve the quality of tracheal sounds and examine the accuracy of the apnea detection algorithm using tracheal sounds after AF. Method:Tracheal sounds were acquired using a primary microphone encased in a plastic bell, and the ambient noises were collected using a reference microphone resting outside the plastic bell in quiet and noisy environments, respectively. Simultaneously, the flow pressure signals and thoracic and abdominal movement were obtained as the standard signals to determine apnea events. Then, the normalized least mean square (NLMS) AF algorithm was applied to the tracheal sounds mixed with noises. Finally, the algorithm of apnea detection was used to the tracheal sounds with AF and the tracheal sounds without AF. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and Cohen's kappa coefficient of apnea detection were calculated. Results:Forty-six healthy subjects, aged 18-35 years and with BMI < 21.4, were included in the study. The apnea detection performance using tracheal sounds was as follows: in the quiet environment, the tracheal sounds without AF detected apnea with 97.2% sensitivity, 99.9% specificity, 99.8% PPV, 99.4% NPV, 99.5% accuracy, and 0.982 kappa coefficient. The tracheal sounds with AF detected apnea with 98.2% sensitivity, 99.9% specificity, 99.4% PPV, 99.6% NPV, 99.6% accuracy, and 0.985 kappa coefficient. While in the noisy environment, the tracheal sounds without AF detected apnea with 81.1% sensitivity, 96.9% specificity, 85.1% PPV, 96% NPV, 94.2% accuracy, and 0.795 kappa coefficient and the tracheal sounds with AF detected apnea with 91.5% sensitivity, 97.4% specificity, 88.4% PPV, 98.2% NPV, 96.4% accuracy, and 0.877 kappa coefficient. Conclusion:The performance of apnea detection using tracheal sounds with the NLMS AF algorithm in the noisy environment proved to be accurate and reliable. The AF technology could be applied to the respiratory monitoring using tracheal sounds.

Project description:BackgroundClinical practice in neonatal intensive care units for nursing college students has been restricted due to the COVID-19 pandemic outbreak; thus, the gamification program has emerged as an alternative learning method. Consequently, there is a need to examine the effectiveness of such alternative learning methods to enhance the response to high-risk newborn emergencies.ObjectivesTo examine the effects (neonatal resuscitation nursing knowledge, problem-solving and clinical reasoning ability, self-confidence in practical performance, degree of anxiety, and learning motivation) of a neonatal resuscitation gamification program using immersive virtual reality based on Keller's ARCS model.DesignA non-randomized controlled simulation study with a pretest-posttest design.SettingLab and lecture rooms of two universities in South Korea, from June to November 2021.ParticipantsPrelicensure nursing students.MethodsThe virtual reality group (n = 29) underwent a neonatal resuscitation gamification program using virtual reality based on Keller's ARCS model. The simulation group (n = 28) received high-fidelity neonatal resuscitation simulations and online neonatal resuscitation program lectures. The control group (n = 26) only received online neonatal resuscitation program lectures. Changes in scores among these groups were compared using analysis of variance and analysis of covariance with SPSS for Windows version 27.0.ResultsPost intervention, neonatal resuscitation knowledge [F(2) = 3.83, p = .004] and learning motivation [F(2) = 1.79, p = .025] were significantly higher in the virtual reality and simulation groups than in the control group, whereas problem-solving ability [F(2) = 2.07, p = .038] and self-confidence [F(2) = 6.53, p < .001] were significantly higher in the virtual reality group than in the simulation and control groups. Anxiety [F(2) = 16.14, p < .001] was significantly lower in the simulation group than in the virtual reality and control groups.ConclusionsThe neonatal resuscitation gamification program using immersive virtual reality was found to be effective in increasing neonatal resuscitation knowledge, problem-solving ability, self-confidence, and learning motivation of the nursing students who participated in the trial application process.

Dataset Information

Experimental study on tourist satisfaction using participatory simulation in a virtual environment.

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Experimental study on tourist satisfaction using participatory simulation in a virtual environment.

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