Person-Centered Virtual Serious Games: Mental Health Education

Silva, Celina Da; Torres, Andrei; Kapralos, Bill; Peisachovich, Eva; Dubrowski, Adam; Baltazar, Veronica; Qureshi, Bilal Mazhar; Caraballo, Nelson

doi:10.1109/compsac51774.2021.00196

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…The SUS was applied to 18 participants (n = 18), of which 15 were nursing students and three were nursing faculty. The final SUS score obtained was 85, implying that the Moirai player achieved a good degree of usability [55].…”

Section: User Studymentioning

confidence: 95%

“…The development of this case study started in 2019, prior to the COVID-19 pandemic, and it addressed two problems: (i) the need to better understand the lived experiences of persons with mental illness to inform the design of serious games geared for undergraduate students, and (ii) the need for more accessible and interactive VSGs for student learning prior to attending mental health community placements [55].…”

Section: Person-centred Serious Games For Mental Health Educationmentioning

confidence: 99%

“…In 2019 we collected narratives from individuals who live with mental illness and accessed mental health services using qualitative methods [55]. We used the findings to co-design a VSG representative of their lived experience and support for shared decisionmaking [17].…”

Section: Scenariomentioning

confidence: 99%

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Moirai: A No-Code Virtual Serious Game Authoring Platform

et al. 2022

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Serious games, that is, games whose primary purpose is education and training, are gaining widespread popularity in higher education contexts and have been associated with increased learner memory retention, engagement, and motivation even among learners with special needs. Despite these benefits, serious games have fixed scenarios that cannot be easily modified, leading to predictable and dull experiences that can reduce user engagement. Therefore, there is a demand for tools that allow educators to create new modifications and customize serious game scenarios, and avoid the fixed-scenario problem and a one-size-fits-all approach. Here, we present and detail our novel virtual serious games authoring platform called Moirai, which uses a no-code approach to allow educators who may have limited (or no) prior programming experience to use a diagram-based interface to author and customize serious games focused on decision and communication skills development. We describe two case studies, each of which involved creating serious games for nursing education (one for mental health education and the other for internationally educated nurses). The usability of both games was qualitatively evaluated using the system usability scale (SUS) questionnaire and achieved above-average usability scores.

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Section: User Studymentioning

confidence: 95%

Section: Person-centred Serious Games For Mental Health Educationmentioning

confidence: 99%

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Moirai: A No-Code Virtual Serious Game Authoring Platform

et al. 2022

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“…College students generally have to face the triple pressures of school work, employment, and life; therefore, when their ideality collides with social reality, their psychology is prone to lose balance and generate psychological crises [1][2][3][4][5][6]. Now, the public has paid more attention to the mental health education of students, and there are more discussions on the mental health education of undergraduates and junior college students [7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Prediction of College Students' Psychological Crisis with a Neural Network Optimized by Harmony Search Algorithm

Jia

2022

Int. J. Emerg. Technol. Learn.

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Despite the growing concern with students’ mental health education, there are neither extensive research on stressors of psychological crisis, nor targeted research on the psychological crisis warning of college students with different levels of psychological crisis. To solve the problem, this paper aims to explore the psychological crisis warning and physical education (PE) intervention of college students based on artificial neural network (ANN). Firstly, the important evaluation indexes were determined for psychological crisis warning of college students; according to the adverse reactions and performance of college students in physiology, cognition, emotion, and behavior, the index data were processed by partial least squares (PLS) method. Next, a psychological crisis warning model was developed based on the optimized ANN: the harmony search (HS) algorithm was improved based on the differential evolutionary (DE) algorithm, and then used to optimize the backpropagation neural network (BPNN). The proposed model was proved feasible and effective through experiments.

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