Background: Gestural interaction systems are increasingly being used, mainly in games, expanding the idea of entertainment and providing experiences with the purpose of promoting better physical and/or mental health. Therefore, it is necessary to establish mechanisms for evaluating the usability of these interfaces, which make gestures the basis of interaction, to achieve a balance between functionality and ease of use.
Objective: This study aims to present the results of a systematic review focused on usability evaluation methods for gesture-based games, considering devices with motion-sensing capability. We considered the usability methods used, the common interface issues, and the strategies adopted to build good gesture-based games.
Methods: The research was centered on four electronic databases: IEEE, Association for Computing Machinery (ACM), Springer, and Science Direct from September 4 to 21, 2015. Within 1427 studies evaluated, 10 matched the eligibility criteria. As a requirement, we considered studies about gesture-based games, Kinect and/or Wii as devices, and the use of a usability method to evaluate the user interface.
Results: In the 10 studies found, there was no standardization in the methods because they considered diverse analysis variables. Heterogeneously, authors used different instruments to evaluate gesture-based interfaces and no default approach was proposed. Questionnaires were the most used instruments (70%, 7/10), followed by interviews (30%, 3/10), and observation and video recording (20%, 2/10). Moreover, 60% (6/10) of the studies used gesture-based serious games to evaluate the performance of elderly participants in rehabilitation tasks. This highlights the need for creating an evaluation protocol for older adults to provide a user-friendly interface according to the user's age and limitations.
Conclusions: Through this study, we conclude this field is in need of a usability evaluation method for serious games, especially games for older adults, and that the definition of a methodology and a test protocol may offer the user more comfort, welfare, and confidence.
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http://dx.doi.org/10.2196/games.5860 | DOI Listing |
Background: Assisted partner services (APSs; sometimes called index testing) are now being brought to scale as a high-yield HIV testing strategy in many nations. However, the success of APSs is often hampered by low levels of partner elicitation. The Computer-Assisted Self-Interview (CASI)-Plus study sought to develop and test a mobile health (mHealth) tool to increase the elicitation of sexual and needle-sharing partners among persons with newly diagnosed HIV.
View Article and Find Full Text PDFNurse Educ
January 2025
Author Affiliations: Daphne Cockwell School of Nursing (Dr Ziegler, Ms Dickson), Toronto Metropolitan University, Toronto, Ontario, Canada; School of Nursing (Dr Silva), Brock University, St. Catherines, Ontario, Canada; School of Nursing (Dr Pirani), University of Victoria, Victoria, British Columbia, Canada; School of Nursing (Dr Tyerman), University of Ottawa, Ottawa, Ontario, Canada; and School of Nursing (Dr Luctkar-Flude), Queens University, Kingston, Ontario, Canada.
Background: Practice-based learning is essential in nurse practitioner (NP) education to ensure public safety and prepare students for independent practice. However, lack of clinical placement opportunities results in variability in clinical experience, necessitating educational innovation.
Purpose: To evaluate the usability, engagement, and impact of the Essential Skills for Nurse Practitioners virtual simulations (VS).
Brief Bioinform
November 2024
Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, 999077, China.
The complexity of T cell receptor (TCR) sequences, particularly within the complementarity-determining region 3 (CDR3), requires efficient embedding methods for applying machine learning to immunology. While various TCR CDR3 embedding strategies have been proposed, the absence of their systematic evaluations created perplexity in the community. Here, we extracted CDR3 embedding models from 19 existing methods and benchmarked these models with four curated datasets by accessing their impact on the performance of TCR downstream tasks, including TCR-epitope binding affinity prediction, epitope-specific TCR identification, TCR clustering, and visualization analysis.
View Article and Find Full Text PDFInt Urogynecol J
January 2025
Biogipuzkoa Health Research Institute, Donostia/San Sebastián, Spain.
Introduction And Hypothesis: Stress urinary incontinence (SUI) is a highly prevalent condition in women. We hypothesized that the Tampsec™ vaginal tampon will be efficacious and well tolerated in its treatment.
Methods: This was a multicenter open-label parallel-group randomized control trial.
Digit Health
January 2025
Department of Neurology and Stroke Centre, Hospital La Paz Institute for Health Research-IdiPAZ (La Paz University Hospital-Autonomous University of Madrid), Madrid, Spain.
Introduction: New technologies could play a role in post-stroke aphasia (PSA). Our aims were to develop a digital tool; to evaluate its acceptance and usability by patients and caregivers; and to demonstrate its effectiveness in improving language skills in patients with PSA, applying it from the acute phase.
Methods: The study consisted of two phases: development of a digital tool; and an interventional before-and-after study.
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