Workload, Usability, and Engagement with a Mobile App Supporting Video Observation of Methadone Take-Home Dosing: Usability Study

Idrisov, Bulat; Hallgren, Kevin A.; Michaels, Alyssa; Soth, Sean; Darnton, James; Grekin, Paul; Woolworth, Steve; Saxon, Andrew J.; Tsui, Judith I.

doi:10.2196/42654

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…As shown in Figure 4 , the Task Load Index (TLX) uses 6 dimensions to measure workload. The 6 metrics are mental demand, temporal demand, physical demand, performance, effort, and frustration [ 16 , 18 ]. The NASA TLX scores are evaluated by dividing the score into 21 steps, subtracting 1 from the score, and multiplying it by 5 to express it on a scale of 0 to 100 [ 19 , 20 ].…”

Section: Methodsmentioning

confidence: 99%

User Experience Evaluation of a Spinal Surgery Robot: Workload, Usability, and Satisfaction Study

Choi,

Kim,

Jang

2024

JMIR Hum Factors

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Background Robotic spine surgery has continued to evolve since its US Food and Drug Administration approval in 2004, with products now including real-time video guidance and navigation during surgery. As the market for robotic surgical devices evolves, it is important to consider usability factors. Objective The primary objective of this study was to determine the user experience of a surgical-assistive robotic device. The secondary objective was to evaluate workload, usability, the After-Scenario Questionnaire (ASQ), and the System Usability Scale (SUS). In addition, this study compares the workload, usability, and satisfaction survey of the device among different occupational groups using the device. Methods Doctors (n=15) and nurses (n=15), the intended users of the surgical assistant robot, participated in the usability evaluation. Participants performed essential scenarios for the surgical assistant robot and provided scenario-specific satisfaction (ASQ), workload (NASA Task Load Index), and usability (SUS) scores. Results Both doctors and nurses had task success rates of 85% or higher for each scenario. ASQ results showed that both doctors and nurses were least satisfied with ease of completing the task of registration (group 1: mean 4.73, SD 1.57 and group 2: mean 4.47, SD 1.8), amount of time it took (group 1: mean 4.47, SD 1.63 and group 2: mean 4.40, SD 2.09), and support information satisfaction (group 1: mean 5.13, SD 1.50 and group 2: mean 5.13, SD 1.89). All participants had low workloads, and the overall Task Load Index score had a P value of .77, which is greater than .05. The SUS results showed that the overall usability mean for doctors was 64.17 (SD 16.52) and the mean for nurses was 61.67 (SD 19.18), with a P value of .84, which is greater than .05, indicating no difference between the 2 groups. Conclusions In this study, doctors and nurses evaluated the interaction of the device in a simulated environment, the operating room. By evaluating the use experience and usability of the device with real intended users, we can develop a more effective and convenient user interface.

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Section: Methodsmentioning

confidence: 99%

User Experience Evaluation of a Spinal Surgery Robot: Workload, Usability, and Satisfaction Study

Choi,

Kim,

Jang

2024

JMIR Hum Factors

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Barriers to and Facilitators of e‐Learning Health Education Based on the Mental Workload Framework: A Scoping Review

Yan,

Shan,

et al. 2024

Nursing & Health Sciences

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This scoping review of studies on patients' mental workload (MWL) in health education via e‐learning was conducted to characterize the state of research and to identify barriers to and facilitators of e‐learning. The Cochrane Library, PubMed, Embase, Web of Science, and PsycINFO electronic databases were searched through September 10, 2023. A descriptive analysis of study characteristics and a content analysis of barriers to and facilitators of MWL were conducted. Among the 2837 studies screened for eligibility, 38 were included. A relatively small number of articles used a comprehensive framework to explore barriers to and facilitators of e‐learning or used indicators of MWL to assess application usability and user experience. Analyses of factors influencing the effectiveness of e‐learning in health education identified key predictors across five domains: individual, task, technical, environmental, and interactive aspects. The incorporation of multifaceted influencing factors that contribute to optimizing the MWL should be a priority when using e‐learning in health education. Future research should give more attention to investigating the generative mechanism of e‐learning in health education to enhance targeted program design.

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User Experience Evaluation of a Spinal Surgery Robot: Workload, Usability, and Satisfaction Study (Preprint)

Choi,

Kim,

Jang

2023

Preprint

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BACKGROUND Robotic spine surgery has continued to evolve since its FDA approval in 2004, with products now including real-time video guidance and navigation during surgery. As the market for robotic surgical devices evolves, it's important to consider usability factors. OBJECTIVE The primary objectives of this study were to determine the safety and efficacy of a surgical assistive robotic device and to evaluate the workload and system usability scores of the evaluated device. The secondary objective was to compare the workload and usability of the device among different occupational groups using the device. METHODS Neurosurgeons (n=15) and nurses (n=15), the intended users of the surgical assistant robot, participated in the usability evaluation. Participants performed essential scenarios for the surgical assistant robot and provided scenario-specific satisfaction (ASQ), workload (NASA TLX), and usability (SUS) scores. RESULTS Both doctors and nurses had task success rates of 85% or higher for each scenario. ASQ results showed that both doctors and nurses were least satisfied with Ease of completing the task of Registration (Group1 : 4.73±1.57, Group 2 : 4.47±1.8), Amount of time it took (Group1 : 4.47±1.63, Group 2 : 4.40±2.09), and Support information satisfaction (Group1 : 5.13±1.50, Group 2 : 5.13±1.89). All participants had low workloads and the overall TLX score had a p-value of 0.767, which is greater than 0.05. The SUS results showed that the overall usability mean for doctors was 64.17 (SD: 16.52) and the mean for nurses was 61.67 (SD: 19.18), with a p-value of 0.838, which is greater than 0.05, indicating no difference between the two groups. CONCLUSIONS In this study, doctors and nurses evaluated the interaction of the device in a simulated environment, the operating room. By evaluating the experience and usability of the device with real intended users, we can develop a more effective and convenient UI.

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Workload, Usability, and Engagement with a Mobile App Supporting Video Observation of Methadone Take-Home Dosing: Usability Study

Cited by 4 publications

References 11 publications

User Experience Evaluation of a Spinal Surgery Robot: Workload, Usability, and Satisfaction Study

User Experience Evaluation of a Spinal Surgery Robot: Workload, Usability, and Satisfaction Study

Barriers to and Facilitators of e‐Learning Health Education Based on the Mental Workload Framework: A Scoping Review

User Experience Evaluation of a Spinal Surgery Robot: Workload, Usability, and Satisfaction Study (Preprint)

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