For almost 20 years, practitioners and researchers have been using the System Usability Scale (SUS) as a “quick and dirty” method of evaluating the usability of different websites, software, and other human-machine systems. The characteristics of the SUS (e.g., reliability, number of scales, etc.) have been widely discussed in the literature but there have been little written about how the results of the SUS relate to traditional usability results (likely due primarily to these results being proprietary). In this study, eight different usability studies were used to make a direct comparison between the SUS and usability results. A significant but small relation was found between these two scores suggesting that the SUS may be a valid measure to ordinally compare two or more systems.

The system usability scale (SUS; Brooke, 1996) is an instrument commonly utilized in usability testing of commercial products. The goal of this symposium is to discuss the validity of the SUS in usability tests and beyond. This article serves as an introduction to the symposium. Specifically, it provides an overview of the SUS and discusses research questions currently being pursued by the panelists. This current research includes: defining usability norms, assessing usability without performing tasks, and the use of SUS for ergonomics. In addition to this paper, there are four other papers in the symposium, which discuss the impact of experience on SUS data, the relationship between SUS and performance scores, the linkage between SUS and business metrics, as well as the potential for using SUS in test and evaluation for military systems.

Graphical interfaces allow users to issue commands using pull-down menus, icon toolbars, and keyboard shortcuts. Menus and icon toolbars are easier to learn, whereas keyboard shortcuts are more efficient. It would seem natural for users to migrate from the use of easy-to-learn menu and icon methods to the more efficient method of keyboard shortcuts as they gain experience. To investigate the extent to which this transition takes place, 251 experienced users of Microsoft Word were given a questionnaire assessing their choice of methods for the most frequently occurring commands. Contrary to our expectations, most experienced users rarely used the efficient keyboard shortcuts, favoring the use of icon toolbars instead. A second study was done to verify that keyboard shortcuts are, indeed, the most efficient method. Six participants performed common commands using menu selection, icon toolbars, and keyboard shortcuts. The keyboard shortcuts were, as expected, the most efficient. These studies show that even ...

Objective: We aimed to identify opportunities for application of human factors knowledge base to mitigate disaster management (DM) challenges associated with the unique characteristics of the COVID-19 pandemic. Background: The role of DM is to minimize and prevent further spread of the contagion over an extended period of time. This requires addressing large-scale logistics, coordination, and specialized training needs. However, DM-related challenges during the pandemic response and recovery are significantly different than with other kinds of disasters. Method: An expert review was conducted to document issues relevant to human factors and ergonomics (HFE) in DM. Results: The response to the COVID-19 crisis has presented complex and unique challenges to DM and public health practitioners. Compared to other disasters and previous pandemics, the COVID-19 outbreak has had an unprecedented scale, magnitude, and propagation rate. The high technical complexity of response and DM coupled with lack of mental model and expertise to respond to such a unique disaster has seriously challenged the response work systems. Recent research has investigated the role of HFE in modeling DM systems’ characteristics to improve resilience, accelerating emergency management expertise, developing agile training methods to facilitate dynamically changing response, improving communication and coordination among system elements, mitigating occupational hazards including guidelines for the design of personal protective equipment, and improving procedures to enhance efficiency and effectiveness of response efforts. Conclusion: This short review highlights the potential for the field’s contribution to proactive and resilient DM for the ongoing and future pandemics.

Identifying factors associated with recommended physical activity (PA) levels are critical in efforts to combat the obesity epidemic and related comorbidities. We conducted cross-sectional analyses of college students (n = 490) enrolled in a large southern state university in October of 2014. Our aim was to identify sociodemographic characteristics, technology use, and sleep patterns among college students and their independent relationship to recommended PA. An online survey was sent to all enrolled students. Logistic regression predicted achieving recommended ≥150 min per week of moderate-vigorous PA (MVPA) versus not (≤149 min MVPA). Approximately 69% of study participants were males, 18% were Hispanic, and more than half (60%) were within the normal body mass index (12% were obese). The average age of students was 21 years. On a daily average, individuals used smartphones most often (nearly 4.4 h), followed by laptops at 4.0 h, desktops at 1.2 h, and tablets at 0.6 h. The mean number of hours individuals reported sleeping was 6.7. Sociodemographic factors associated with reporting ≥150 min of MVPA included being male (OR = 4.0, 95% CI 2.2–7.1) versus female, being non-Hispanic White (OR = 1.8, CI 1.1–3.2) versus being a member of minority race group. Behavioral factors associated with reporting ≥150 min of MVPA included technology use (being moderate-heavy (OR = 2.3, CI 1.1–4.8) or heavy (OR = 3.4, CI 1.6–7.5) users of technology), and receiving low-moderate (OR = 1.9, 1.01–3.7) levels of sleep versus the lowest level of sleep. In the current study, minority status and being female were the strongest sociodemographic factors associated with inadequate PA levels, while high technology use (primarily driven by smartphone use) were associated with recommended PA levels. Identifying factors associated with being physically active will allow for targeted interventions to improve the health of young adults.