Subjectivity in Failure Mode Effects Analysis (FMEA) Severity Classification within a Reliability Centered Maintenance (RCM) Context

This research paper investigated subjectivity in the severity rating of failure modes within a risk analysis process. Although several risk analysis processes can be utilized, the study considered the application of Failure Modes Effects Analysis (FMEA) or Failure Modes Effects and Criticality Analysis (FMECA) due to its common use within the Aerospace Industry. The study investigated both differences in severity selection given varying amounts of experience as well as any association between severity selection and the provided input information. The main goal of the research was to investigate the impact of data quality on severity selection and to identify factors that impact the severity score, and thus greatly influence the overall risk reduction strategies both in new acquisition and fielded systems. Participants consisted of both experienced and inexperienced FMEA/FMECA users. Participants were tasked to select a severity rating for nine failure modes (across three trials) assuming a typical severity scale. Different input data sets were provided in each trial to ascertain if an association exits between severity class selection and the amount of information available during analysis. This study provided evidence that risk analysis participants are subjective during severity rating selection when utilizing FMEA/FMECA processes. Users who are provided with irrelevant failure and mishap data tend to select similar severity levels; however, when no information is provided to users, user selections will be dramatically more conservative. Participants appear to select similar severity ratings regardless of the relevancy of the provided data

Stroboscopic Visual Training for Coaching Practitioners: A Comprehensive Literature Review

Background: The importance of vision and its impact upon an athlete’s performance has long been recognized by elite athletic communities. In recent decades, stroboscopic training methods have been developed to help train athletes from a visual, perceptual, and cognitive perspective using strobe glasses. Objective: Herein a comprehensive literature review was conducted to investigate the effectiveness of strobe glasses in training collegiate and professional athletes. Methods: This comprehensive literature review investigates the origins, attention influences, tasks, practitioner takeaways, and cost feasibility of stroboscopic visual training.Results: The findings from this review show promise of benefits from utilizing strobe glasses during training scenarios, particularly for improving fast or impulsive tasks. Strobe glasses can be accommodated into varying sporting environments and training regimens while being affordable to athletic, coaching, and training departments or centers. Studies investigating the direct influence of stroboscopic training on subsequent performance demonstrate viable methods for strengthening fundamental visual abilities. Notably, these fundamental abilities have been shown to correlate with improved game performance. Though early results are promising, there are still significant areas for further research and more comprehensive designs of stroboscopic training studies. Conclusion: This review highlights potential benefits and existing research gaps concerning the use of stroboscopic eyewear as an intervention method in sports. The delineation of optimal applications for strobe glasses is undetermined; however, information presented in this review can be meaningfully applied by coaching practitioners who are considering adopting the technology

Understanding the Use of Crisis Informatics Technology among Older Adults

Mass emergencies increasingly pose significant threats to human life, with a disproportionate burden being incurred by older adults. Research has explored how mobile technology can mitigate the effects of mass emergencies. However, less work has examined how mobile technologies support older adults during emergencies, considering their unique needs. To address this research gap, we interviewed 16 older adults who had recent experience with an emergency evacuation to understand the perceived value of using mobile technology during emergencies. We found that there was a lack of awareness and engagement with existing crisis apps. Our findings characterize the ways in which our participants did and did not feel crisis informatics tools address human values, including basic needs and esteem needs. We contribute an understanding of how older adults used mobile technology during emergencies and their perspectives on how well such tools address human values.Comment: 10 page

Predicting Academic Performance: A Systematic Literature Review

The ability to predict student performance in a course or program creates opportunities to improve educational outcomes. With effective performance prediction approaches, instructors can allocate resources and instruction more accurately. Research in this area seeks to identify features that can be used to make predictions, to identify algorithms that can improve predictions, and to quantify aspects of student performance. Moreover, research in predicting student performance seeks to determine interrelated features and to identify the underlying reasons why certain features work better than others. This working group report presents a systematic literature review of work in the area of predicting student performance. Our analysis shows a clearly increasing amount of research in this area, as well as an increasing variety of techniques used. At the same time, the review uncovered a number of issues with research quality that drives a need for the community to provide more detailed reporting of methods and results and to increase efforts to validate and replicate work.Peer reviewe

IERC 2012 Paper Formatting Guidelines

Abstract As organizations traverse the demographic shift occurring between retiring employees (Baby Boomers) and members of the younger generation taking their place (Gamers), the two largest issues organizations face are employee retention and knowledge transfer. For repetitive work processes that utilize ruggedized handheld computing tools, both of these issues can be remediated through the adoption of modern technology. Some ruggedized handheld device manufacturers, however, have been hesitant to embrace consumer-implemented solutions such as the removal of all physical keys in order to incorporate touchscreen only input. This hesitation is derived from the fear of the risks that industrial work environments are too destructive for consumer-like features and members of the aging workforce would be too hesitant, unwilling, or unskilled enough to accept a change of this magnitude. Using Baby Boomer and Gamer-aged workers from a large transportation company experienced with ruggedized handheld devices, a time and error evaluation was performed to determine which input type is best by generation. This study will help determine if ruggedized device adoption of touchscreen only input over physical keys is best for aiding the demographic shift

Using K-means Clustering to Create Training Groups for Elite American Football Student-athletes Based on Game Demands

Background: American football and the athletes that participate have continually evolved since the sport’s inception. The fluidity of the sport, as well as the growth of the body of knowledge pertaining to American football, requires evolving training techniques. While performance data is being garnered at very high rates by elite level sports organizations, the limiting factor to the value of data can be the limited known uses for the data. Objective: This study introduces a technique that can be used in tandem with data collected from wearable technology to better inform training decisions. Method: The K-means clustering technique was used to group athletes from two seasons worth of data from an NCAA Division 1 American football team that is in the “Power 5.” The data was obtained using Catapult Sports OPTIMEYE S5 TM in games played against only other “Power 5” programs. This data was then used to create average game demands of each student-athlete, which was then used to create training groups based upon individual game demands as previously mentioned. Results: The resultant groupings from the single-season analyses of seasons one and two showed results that were similar to traditional groupings used for training in American football, which worked as validation of the results, while also offering insights on individuals that may need to consider training in a non-traditional group based upon their game demands. Conclusion: This technique can be brought to `athletic training and be useful in any organization that is dealing with training multitudes of athletes

Noise Interference Impacts Simple and Choice Response Times during a Lower Extremity Cognitive–Motor Task

Cognitive performance is negatively affected by the presence of noise, which is seen as a distractor and a stressor, especially in hazardous occupational environments. The addition of musculoskeletal fatigue that commonly accompanies occupational work due to noise interruption can further elevate risk and compromise safety. The purpose of the study was to investigate the impact of both individual and a combination of noise interference and physical workload on simple and choice response time tasks. Sixteen healthy male and female participants (age: 20 ± 1 years; height: 169.48 ± 8.2 cm; weight: 67.93 ± 12.7 kg) performed a simple (SRT) and choice response task (CRT) with three Blazepod™ light response time systems by striking with the dominant lower extremity from a seated position while listening to noises from a construction site (65–85dB) through headphones. Participants then performed a low-intensity musculoskeletal fatigue task and completed the above measures again. Response times (RT) (ms) from three trials of SRT and CRT, both without and with noise interference, before (PRE) and after the workload (POST), were averaged, and a 2 (Noise) × 2 (workload) × 2 (task) repeated measure ANOVA and a 2 (Noise) × 2 (workload) repeated measure ANOVA were performed for SRT and CRT, respectively, using JASP at an alpha level of 0.05. Results revealed a significant interaction between workload task (p = 0.041), as well as a main effect significance for the workload (p = 0.007) and noise (p = 0.044). The main effect significance also existed for workload in SRT (p = 0.009) and for noise in CRT (p = 0.002). In SRT, RT was significantly faster during the POST fatigue measure, suggesting a possible cognitive arousal and a learning effect improvement rather than a negative fatigue effect. In both SRT and CRT, as well as individually in CRT, RT was significantly slower due to noise interruption, negatively impacting performance, especially in the more challenging CRT compared to SRT. Thus, findings from the current study suggest that the impact of noise interruption is significant when the complexity of the response task is greater, and the potential cognitive arousal due to the workload and potential learning effects may influence response time performances. Finally, a lower extremity cognitive–motor task demonstrates response time behavior similar to such upper extremity cognitive–motor tasks