Applied ErgonomicsPub Date : 2024-12-16DOI: 10.1016/j.apergo.2024.104451
Kihyun Park , Jungmin Ryu , Kitae Hwang , Sungmin Kim , Younghee Song , Osung Seo , Shangmin Yhee , Woojin Park
{"title":"Developing predictive models of user affective responses and a grading system for evaluating multi-crease patterns in foldable smartphones","authors":"Kihyun Park , Jungmin Ryu , Kitae Hwang , Sungmin Kim , Younghee Song , Osung Seo , Shangmin Yhee , Woojin Park","doi":"10.1016/j.apergo.2024.104451","DOIUrl":"10.1016/j.apergo.2024.104451","url":null,"abstract":"<div><div>This study investigated the user affective (Kansei) evaluation of foldable smartphone creases. Twenty-five participants assessed twenty foldable smartphone display prototypes with various multi-crease patterns, for four affective dimensions (crease invisibility, flawlessness, luxuriousness and harmoniousness) using an 11-point rating scale, and, for overall goodness using a 7-point adjective-anchored scale. The adjectives for overall goodness evaluation represented different crease grade categories. Principal component analysis identified a composite measure, termed Affective Quality Score (AQS), which integrates the four affective dimensions. A regression model was developed to predict AQS based on physical features of a multi-crease pattern. Also, a crease grading system was established that determines the adjective grade category of a multi-crease pattern using its AQS. The regression model along with the crease grading system enables predicting and grading the affective quality of a given multi-crease pattern. The research outcomes would support design goal setting and continuous quality improvement for foldable smartphone products.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"125 ","pages":"Article 104451"},"PeriodicalIF":3.1,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142848416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied ErgonomicsPub Date : 2024-12-16DOI: 10.1016/j.apergo.2024.104442
Yoshiro Okubo , Yixuan He , Matthew A. Brodie , Cameron Hicks , Kim van Schooten , Nigel H. Lovell , Kaarin J. Anstey , Stephen R. Lord , Juno Kim
{"title":"Virtual reality obstacle avoidance training can be enhanced by physical feedback via perturbations: A proof-of-concept study","authors":"Yoshiro Okubo , Yixuan He , Matthew A. Brodie , Cameron Hicks , Kim van Schooten , Nigel H. Lovell , Kaarin J. Anstey , Stephen R. Lord , Juno Kim","doi":"10.1016/j.apergo.2024.104442","DOIUrl":"10.1016/j.apergo.2024.104442","url":null,"abstract":"<div><h3>Background</h3><div>Fall injuries resulting from trips are a major health concern. Virtual reality (VR) offers an effective way of training obstacle avoidance while walking due to its ability to provide safe and meaningful real-time feedback during rehabilitation. This proof-of-concept study examined the benefit of providing physical feedback during obstacle avoidance gait training using VR.</div></div><div><h3>Methods</h3><div>Twenty-six young adults walked on an instrumented treadmill while wearing a head-mounted display in two 8-min conditions. Virtual obstacles to be avoided were presented in a VR-only condition and a VR + Perturbation (VR + P) condition where additional rapid belt acceleration simulated tripping on an obstacle.</div></div><div><h3>Results</h3><div>A lower obstacle collision rate, greater step length and height of the leading foot over the obstacles were found in the VR + P condition compared to the VR-only condition (<em>p</em> < 0.05). Step height of the trailing foot over the obstacles significantly decreased over time during the VR-only condition (<em>p</em> < 0.01) but not during the VR + P condition. The margin of stability significantly improved over time during the VR + P condition only (<em>p</em> < 0.01).</div></div><div><h3>Conclusions</h3><div>Immediate physical feedback via treadmill belt acceleration can improve obstacle avoidance performance in a virtual environment. Future research is required to examine the generalizability of this finding to other populations and real-world falls.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"125 ","pages":"Article 104442"},"PeriodicalIF":3.1,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142848419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of automation level on airline pilots’ flying performance and visual scanning strategies: A full flight simulator study","authors":"Mickaël Causse , Manuel Mercier , Olivier Lefrançois , Nadine Matton","doi":"10.1016/j.apergo.2024.104456","DOIUrl":"10.1016/j.apergo.2024.104456","url":null,"abstract":"<div><div>Cockpit automation has brought significant benefits in terms of mental workload and fatigue. However, the way primary flight instruments are monitored by pilots may be negatively affected by the high confidence in systems. We examined the effects of automation level on mental workload, manual flight performance and visual strategies. Twenty professional pilots performed six landing scenarios at three levels of automation depending on flight director (flight path guidance) and autothrust (automatic management of the speed) engagements. Higher levels of automation increased flight performance and reduced mental workload, but were associated with a decrease in vigilance to primary instruments, particularly flight path indicators and engines’ thrust. We also found that gaze entropy was sensitive to pilot role (pilot flying vs pilot monitoring) and automation level. These results confirmed the risks of adverse effects of automation on visual monitoring. Designing procedures for pilots to actively monitor automated cockpit systems should be encouraged.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"125 ","pages":"Article 104456"},"PeriodicalIF":3.1,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142830915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied ErgonomicsPub Date : 2024-12-11DOI: 10.1016/j.apergo.2024.104452
Thomas Brand, Marcus Schmitz
{"title":"Identifying hand gestures for pedestrian-driver communication","authors":"Thomas Brand, Marcus Schmitz","doi":"10.1016/j.apergo.2024.104452","DOIUrl":"10.1016/j.apergo.2024.104452","url":null,"abstract":"<div><div>Road traffic is largely defined by clear rules and laws. However, there are certain situations that are ambiguous and in which explicit communication between road users is needed to resolve such misjudgements or ambiguities. Especially hand gestures can be used to coordinate traffic by conveying different intentions, which refer to one's own behaviour or the change in the behaviour of others. This paper aims to identify such gestures focusing on the pedestrian-driver communication. The paper follows two approaches: Firstly, an experimental study (<em>N</em> = 20) was conducted analysing gestures in predetermined scenarios in a virtual and real environment. Secondly, traffic observations were conducted to analyse and compare natural occurring gestures with those identified in the study. As a result, 18 relevant pedestrian gestures were identified. The type of gestures and the expressiveness of the execution did not differ between the virtual or real study environment. From this, it can be concluded that the virtual environment is an appropriate study environment for identifying and analysing gestures. Furthermore, the type of gestures did not differ between the experimental study and the traffic observations, but the naturally occurring gestures were executed less expressively compared to those from the study. Finally, the paper presents a suitable approach on how pedestrian gestures can be studied and provides a foundation for further research on the communication between pedestrians and automated vehicles (AVs).</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"125 ","pages":"Article 104452"},"PeriodicalIF":3.1,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied ErgonomicsPub Date : 2024-12-10DOI: 10.1016/j.apergo.2024.104427
Sakshi Taori, Sol Lim
{"title":"Classification algorithms trained on simple (symmetric) lifting data perform poorly in predicting hand loads during complex (free-dynamic) lifting tasks","authors":"Sakshi Taori, Sol Lim","doi":"10.1016/j.apergo.2024.104427","DOIUrl":"10.1016/j.apergo.2024.104427","url":null,"abstract":"<div><div>The performance of machine learning (ML) algorithms is dependent on which dataset it has been trained on. While ML algorithms are increasingly used for lift risk assessment, many algorithms are often trained and tested on controlled simulation datasets, lacking the diversity of the lifting conditions. Consequently, concerns arise regarding their applicability in real-world scenarios characterized by substantial variations in lifting scenarios and postures. Our study investigates the impact of different lifting scenarios on the performance of ML algorithms trained on surface electromyography (sEMG) armband sensor data to classify hand-load levels (2.3 and 6.8 kg). Twelve healthy participants (6 male and 6 female) performed repetitive lifting tasks employing various lifting scenarios, including symmetric (S), asymmetric (A), and free-dynamic (F) techniques. Separate algorithms were developed using diverse training datasets (S, A, S+A, and F), ML classifiers, and sEMG features, and tested using the F dataset, representing unconstrained and naturalistic lifts. The mean accuracy and sensitivity were significantly lower in models trained on constrained (S) datasets compared to those trained on naturalistic lifts (F). The accuracy, precision, and sensitivity of models trained with frequency-domain sEMG features were greater than those trained with the time-domain features. In conclusion, ML algorithms trained on controlled symmetric lifts showed poor performance in predicting loads for dynamic, unconstrained lifts; thus, particular attention is needed when using such algorithms in real-world scenarios.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"125 ","pages":"Article 104427"},"PeriodicalIF":3.1,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142815133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied ErgonomicsPub Date : 2024-12-08DOI: 10.1016/j.apergo.2024.104440
Steven A. Lavender , Carolyn M. Sommerich , Anas Kachlan
{"title":"Identifying ergonomics practices currently used by grocery distribution centers","authors":"Steven A. Lavender , Carolyn M. Sommerich , Anas Kachlan","doi":"10.1016/j.apergo.2024.104440","DOIUrl":"10.1016/j.apergo.2024.104440","url":null,"abstract":"<div><div>Grocery warehouse workers continue to experience high rates of musculoskeletal disorders largely due to the repetitive lifting performed during the product selection and palletizing process. This project aimed to describe ergonomics practices that have been implemented within grocery distribution centers in the United States that could help reduce musculoskeletal disorders. Ninety-seven management personnel from 30 distribution centers were interviewed regarding ergonomics practices in place within their respective facilities. Through this process 44 ergonomics practices were identified. Thirteen practices address how the facility is set up. Two practices focused on options within the warehouse's computer management system. Six practices targeted order selector tools. Seven practices focused on things that can be done in full-case pick operations. Eight organizational practices were identified that could facilitate ergonomics efforts. And finally, eight practices focused on reducing exposures to ergonomic hazards in piece-pick operations. For each identified practice implementation data were obtained.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"125 ","pages":"Article 104440"},"PeriodicalIF":3.1,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142803471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied ErgonomicsPub Date : 2024-12-07DOI: 10.1016/j.apergo.2024.104441
Eduardo Frio Marins , Gabriela Neves Nunes , Breno Berny Vasconcelos , Gabriela Barreto David , Lorena Oppelt , Valdinar de Araújo Rocha Junior , Cristine Lima Alberton
{"title":"Exploring police ergonomics: Effects of personal protective equipment, holster position and perceived discomfort on different gait intensities","authors":"Eduardo Frio Marins , Gabriela Neves Nunes , Breno Berny Vasconcelos , Gabriela Barreto David , Lorena Oppelt , Valdinar de Araújo Rocha Junior , Cristine Lima Alberton","doi":"10.1016/j.apergo.2024.104441","DOIUrl":"10.1016/j.apergo.2024.104441","url":null,"abstract":"<div><h3>Objectives</h3><div>This study investigated the impact of personal protective equipment (PPE) and holster positions on gait kinematics and discomfort in Brazilian police officers.</div></div><div><h3>Methods</h3><div>A crossover study included 20 active-duty police officers assessed two-dimensional kinematic and self-reported data. Three PPE use conditions (control, PPE + thigh holster, PPE + hip holster) were investigated during walking and sprint acceleration.</div></div><div><h3>Results</h3><div>PPE use increased stride length and gait speed in the weapon side compared to the free side during walking and reduced the stride length of the free side during sprint acceleration. PPE also increased back and knee discomfort during walking, with sprint acceleration proving more comfortable for the knee when using a thigh holster compared to a hip holster.</div></div><div><h3>Conclusion</h3><div>PPE significantly affects gait mechanics and discomfort, especially during sprinting. Holster placement is critical to officer mobility and comfort, emphasizing the need for ergonomic improvements in PPE design.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"125 ","pages":"Article 104441"},"PeriodicalIF":3.1,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142795682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied ErgonomicsPub Date : 2024-12-06DOI: 10.1016/j.apergo.2024.104426
Mitali Shrikant Bhosekar , Kapil Chalil Madathil , Anjali Joseph , Sahar Mihandoust , Ann Dietrich , Meera Narasimhan
{"title":"Technological barriers to providing pediatric mental and behavioral healthcare in emergency departments","authors":"Mitali Shrikant Bhosekar , Kapil Chalil Madathil , Anjali Joseph , Sahar Mihandoust , Ann Dietrich , Meera Narasimhan","doi":"10.1016/j.apergo.2024.104426","DOIUrl":"10.1016/j.apergo.2024.104426","url":null,"abstract":"<div><div>In the United States, about 5% of pediatric Emergency Department (ED) visits involve mental and behavioral health (MBH) emergencies, and EDs are often ill-equipped to provide timely, appropriate care, leading to prolonged stays and increased risks of trauma and harm for these children and their families. This study investigated technological barriers affecting safe and effective pediatric mental and behavioral healthcare in emergency departments through observational studies and semi-structured interviews with 55 medical professionals across four ED settings: pediatric MBH unit, pediatric ED, and adult ED. A total of 12 barrier themes were identified through the thematic analysis of the interviews relating to technology use that impacts the care of pediatric MBH patients. The major themes include issues due to limited electronic medical record data management, ineffective communication in the ED, and usability issues with ED technologies. Other concerns included inadequate infrastructure, absence of streamlined processes, unsafe and inefficient integration of technology, and lack of training. Challenges stemming from patients' reluctance to accept telepsychiatry further complicate providing effective care in these settings. Future research needs to focus on designing systems and solutions to eliminate the barriers, thereby supporting the caregiving process of pediatric MBH in EDs.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"125 ","pages":"Article 104426"},"PeriodicalIF":3.1,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142792952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied ErgonomicsPub Date : 2024-12-04DOI: 10.1016/j.apergo.2024.104419
Demetrius Solomon , Jukrin Moon , Vishala Parmasad , Sara Hernandez , Douglas Wiegmann , Nasia Safdar
{"title":"Examining the implementation of a multi-site evidence-based intervention to reduce fluoroquinolone usage: A qualitative content analysis of staff interviews to identify facilitators and barriers","authors":"Demetrius Solomon , Jukrin Moon , Vishala Parmasad , Sara Hernandez , Douglas Wiegmann , Nasia Safdar","doi":"10.1016/j.apergo.2024.104419","DOIUrl":"10.1016/j.apergo.2024.104419","url":null,"abstract":"<div><div>Clostridioides difficile infection is the most common healthcare-associated infection, causing almost half a million infections in the United States annually. Inappropriate antibiotic usage is a known risk factor. Antibiotic stewardship efforts aim to optimize prescribing. Evidence supports pre-prescription authorization as a highly effective intervention. A pre-prescription intervention for fluoroquinolone antibiotics via a computerized clinical decision support tool called a “best practice alert” (BPA) embedded in the patient’s electronic health records has high potential for improving antibiotic stewardship. However, information is scant about the factors that might impact the uptake and effectiveness of this BPA and other similar evidence-based interventions when spread and adopted across multiple independent sites. Therefore, we utilized the Consolidated Framework for Implementation Research (CFIR) to understand the facilitators and barriers to the implementation process that influence clinical and implementation outcomes. In doing so, we conducted semi-structured interviews with 18 healthcare professionals across four hospitals. Our research team performed a qualitative analysis to understand the contextual factors influencing the implementation outcomes, such as acceptability and sustainability.</div></div><div><h3>Takeaways</h3><div>The following themes highlight the factors affecting the implementation of this healthcare innovation.</div></div><div><h3>Intervention characteristics domain</h3><div>Designing interventions that are customizable and low maintenance.</div></div><div><h3>Inner setting domain</h3><div>Maturity level of the Antibiotic Stewardship Program.</div></div><div><h3>Individuals domain</h3><div>Implementer’s experience/attitudes in implementing healthcare innovations.</div></div><div><h3>Outer setting domain</h3><div>The ability to prioritize initiatives as the organization responds to unintended circumstances (e.g., COVID).</div></div><div><h3>Process domain</h3><div>Adapting implementation approaches and strategies as technology spreads.</div></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"125 ","pages":"Article 104419"},"PeriodicalIF":3.1,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142787966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}