ABSTRACT
the CoVid-19 pandemic drastically changed different aspects of the daily lives of millions of people, generating an increase in the use of the internet for maintaining social contact, teleworking or online studies. this study explores the extent to which the internet connection pattern changed during the CoVid-19 confinement in a sample of adults from four latin american countries, considering gender and age. a descriptive study was carried out, including a non-probabilistic convenience sample design. the final sample was comprised of 1488 participants. this analysis shows that internet habits changed in terms of frequency, duration, and time of use. We observe differences when it comes to gender and age. in women, the increases in use are greater for the different variables analyzed, especially for the frequency of connection at night. in terms of age, the younger the age, the greater the increase in internet connection time throughout the day and connection time at night. (PsycInfo Database Record (c) 2023 APA, all rights reserved) (Spanish) la pandemia de CoVid-19 cambio drasticamente diferentes aspectos de la vida cotidiana de millones de personas, generando un incremento del uso de internet para el mantenimiento del contacto social, el teletrabajo o los estudios online. en este articulo se evalua en que medida presento cambios el patron de conexion a internet durante el confinamiento por CoVid-19 en una muestra de adultos de cuatro paises de america latina, considerando el sexo y la edad. se propuso un estudio descriptivo, con diseno no probabilistico de muestreo por conveniencia. la muestra final quedo compuesta por 1488 participantes. el analisis muestra que los habitos de conexion a internet se modificaron en terminos de frecuencia, duracion y horarios, observandose diferencias en funcion del sexo y la edad. en mujeres son mayores los incrementos de uso para las distintas variables analizadas, especialmente para la frecuencia de conexion nocturna. en cuanto a la edad, a menor edad se observa un mayor aumento del tiempo de conexion a internet a lo largo del dia y de conexion en horario nocturno. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
In recent years, research in Child-Computer Interaction has shifted the focus from design with children, giving them a voice in the design process, to design by children to bring child participants different benefits, such as engagement and learning. However, design workshops, encompassing different stages, are challenging in terms of engagement and learning, e.g., they require prolonged commitment and concentration. They are potentially more challenging when held at a distance, as in recent years due to the COVID-19 pandemic. This paper explores at-a-distance smart-thing design by children, how it can engage different children and support their learning in programming. The paper reports a series of design workshops with 20 children, aged from 8 to 16 years old, all held at a distance. They were all organised with the DigiSNaP design framework and toolkit. The first workshop enabled children to explore what smart things are, to start ideating their own smart things and to scaffold their programming. The other workshops enabled children to evolve their own smart-thing ideas and programs. Data were gathered in relation to children's engagement and learning from different sources. Results are promising for future editions of smart-thing design at a distance or in a hybrid modality. They are discussed along with guidelines for smart-thing design by children at a distance. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
The present study, an expert review, aimed to discuss the emerging challenges of overcoming COVID-19 from the perspective of human factors and the importance of cognitive ergonomics in helping to cope with the epidemic. Identifying these challenges and the use of cognitive ergonomics to optimize human well-being and system performance can be effective in managing COVID-19. Generally, two main preventive approaches such as social distancing and patient care or treatment approaches are being utilized in response to COVID-19. In this paper, human factors challenges that could emerge from covid-19 preventive approaches were discussed. Social distancing forces presence and increases automated systems that lead to increases in cognitive needs, mental workload, stress, etc. Challenges of treatment and health care include the increased workload of healthcare personnel, stress, changing work systems and task allocation that led to fatigue and stress, threats to patient safety, and disruption of interpersonal interactions from a cognitive ergonomic perspective. It is concluded that the challenges of coping with COVID-19 were numerous and important from the perspective of human factors and the role of cognitive ergonomics is important in controlling the disease;hence, it should be taken into consideration.
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Introduction: Since the enactment of the revised Pharmaceutical Affairs Act in Japan in 2009, self-medication practices have increased in the country. However, studies report that consumers pay little attention to the medication facts and risks indicated on the packages of over-the-counter (OTC) medicines, which could be a potential risk. Since the COVID-19 pandemic, the digital transformation of purchasing OTC medicines has progressed. As an appropriate design for the digital transformation is likely to improve consumers' literacy and them obtaining medical information, this study systematically examines Japanese consumers' attitudes toward the digital transformation of OTC medicine purchase behavior and its correlation to eHealth literacy, exploring an appropriate digital experience design in purchasing OTC medicine. Methods: Participants from the Greater Tokyo Area of Japan participated in an online survey. Consumers' current behavior and preferences in accessing OTC medicine, receiving medication guidance, and obtaining medical information were examined. eHealth literacy was assessed using the J-eHEALS. Descriptive statistics, text mining, and thematic analysis were conducted to answer research questions. Results: Over 89% of the respondents who had experience in purchasing OTC medicines preferred local pharmacies or stores rather than online purchasing, p < 0.001. Obtaining medicine guidance in pharmacies or stores was the main preference over other approaches, p < 0.001. Furthermore, most of the participants accepted selecting medicine on shelves and digital screens in-store. However, they were accustomed to using smartphones to obtain additional information at the pharmacy or drug store, p < 0.001; this behavior was positively correlated with eHealth literacy, p < 0.001. Conclusions: Japanese consumers are seeking a combination of conventional and digital behaviors for purchasing OTC medicine rather than opting for a particular method. Most consumers prefer purchasing and receiving instructions in-store while searching for additional decision-making information online. eHealth literacy is positively associated with digital behaviors of OTC medicine information acquisition but less associated with medicine purchases and selections. The hybrid digital experience design may enhance the OTC medicine purchase experience and reduce potential risks by providing appropriate information.
ABSTRACT
The surgical working environment has changed considerably since the World Health Organisation (WHO) declared the coronavirus outbreak, COVID-19 (SARS-CoV-2), a pandemic on 11 March 2020. Measures remain in place to reduce the risk of spread from patients to surgeons, nosocomial infection and amongst healthcare workers. However, despite these protective measures, healthcare staff are at risk with the number of health workforce deaths increasing worldwide. This article sets out to explore the roles and responsibilities of the surgeon during these extraordinary times and discuss how we can improve our practice to reduce the risk of harm to patients, surgical staff, and ourselves. (c) 2021 The British Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.
ABSTRACT
Educational Technology (EdTech) lacks a foundational, formal, scientific, epistemic theory. Therefore, it lacks native constructs/variables and an epistemological object of study for scientifically deploying its work. This study determines the existence (ontology) of the theorized constructs Instructional Usability (UsI) and Learner-User eXperience (LUX) and defines their characterization (epistemology). Both constructs were modeled and instrumented. Furthermore, a Tech-Instructionality Model (TIM) was theorized and developed in this paper, both analytically and empirically. The model integrates UsI and LUX as two pairs of constructs linked with two EdTech epistemological objects of study, the instructional interface and the instructional interaction in two assessment modalities, testing mode (user-learner view) and inspection mode (expert/designer view). Two instruments were developed and validated in this study for testing mode, the Instructional Usability Scale (SUsI) and the Learner-User eXperience Questionnaire (QLUX). Both instruments were tested in a non-immersive virtual reality educational milieu during the academic lockdown of the Covid19 pandemic. The results show that both SUsI and QLUX consistently measured UsI and LUX, thus, providing a valid assessment for tech-instructionality and a foundation for constructing a scientific theory of EdTech. © 2023 IEEE.
ABSTRACT
With public transport (PT) continuing to be negatively affected by the coronavirus pandemic and private car usage surging, alternative modes need to be considered. In this study, we review the available evidence (from academic and gray literature sources) on the performance of bike sharing systems (BSSs) during COVID-19 around the world, with the goal of assessing their potential contribution to improving the resilience of transport systems during pandemics and similar disruptive events. We found BSS usage followed a decrease-rebound pattern, with BSSs overall sustaining lower ridership declines and faster recoveries compared with PT. During lockdowns especially, the average duration of BSS trips increased, following a rise in casual users and leisure trips, while commuting trips decreased. Evidence has also been found for a possible modal shift from some PT users to BSSs, with a decline in the share of multimodal trips conducted between PT and BSSs. Bike sharing is perceived as safer than other shared modes (e.g., PT, taxis, and ride-hailing/sharing) but as having a higher infection risk than personal modes (e.g., private car, walking, and personal bike). Moreover, the BSS was an important transport alternative for essential workers, with several operators providing waivers especially to healthcare staff, leading to ridership increases near healthcare facilities and in deprived neighborhoods. Findings from this research support policies for promoting bike sharing, namely through fee reductions, system expansions, and symbiotic integration with PT, as BSSs can increase the sustainability and resilience of transport systems during disruptive public health events like COVID-19.
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Bikesharing is a popular transportation mode for people to commute, for leisurely travel, or for recreation purposes in their daily tasks. Throughout 2020, the COVID-19 pandemic had significant impacts on bikeshare usage in the United States. Previous studies show that the pandemic negatively affected bikeshare activity patterns. To examine the effects of the pandemic on bikeshare behavior across membership types, this study investigated trip volume-and trip duration patterns of both members and nonmembers of five bikeshare systems across the United States. The results showed that member ridership significantly decreased throughout the pandemic, but nonmember ridership tended to be stable. It was also found that trip durations increased across both groups throughout the pandemic. Additionally, inferences were made to determine the level of support for a reversion to prepandemic normality as the pandemic progressed and reopening occurred in phases. The findings from this study could benefit bikeshare agencies in developing postpandemic recovery strategies. © National Academy of Sciences: Transportation Research Board 2021.
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As people increasingly communicate via live video-even more since the COVID-19 pandemic-how willing will they be to participate via video in large-scale standardized surveys that inform public policy, many of which have historically been carried out in-person? This registered report tests three potential predictors of willingness to participate in a live video interview: How (a) easy, (b) useful, and (c) enjoyable respondents find live video to use in other contexts. A potential survey-specific moderator of these effects is also tested: The extent to which respondents report that they would be uncomfortable answering a particular question on a sensitive topic via live video relative to other survey modes. In the study, 598 online U.S. respondents rated their willingness to take part in a hypothetical live video survey that might ask about personal information, in the context of also rating their willingness to take part in four other survey modes, two interviewer-administered (in-person and telephone) and two self-administered (a text-only web survey and a "prerecorded video" web survey in which respondents play videos of interviewers reading questions and then enter answers). Findings demonstrate that willingness to participate in a live video interview is significantly predicted by the extent to which respondents perceive live video as useful and enjoyable in other contexts and by their relative discomfort disclosing in live video versus other modes. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
The history of humankind has been a battle against infectious diseases, and highly lethal viral infections have appeared many times. Even in Japan, one-fourth of the population was lost due to smallpox during the Nara period. In the modern era, effective vaccines and drugs were developed, and everyone was optimistic that infectious diseases could be eradicated from the earth by the end of the 20th century. However, infectious diseases such as AIDS, influenza, SARS, and MERS emerged. In particular, the novel coronavirus pandemic that occurred in Wuhan, China, at the end of 2019 exposed the vulnerability of modern society to infectious diseases. Furthermore, infectious diseases are undergoing significant changes due to human factors such as globalization and the destruction of nature. In this review, I would like to outline the infectious diseases that humans have experienced so far and introduce the fight against the new coronavirus and future infectious disease countermeasures.Alternate :抄録人類の歴史は感染症との戦いであり、致死性の高いウイルス感染症が幾度となく出現し、日本でも奈良時代に天然痘により当時の日本の人口の4分の1が失われた。近代に入ると有効なワクチンや薬剤が開発され、20世紀中には地球上から感染症を根絶できると誰もが楽観視していたが、エイズ、インフルエンザ、SARS、MERS等の感染症が出現し、特に、2019年の暮れに中国武漢で発生した新型コロナウイルスのパンデミックは猖獗を極め、現代社会がいかに感染症に対して無力であるかを思い知らされた。さらに、グローバリゼーションや自然破壊等の人的要因によって感染症は大きく変容している。本稿では、これまでに人類が経験した感染症を概説し、新型コロナウイルスとの戦い、そして今後の感染症対策について解説したい。
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Using a unique triangulation of a mixed-methods approach combining qualitative and observational techniques, this research investigated international student perceptions of the usability, interactivity and inclusiveness of a university website. The research was guided by the activity theory. Qualitative data were analysed to understand international student perceptions of usability and interactivity in relation to their intentions to use the university website. Additionally, findings established the significance of making university websites more inclusive as international students continue to face increasing uncertainties owing to the COVID-19 pandemic and racial inequalities in the USA and worldwide. Observational methods provided methodological and data triangulation. This research offers guidance for future research on higher education digital learning tools based on integrated theoretical mixed methods and also provides managerial implications for academic institutions in the design of student-centred and inclusive websites. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
This work investigated the impacts of COVID-19 on pedestrian behavior, answering two research questions using pedestrian push-button data from Utah traffic signals: How did push-button utilization change during the early pandemic, owing to concerns over disease spread through high-touch surfaces? How did the accuracy of pedestrian volume estimation models (developed pre-COVID based on push-button traffic signal data) change during the early pandemic? To answer these questions, we first recorded videos, counted pedestrians, and collected push-button data from traffic signal controllers at 11 intersections in Utah in 2019 and 2020. We then compared changes in push-button presses per pedestrian (to measure utilization), as well as model prediction errors (to measure accuracy), between the two years. Our first hypothesis of decreased push-button utilization was partially supported. The changes in utilization at most (seven) signals were not statistically significant; yet, the aggregate results (using 10 of 11 signals) saw a decrease from 2.1 to 1.5 presses per person. Our second hypothesis of no degradation of model accuracy was supported. There was no statistically significant change in accuracy when aggregating across nine signals, and the models were actually more accurate in 2020 for the other two signals. Overall, we concluded that COVID-19 did not significantly deter people from using push-buttons at most signals in Utah, and that the pedestrian volume estimation methods developed in 2019 probably do not need to be recalibrated to work for COVID conditions. This information may be useful for public health actions, signal operations, and pedestrian planning.
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The COVID-19 pandemic has dramatically altered people's travel behavior, in particular outdoor activities, including walking. Their behavior changes may have prolonged effects after the pandemic, and such changes vary by the context and are related to the characteristics of the built environment. But empirical studies about the relationships between pedestrians and the built environment during the pandemic are lacking. This study explores how COVID-19 and related travel restrictions have affected the relationship between pedestrian traffic volume and the built environment. We estimate daily pedestrian volumes for all signalized intersections in Salt Lake County, Utah, U.S.A., from pedestrian push-button log data between January 2019 and October 2020. Multilevel spatial filtering models show that the COVID-19 pandemic has altered the relationship between pedestrian traffic volume and the built environment. During the pandemic, the higher the number of COVID-19 cases, the less (or more negative) the effects of density, street connectivity, and destination accessibility on pedestrian volume being observed. The exception is access to urban parks, as it became more significant in increasing pedestrian activities during the pandemic. The models also highlight the negative impacts of the pandemic in economically disadvantaged areas. Our findings could help urban and transportation planners find effective interventions to promote active transportation and physical activity amid the global pandemic.
ABSTRACT
COVID-19 had a disruptive effect on the global community. This study looks at the effects that the stringent lockdown measures enacted in March 2020 had on motorists' driving patterns. In particular, given the greater portability of remote working associated with the drastic decline in personal mobility, it is hypothesized that these may have served as accelerators for distracted and aggressive driving. To answer these questions, an online survey was conducted in which 103 respondents were asked to report on their own and other drivers' driving behavior. While respondents agreed they drove less frequently, they also indicated that they were not prone to more aggressive driving or engaging in potentially distracting activities whether for work or personal purposes. When asked to report on other motorists' behavior, however, respondents indicated they had witnessed more aggressive and distracting drivers on the road after March 2020 relative to the time before the pandemic. These findings are reconciled with the existing literature on self-monitoring and self-enhancement bias, and the existing literature on the effect of comparable large-scale, disruptive events on traffic patterns is used to discuss the hypothesis on how driving patterns may change after the pandemic.
ABSTRACT
The perioperative environment is complex and marked by high degree of safety hazards. Patients continue to suffer from medication harm despite 40 years of research;anesthesia providers have been slow to recognize the implications and acknowledge the extent of the problem. A medication error is any mistake in the intended use of a medication (eg, wrong medication, wrong dose, or infusion of the wrong medication into the wrong place). The perioperative period is a high-risk setting for such errors. This chapter focuses on prevention of medication errors in the perioperative setting. We review what medication adverse events are, and how often and where these errors occur, as well as exploring human cognitive psychology and explaining why things can go wrong at any time in a complex system. The goal is to aid surgical team members to better appreciate the complexity and human factors risks of the medication use process. Despite advances in safety practices, the perioperative medication administration remains one of the most vulnerable for unsafe patient outcomes due to several reasons. For example, the intraoperative medication process—managed primarily by anesthesia providers—lacks key safety guardrails enjoyed by practitioners in other areas of the hospital. Medications are primarily ordered, dispensed, prepared, administered, and monitored by the same anesthesia provider, removing the potential for valuable safety checks by other clinicians such as pharmacists and nurses. Additional factors also contribute to this safety vulnerability including, but not limited to, poorly designed technology and user interfaces, uncertainty of patient information, cognitively demanding tasks and a lack of appropriate support, poor teamwork, ambiguous communication, inadequate work coordination, and a poor unit culture. Utmost attention should be paid to the context and culture of the perioperative care environment. Not taking this into consideration will likely undermine medication safety technology implementation including the willingness to report on near misses and harmful events. Continuous participation of clinicians is essential during all steps of technology design to ensure meaningful appreciation of the complex challenges and risk trade-offs, in implementing new technology. Increasing interprofessional collaboration will also be key to enhance medication safety in the perioperative setting. Often, clinicians from diverse backgrounds such as pharmacists, nurses and physicians, will have different goals and expectations with respect to achieving safety and the means to achieve these goals. This is partly attributed to the differences in socialization and disciplinary culture, norms, and how clinicians are trained within their respective fields of study. The Covid-19 pandemic has challenged patient safety and introduced communication and process breakdowns. The fact that the pandemic degraded patient safety so quickly and severely suggests that our health care system lacks a sufficiently resilient safety culture and infrastructure.
ABSTRACT
Disposable surgical face masks are designed to block the airborne transmission of infectious viruses between patients and healthcare personnel;however, there are limitations to a surgical mask's ability to prevent transmissions because the mask does not provide an airtight seal around the face. This study focuses on the design and development of a custom mask frame, using individuals' three-dimensional (3D) facial scans, to improve the seal of the existing surgical masks. Three participants' facial scans with a wide range of facial dimensions were collected using a 3D hand-held scanner. During design, the contact area between the custom frame and the wearer's skin was determined based on the individual's 3D facial shape. To evaluate the effectiveness of the airtight seal, a qualitative fit (smell/taste) test kit and thermal imaging camera were utilized. When the participants wore the surgical masks without the customized mask frames, the participants smelled the saccharine scent from the test kit. However, while wearing the surgical masks fitted with the custom mask frame that held the mask in place, none of the participants could smell the scent. In addition, thermal images showed ambient temperature changes in the surgical mask suggesting air leakage around the boundary of the mask while the subject was inhaling and exhaling. With the mask frame, thermal images confirmed the effectiveness of the custom frame to block the inflow/outflow of air potentially carrying the virus. The results indicate that the custom-built mask frames are effective in providing a proper and much improved seal compared to a surgical mask without the frame. The developed custom mask frame will be particularly beneficial for frontline medical staff members who treat patients with infectious viruses transmitted through aerosols as part of their PPE.
ABSTRACT
The global pandemic has significantly accelerated the need for remote monitoring and diagnostics of airline operations and assets. As passenger and cargo flights are impacted from all directions, maintenance can be the steady, reliable part of the puzzle that helps get things back on track. This chapter explores the aircraft safety challenges that can be addressed with better maintenance technology and human factor modeling. Aircraft safety relies heavily on maintenance. During the COVID-19 recovery phase, airline operators need to focus on the application of a robust management of change process to implement better maintenance technology, identify new aircraft safety risks, determine effective mitigation measures, and implement strategies for deploying changes accordingly. For years aircraft maintenance routines have been carried out in the same manner without change, now with international travel restrictions, social distancing, reduced staff, and limited maintenance funding, the need for smarter ways of doing maintenance is obvious. In this regard smart technology has an important role to play. For instance, IoT data generates the capacity for predictive aircraft maintenance, AI introduces the capacity for smart, deep-learning machines to make predictive maintenance more accurate, actionable, and automatic. AI-enabled predictive maintenance leverages IoT data to predict and prevent aircraft failures. While smart technology enhances aircraft safety through better maintenance performance on the one hand, there are technical and human factor problems induced by COVID-19 on the other. The Safe Aircraft System (SAS) model, based on the Dirty Dozen and SHELL human factor models, is an initiative proposed to minimize such COVID-19 problems. This work shows through a case illustration that SAS modeling is a useful tool in identifying potential hazards/consequences associated with any major or minor changes in flight operations. Hence the synergistic effect of smart maintenance and the SAS model in enhancing aircraft system safety are demonstrated. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Artificial intelligence (AI) technology plays a crucial role in infectious disease outbreak prediction and control. Many human interventions can influence the spread of epidemics, including government responses, quarantine, and economic support. However, most previous AI-based models have failed to consider human interventions when predicting the trend of infectious diseases. This study selected four human intervention factors that may affect COVID-19 transmission, examined their relationship to epidemic cases, and developed a multivariate long short-term memory network model (M-LSTM) incorporating human intervention factors. Firstly, we analyzed the correlations and lagged effects between four human factors and epidemic cases in three representative countries, and found that these four factors typically delayed the epidemic case data by approximately 15 days. On this basis, a multivariate epidemic prediction model (M-LSTM) was developed. The model prediction results show that coupling human intervention factors generally improves model performance, but adding certain intervention factors also results in lower performance. Overall, a multivariate deep learning model with coupled variable correlation and lag outperformed other comparative models, and thus validated its effectiveness in predicting infectious diseases.
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As the world opens up from the clutches of the pandemic to heightened demand for goods and services, businesses inextricably interconnected globally are coping to meet this demand due to worker shortages. In honor of Peter Keen, this editorial offers insight into how the quest for global talent can be addressed. Our work on how knowledge networking enables innovation through the creation of talent pools and the Global Capability Sourcing (GCS) model are combined to offer a view into addressing this challenge. The GCS explains why wages are declining for some skills while rising for others and asks: what role does a company most effectively play in the global sourcing economy? When workers are free to choose where and when they offer their services, the development imperative comes into effect. The development imperative is freedom of choice and can occur through innovation in talent pools stimulated through knowledge networking. When people have greater freedom and capabilities to improve their knowledge and skills, their incomes increase along with the range of choices and capabilities enjoyed by their households and governments. The papers in this issue add to what is known about how digital competency can be stimulated through investments in ICT training programs, how innovations take place in the development context and insights into conducting context-sensitive research. (PsycInfo Database Record (c) 2023 APA, all rights reserved)