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Large crowds in public transit stations and vehicles introduce obstacles for wayfinding, hygiene, and physical distancing. Public displays that currently provide on-site transit information could also provide critical crowdedness information. Therefore, we examined people's crowd perceptions and information preferences before and during the pandemic, and designs for visualizing crowdedness to passengers. We first report survey results with public transit users (n = 303), including the usability results of three crowdedness visualization concepts. Then, we present two animated crowd simulations on public displays that we evaluated in a field study (n = 44). We found that passengers react very positively to crowding information, especially before boarding a vehicle. Visualizing the exact physical spaces occupied on transit vehicles was most useful for avoiding crowded areas. However, visualizing the overall fullness of vehicles was the easiest to understand. We discuss design implications for communicating crowding information to support decision-making and promote a sense of safety. © 2023 ACM.
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Under the current complex economic situation and the impact of COVID-19, China's capital market reform has entered a critical period, with opportunities and challenges coexisting. One of the important challenges is how to improve the well-being of investors in capital markets. Financial education, which has been offered by financial institutions in many countries in recent years, is likely to become an effective policy instrument to meet this challenge. Using survey data of individual investors from China, this study examines the potential impact of financial education programs offered by financial institutions on individuals' investment diversification. The results show financial education is positively associated with the investment diversification of individual investors. An analysis of the underlying mechanism shows that financial education contributes to the improvement of investment diversification by mitigating limited attention bias, strengthening social trust, and promoting the use of professional investment advisors. These findings suggest that the persistent promotion of financial education programs has a positive effect on optimizing financial asset allocation decisions and improving financial welfare of Chinese households. [ FROM AUTHOR] Copyright of Journal of the Asia Pacific Economy is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Objectives: This study aims to evaluate the impact of the stay-at-home orders, especially closing and reopening bars and other drinking establishments, on binge drinking patterns in US populations in Metropolitan Statistical Areas (MSAs). Method(s): Data on binge drinking and heavy binge drinking for this study was extracted from the 2018-2021 Behavioral Risk Factor Surveillance System (BRFSS). Data on regulations were collected by National Academy for State Health Policy. We used two staggered differences-in-differences strategies to account for monthly variations in bar regulations. We implemented a strategy that used never treated states as controls via the Stata package CSDID and a strategy that directly imputed counterfactuals for treated states via the Stata package FECT. The outcomes were measured by the number of binge drinkers or heavy binge drinkers per 1000 population. The treatment effect was estimated while controlling for age, income level, race, chronic conditions, gender, MSA fixed effects, and month fixed effects. Stay-at-home orders were coded as 1 in the first full month of implementation and were assumed to impact the entire state equally. Bars were assumed to reopen if the indoor service has been reactivated at any capacity. Result(s): For heavy binge drinking, the average treatment effect on the treated group was 4.86 per 1000 population (p=0.027) using FECT package and 6.74 per 1000 population (p = 0.025) using CSDID package. No significant effect was found for binge drinking. Conclusion(s): We provide suggestive evidence that stay-at-home orders may have increased heavy binge drinking in metropolitan areas. We estimated this led to a 3.38% (FECT) or 4.68% (CSDID) increase in heavy binge drinking during the pandemic. Future work will assess the characteristics of areas that saw the greatest increase in heavy binge drinking, and explore why heavy binge drinkers were more vulnerable than binge drinkers during the Covid.Copyright © 2023
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A hybrid workstyle is becoming more common post-COVID-19, and longer occupancy hours at home are increasing household electricity consumption. Small homes are regarded as a potential for improving energy efficiency in the residential sector, and a home consists of mixed-function spaces with dynamic occupancy behaviors. These underpin the opportunity to optimize presence sensing lighting in small homes for energy efficiency and user-behavioral needs. A comprehensive overview of presence sensing approaches, comparing four types of non-wearable sensors connected to home lighting is made. A bibliometric mapping of the reviewed literature visually reinforces a significant research gap that presence sensing studies were not connected to home lighting but inclined toward the commercial and institutional context. Next, a non-exhaustive example of commercially available presence sensing products applicable to residential lighting for small homes is analyzed, and their general characteristics and technologies are synthesized. The literature and product overview identified five significant product knowledge gaps. Incorporating the gathered information leads to the proposal of a conceptual flexible radar-based sensor (prototype design), addressing a wish list with three important criteria to optimize future presence sensing lighting in a mixed-function small home. Future radar sensing studies are expected to develop an anticipatory lighting system that processes real-time multi-user vital signals for smarter localized and personalized lighting options for (small) living environments.
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There is a paucity of research on the role of food delivery apps (FDAs) in food waste generation. This gap needs to be addressed since FDAs represent a fast-growing segment of the hospitality sector, which is already considered to be a key food waste generator globally. Even more critically, FDAs have become a prominent source of ordering food during the COVID-19 pandemic. In addition, the growing usage of FDAs warrants an improved understanding of the complexities of consumer behavior toward them, particularly during a health crisis. The present study addresses this need by examining the antecedents of FDA users' food ordering behavior during the pandemic that can lead to food waste. The study theorizes that hygiene consciousness impacts the enablers and barriers to FDA usage, which, in turn, shape the attitude toward FDAs and the tendency to order more food than required, i.e., shopping routine. The conceptual model, based on behavioral reasoning theory, was tested using data collected from 440 users of FDAs during the pandemic. The results support a positive association of trust and price advantage with attitude, but only of trust with shopping routine. Perceived severity and moral norms did not moderate any associations. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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With the outbreak of COVID-19, the Chinese government implemented the "zero-COVID” policy as a measure to curb the spread of the virus. The different measures of the policy include widespread testing, contact tracing, and strict quarantine and isolation protocols. In view of recent changes in COVID-19 trends and other economic indicators, the Chinese government withdrew significant provisions of the zero-COVID policy in China. The present study investigates the sectoral performance of the Chinese stock market after the withdrawal of the zero-COVID policy. The study considers eighteen sectoral indices of the Shenzhen Stock Exchange of China as a sample and applies the event study methodology to study the impact of the policy withdrawal on the stock prices performance. The results of the study indicate that sectors such as hotel, consumer staples, the financial sector, real estate, media, and culture have reported significant positive movement after the withdrawal of the zero-COVID policy, while other sectors such as consumer discretionary, energy, healthcare, information technology, manufacturing, mining, technology, telecom, transportation, utilities, wholesale, and retail have shown insignificant reactions. These results also indicate that when the COVID-19 outbreak happened in China, different sectors of the economy reacted negatively except the retail and wholesale sectors, while with the withdrawal of the zero-COVID policy by the Chinese government, the reaction of investors is optimistic as different sectors are reporting either positive reactions in the stock price movement or no reaction. © Prashant Sharma, Surender Kumar, 2023.
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This paper provides a critical overview of Design for Sustainability (DfS) and Design for Well-Being practices as, today, sustainability, human behavior, and well-being are inextricably linked. We present a case study in response to a pharmaceutical company brief about cosmetic self-production packaging. Since the research takes place during the first lockdown due to Covid-19, it depicts quite a complex and extensive desk phase and a limited field phase. The research is approached on two levels. First, is the intention to change the way we interact with the packaging. As a container of elements, packaging can be a resource on all levels, not only because we can recycle it but also because we can replant it. In this way, we would return part of what had been taken away to the environment while also improving the product's life cycle. Thus, packaging becomes "behavioral”, producing and stimulating conscious behavior and motivating end-users while also educating them about environmental norms. Second, the Critical Design method traces the connections between DfS and Design for Well-being by leveraging the two practices within product design, clarifying the role of the designer in this transdisciplinary integration. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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The widespread of (covid-19) has become the major reason for many physical illnesses in addition to psychological encounters to the whole world. The psychological challenges brought in due to the Covid-19 pandemic have resulted in decrease in the learning curve of students to a very large extent risking the academic ability of students due to psychological/mental health. Hence it is a challenge to identify valid cues for disorientation in the learning ability of the student at the right time and to suggest necessary support and guidance. This paper aims to describe about the work done so far and analyzes the future challenges to be addressed based on the learning curve of a student and gives an insight of how a student can be identified to be psychologically disturbed. © 2023 IEEE.
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Behavioral Finance is considered the new era of finance. Supported by its assumptions, this work aimed to detect and compare the levels of risk aversion in financial decisions of two groups of health professionals: one composed of those exposed to emergency situations (front line in the care of Covid-19 patients) and the other composed of those who work in non-urgent conventional hospital situations. With the application of a questionnaire to professionals from both groups, responses were obtained that made it possible to test the hypothesis that work in emergency situations generates a different influence on the feeling of risk aversion than conventional non-urgent hospital work. The results of the statistical analysis and the chi-square test revealed that there is a small difference in risk aversion between professionals in both groups, without showing, however, statistical significance. The results also revealed evidence that professionals who act/acted on the frontline against Covid19, in situations of gain, accepted to take greater risks, aiming at greater financial reward. The results also revealed evidence that professionals who act/acted on the frontline against Covid19, in situations of gain, accepted to take greater risks, aiming at greater financial reward. In situations involving losses, these same professionals were more risk averse than those in the other group.
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Knowledge payment is a new method of electronic learning that has developed in the era of social media. With the impact of the COVID-19 pandemic, the market for knowledge payment is rapidly expanding. Exploring the factors that influence users' sustained willingness is beneficial for better communication between knowledge payment platforms and users, and for achieving a healthier and more sustainable development of the knowledge payment industry. The model of unsustainable usage behavior of knowledge payment users was constructed on the basis of expectation inconsistency theory, price equilibrium theory, and perceived value theory, using the 'cognitive-emotional-behavioral' model framework of cognitive emotion theory. The data were collected from 348 users through a web-based questionnaire and analyzed using structural equation modeling. Findings show that expectation inconsistency, price equilibrium, and quality value, emotional value, and social value have significant effects on discontinuous use intentions. Discontinuous use intentions also significantly affect discontinuous use behavior. © 2013 IEEE.
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Introduction: Lung cancer is the leading cause of cancer-related death in the US with an estimated 236,740 new cases and 130,180 deaths expected in 2022. While early detection with low-dose computed tomography reduces lung cancer mortality by at least 20%, there has been a low uptake of lung cancer screening (LCS) use in the US. The COVID-19 pandemic caused significant disruption in cancer screening. Yet, little is known about how COVID-19 impacted already low use of LCS. This study aims to estimate LCS use before (2019) and during (2020 and 2021) the COVID-19 pandemic among LCS-eligible population in the US. Method(s): We used population-based, nationally representative, cross-section data from the 2019 (n=4,484), 2020 (n=1,239) and 2021 (n=1,673) Behavioral Risk Factor Surveillance System, Lung Cancer Screening module. The outcome was self-reported LCS use among eligible adults in the past 12 months. For 2019 and 2020, the eligibility was defined based on US Preventive Services Task Force (USPSTF) initial criteria-adults aged 55 to 80 years old, who were current and former smokers (had quit within the past 15 years) with at least 30 pack years of smoking history. For 2021, we used the USPSTF updated criteria- adults aged 50 to 80 years, current and former smokers (who had quit within the past 15 years) with at least 20 pack years of smoking history. We applied sampling weights to account for the complex survey design to generate population estimates and conducted weighted descriptive statistics and logistic regression models. Result(s): Overall, there were an estimated 1,559,137 LCS-eligible respondents from 16 US states in 2019 (AZ, ID, KY, ME, MN, MS, MT, NC, ND, PA, RI, SC, UT, VT, WV, WI), 200,301 LCS-eligible respondents from five states in 2020 (DE, ME, NJ, ND, SD), and 668,359 LCS-eligible respondents from four states in 2021 (ME, MI, NJ, RI). Among 2,427,797 LCS-eligible adults, 254,890;38,875;and 122,240 individuals reported receiving LCS in 2019, 2020 and 2021, respectively. Overall, 16.4% (95% CI 14.4-18.5), 19.4% (95% CI 15.3-24.3), and 18.3% (95% CI 15.6-21.3) received LCS during 2019, 2020, and 2021, respectively. In all years, the proportion of LCS use was higher among adults aged 65-74, insured, those with fair and poor health, lung disease and history of cancer (other than lung cancer). In 2020, a higher proportion of adults living in urban areas reported receiving LCS compared to those living in rural areas (20.36% vs. 12.7%, p=0.01). Compared to non-Hispanic White adults, the odds of receiving LCS was lower among Hispanic adults and higher among Non-Hispanic American Indian/Alaskan Native adults in 2020 and 2021, respectively. Conclusion(s): LCS uptake remains low in the US. An estimated 2,011,792 adults at high-risk for developing lung cancer did not receive LCS during 2019, 2020 and 2021. Efforts should be focused to increase LCS awareness and uptake across the US to reduce lung cancer burden.
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This research aims to determine whether there is a change in the amount of tip for drivers by customers during the COVID-19 pandemic compared to before the pandemic and to find out the customers' motives in tipping drivers during the COVID 19 pandemic. The research employs a quantitative approach through survey methods. The scale measurement technique uses the Likert scale and Interval scale. The number of respondents in this research are 453 Indonesian who use online motorcycle taxi service application. The data obtained were analyzed using SPSS through descriptive statistical analysis and multiple linear regression. The results show that most of the respondents tipped more amount during the COVID-19 pandemic than the amount of tip they gave before the pandemic. Giving a tip to drivers by customers was driven by several motives/ reasons in the following order: a customer has the nature of wanting to help others without expecting to get rewards (altruism), wants to follow and obey applicable social norms (social norms), wants to give a reward for the satisfaction obtained from good service (reward positively), and wants to maintain social status and increase self-esteem in the social environment (social esteem).
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After the coronavirus outbreak, the disease known as COVID-19 has been infecting millions of people, and the number of deaths is pilling up to hundreds of thousands. In Indonesia, especially Jakarta, some of the deaths are caused by pandemic-related surges that strain hospital capacity. Besides, people had many obstacles in this pandemic condition because of the lack of knowledge about COVID-19. On that matter, several models emerged worldwide to help inform public decision making in this pandemic situation. With today's technological advances the CHIME (COVID-19 Hospital Impact Model for Epidemics) application is designed to assist hospitals and public health officials with understanding hospital capacity needs as they relate to the COVID pandemic. This paper aims to help inform public health decision making regarding the transmission of COVID-19 in Jakarta using CHIME. This work uses Jakarta COVID-19 data from November 24th, 2021 and its accumulation from 14 days before (November 10th, 2021) to predict the course of COVID-19 in 30 days. With ArcGIS Pro and ArcGIS Experience, this work successfully made a map that uses CHIME to inform about peak demand of each city in DKI Jakarta and the daily new admissions and hospitalization graph. In addition, a Jakarta COVID-19 dashboard is also made to inform more about the transmission of COVID-19. © 2022 IEEE.
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To discuss the decision-making scheme of crowding risk management during the COVID-19 pandemic, this paper constructs an evolutionary game model based on the changes of pedestrian and government strategies, and simulates the strategy selection under different states. The results show that under the condition of pedestrian rationality, when the difference between the benefits and costs of the government's active response strategy is less than the benefits of inaction, the government will choose the strategy of inaction. If the benefit of rational action is less than the additional benefit of irrational action, pedestrians will choose irrational action. By establishing the replication dynamic equations of governments and pedestrians, the stability strategy of the system is analyzed. It is found that the values of R1, R2, R3, R4, R5, C1, C2, C3, C4, C5, C6, C7 will affect the strategy choices of the players, and how to measure the benefits and costs under different circumstances becomes the key to the problem. These findings provide a theoretical basis for the risk control decision of human crowding during the COVID-19 epidemic. © 2023 SPIE.
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The development of the COVID-19 epidemic has increased the home learning time of children. More researchers began to pay attention to children's learning in home. This survey reviewed the frontier and classic cases in the field of interactive design of children's home learning in the past five years, analyzed tangible user interface, augmented reality, and multimodal interaction in human-computer interaction of children's home learning. This paper reviewed the application of interactive system in children's learning and points out its positive side in development of ability, process of learning, habits of learning, and environment of learning of children. Through analysis, we advise that it is necessary to create home learning applications, link smart home systems, and build an interactive learning environment for smart home learning environment design. Finally, we point out the technical and ethical problems existing in the current research, proposes that intelligent perception, emotion recognition, and expression technologies should be introduced in the future, and looks forward to the development of this field. © 2023 Institute of Computing Technology. All rights reserved.
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The COVID-19 pandemic has had a significant impact on human behaviors and how it influenced peoples' interests in cultural products is an unsolved problem. While prior studies mostly adopt subjective surveys to find an answer, these methods are always suffering from high cost, limited size, and subjective bias. Inspired by the rich user-oriented data over the Internet, this work explores the possibility to leverage users' search logs to reflect humans' underlying cultural product interests. To further examine how the COVID-19 mobility policy might influence cultural interest changes, we propose a new regression discontinuity design that has the additional potential to predict the recovery phase of peoples' cultural product interests. By analyzing the 1592 search interest time series in 6 countries, we found different patterns of change in interest in movies, music, and art during the COVID-19 pandemic, but a clear overall incremental increase. Across the six countries we studied, we found that changes in interest in cultural products were found to be strongly correlated with mobility and that as mobility declined, interest in movies, music, and art increased by an average of 35, 27 and 20, respectively, with these changes lasting at least eight weeks. © 2023 ACM.
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Right now, people's knowledge is wrapped up in a lot of noise. [...]this is a conversation that isn't a one-size-fits-all, and requires us to not only combine forces as an industry, but to be consistent in our messaging, and keeping in mind that we need to personalize the conversation with patients in order to stay engaged. The tactics are the last thing;by doing the upfront work and understanding the patient, adding in the evidence, and getting to that conversation blueprint, that allows us to build tactics that are going to have more meaningful effects on the ability to not only motivate a patient to participate, but to maintain that motivation throughout the trial.
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The COVID-19 pandemic, caused by the novel coronavirus, has had a significant impact on daily life, education, business, and trade. The virus spreads quickly through direct contact with droplets, fecal-oral transmission, and water contamination. The consequences of the pandemic can be classified into three categories: health, economic, and social. The physical, mental, and psychological behaviors of individuals have also changed due to the pandemic. This study aimed to assess the impact of COVID-19 on the general population. A survey questionnaire with ten questions was distributed through an online portal, and the responses were analyzed using SPSS software. The results showed that healthcare workers were among the most affected, with the primary impact on their social and psychological well-being. Although previous research suggested that all fields were equally affected, this study found that healthcare workers were the most impacted group. The study concluded that the COVID-19 pandemic had a significant impact on the social and psychological well-being of the general population, with healthcare workers being the most affected. © 2023 IEEE.
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This chapter discusses social disability and impairment in childhood anxiety. The chapter starts with a discussion of clinical characteristics of the condition. Approaches to evidence-based assessment and cognitive-behavioral treatment are discussed. Future directions are highlighted. © Springer Nature Switzerland AG 2011, 2023. All rights reserved.
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COVID-19 has brought increasing health care challenges upon providers throughout the country, let alone military healthcare professionals. Behavioral telehealth applications in the United States date back to the 1950s in Nebraska rural state-run mental health hospitals and clinics. Drs James and Folen developed innovative behavioral telehealth in the mid-to-late-1990s since there was a paucity of behavioral telehealth clinical applications and research from the 1960s to the early 1990s. Then, the need to deliver behavioral health services via telehealth platforms became of critical importance as our military and veteran hospitals needed to offer services in response to the COVID-19 health crisis. In this chapter, the authors will define behavioral telehealth and provide the reader with examples of clinical and research applications as well as discuss potential ethical and practical challenges. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.