55 research outputs found
How to (actually) save time while working remotely
The pandemic has given many of us the opportunity to ditch the commute and work from home long-term, offering huge potential time savings. But to truly reap the benefits of remote work during the current crisis and beyond, we need to think proactively about how we restructure our workday in this new normal. The authors suggest six concrete, research-backed actions you can take today to create clearer work-life boundaries and optimize how you spend your time
A multicountry perspective on gender differences in time use during COVID-19
The COVID-19 pandemic has fundamentally altered how people spend time, with possible consequences for subjective well-being. Using diverse samples from the United States, Canada, Denmark, Brazil, and Spain (n = 31,141), following a preregistered analytic plan, and employing both mega- and meta-analyses, we find consistent gender differences in time spent on necessities. During the pandemic, women—especially mothers—spent more time on tasks such as childcare and household chores. To the extent that women spent more time on chores than men, they reported lower happiness. These data represent one of the most rigorous investigations of gender differences in time use during the forced lockdowns created by the COVID-19 pandemic, and point toward individual differences that should be considered when designing policies now and post–COVID-19
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The Link Between Income, Income Inequality, and Prosocial Behavior Around the World
Abstract. The questions of whether high-income individuals are more prosocial than low-income individuals and whether income inequality moderates this effect have received extensive attention. We shed new light on this topic by analyzing a large-scale dataset with a representative sample of respondents from 133 countries ( N = 948,837). We conduct a multiverse analysis with 30 statistical models: 15 models predicting the likelihood of donating money to charity and 15 models predicting the likelihood of volunteering time to an organization. Across all model specifications, high-income individuals were more likely to donate their money and volunteer their time than low-income individuals. High-income individuals were more likely to engage in prosocial behavior under high (vs. low) income inequality. Avenues for future research and potential mechanisms are discussed. </jats:p
The effects of retirement on sense of purpose in life : crisis or opportunity?
Does retirement lead to an existential crisis or present an opportunity to experience a renewed sense of purpose in life? Prior research has documented a negative association between retirement and sense of purpose in life, suggesting that retirement could lead people to feel aimless and lost. We revisited these findings using a quasiexperimental approach and identified the causal impact of retirement on purpose in life. In a nationally representative panel of American adults (N = 8,113), we applied an instrumental-variable analysis to assess how Social Security retirement incentives in the United States drove differences in the likelihood of retirement. Results showed a sizable increase in purpose in life as an outcome of retirement. These improvements were driven by individuals with lower socioeconomic status who retired from dissatisfying jobs. The findings suggest that retirement may provide an opportunity to experience a renewed sense of purpose, especially among socioeconomically disadvantaged populations
Income More Reliably Predicts Frequent Than Intense Happiness
There is widespread consensus that income and subjective well-being are linked, but when and why they are connected is subject to ongoing debate. We draw on prior research that distinguishes between the frequency and intensity of happiness to suggest that higher income is more consistently linked to how frequently individuals experience happiness than how intensely happy each episode is. This occurs in part because lower-income individuals spend more time engaged in passive leisure activities, reducing the frequency but not the intensity of positive affect. Notably, we demonstrate that only happiness frequency underlies the relationship between income and life satisfaction. Data from an experience sampling study (N = 394 participants, 34,958 daily responses), a preregistered cross-sectional study (N = 1,553), and a day reconstruction study (N = 13,437) provide empirical evidence for these ideas. Together, this research provides conceptual and empirical clarity into how income is related to happiness.</p
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Making a Difference Matters: Impact Unlocks the Emotional Benefits of Prosocial Spending
When does giving lead to happiness? Here, we present two studies demonstrating that the
emotional benefits of spending money on others (prosocial spending) are unleashed when
givers are aware of their positive impact. In Study 1, an experiment using real charitable
appeals, giving more money to charity led to higher levels of happiness only when participants gave to causes that explained how these funds are used to make a difference in the life of a recipient. In Study 2, participants were asked to reflect upon a time they spent money on themselves or on others in a way that either had a positive impact or had no impact. Participants who recalled a time they spent on others that had a positive impact were happiest. Together, these results suggest that highlighting the impact of prosocial spending can increase the emotional rewards of giving
Mapping the Scope of Software Interventions for Moderate Internet Use on Mobile Devices
ICT is expected to form 21% of global electricity demand in 2030, and history has shown that efficiency gains in Internet infrastructure aiming to curtail such impacts are far outstripped by the growth in data traffic. We need to reduce demand for Internet connectivity, yet encouraging moderate interactions with digital devices and online services could potentially benefit users. HCI designs have been suggested for moderate interactions and Internet usage, most commonly on smartphones - but it's currently unclear whether these interventions can actually be implemented and tested to understand the user and environmental impacts. In this paper, we review features for understanding and manipulating data traffic in accordance with the stock Android and iOS development libraries to better scope the potential for implementing moderate and sustainable digital experiences. Specifically, we outline the intervention features plausible for Android implementation, and we provide reasoning for why iOS is currently too restrictive
National identity predicts public health support during a global pandemic
Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national samples. Study 2 (N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic (r = −0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics.publishedVersio
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning
At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic.Peer reviewe
National identity predicts public health support during a global pandemic (vol 13, 517, 2022) : National identity predicts public health support during a global pandemic (Nature Communications, (2022), 13, 1, (517), 10.1038/s41467-021-27668-9)
Publisher Copyright: © The Author(s) 2022.In this article the author name ‘Agustin Ibanez’ was incorrectly written as ‘Augustin Ibanez’. The original article has been corrected.Peer reviewe
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