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1. Urban Park Usage During the COVID-19 Pandemic

   https://doi.org/10.1142/S2345737621500081  

   Alizadehtazi, Bita; Tangtrakul, Korin; Woerdeman, Sloane; Gussenhoven, Anna; Mostafavi, Nariman; Montalto, Franco A. (December 2020, Journal of Extreme Events)

   null (Ed.)

   Urban parks and green spaces provide a wide range of ecosystem services, including social interaction and stress reduction. When COVID-19 closed schools and businesses and restricted social gatherings, parks became one of the few places that urban residents were permitted to visit outside their homes. With a focus on Philadelphia, PA and New York City, NY, this paper presents a snapshot of the park usage during the early phases of the pandemic. Forty-three Civic Scientists were employed by the research team to observe usage in 22 different parks selected to represent low and high social vulnerability, and low, medium, and high population density. Despite speculation that parks could contribute to the spread of COVID-19, no strong correlation was found between the number of confirmed COVID-19 cases in adjacent zip codes and the number of park users. High social vulnerability neighborhoods were associated with a significantly higher number of COVID-19 cases ([Formula: see text]). In addition, no significant difference in the number of park users was detected between parks in high and low vulnerability neighborhoods. The number of park users did significantly increase with population density in both cities ([Formula: see text]), though usage varied greatly by park. Males were more frequently observed than females in parks in both high vulnerability and high-density neighborhoods. Although high vulnerability neighborhoods reported higher COVID-19 cases, residents of Philadelphia and New York City appear to have been undeterred from visiting parks during this phase of the pandemic. This snapshot study provides no evidence to support closing parks during the pandemic. To the contrary, people continued to visit parks throughout the study, underscoring their evident value as respite for urban residents during the early phases of the pandemic. 

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2. How do I feel when I think about taking action? Hope and boredom, not anxiety and helplessness, predict intentions to take climate action

   https://doi.org/10.1016/j.jenvp.2021.101649  

   Geiger, N.; Swim, J. K.; Gasper, K.; Fraser, J.; Flinner, K. (August 2021, Journal of environmental psychology)

   null (Ed.)

   This research examines the extent to which four anticipatory emotional reactions (hope, anxiety, helplessness, and boredom) that arise when contemplating participating in public-sphere climate action predict intentions to engage in such action. In a large, geographically diverse sample of American adults visiting informal science learning centers (e.g., zoos, aquariums; N = 4964), stronger feelings of hope robustly predicted greater intentions to act (η2p = .22, a large effect); whereas stronger feelings of boredom robustly predicted decreased intention to act (η2p = .09, a medium effect). Both of these feelings had significantly more predictive power than political orientation (η2p = .04, a small-to-medium effect). The extent to which respondents felt anxious or helpless was not strongly correlated with their intentions to take action (η2ps ≈ 0.01, a small effect). These findings highlight the underexplored connection between how people feel when they contemplate taking climate action and their intentions to engage in such action. 

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3. Death of a Robot: Social Media Reactions and Language Usage when a Robot Stops Operating

   https://doi.org/10.1145/3319502.3374794  

   Carter, Elizabeth J.; Reig, Samantha; Tan, Xiang Zhi; Laput, Gierad; Rosenthal, Stephanie; Steinfeld, Aaron (March 2020, Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction)

   People take to social media to share their thoughts, joys, and sorrows. A recent popular trend has been to support and mourn people and pets that have died as well as other objects that have suffered catastrophic damage. As several popular robots have been discontinued, including the Opportunity Rover, Jibo, and Kuri, we are interested in how language used to mourn these robots compares to that to mourn people, animals, and other objects. We performed a study in which we asked participants to categorize deidentified Twitter reactions as referencing the death of a person, an animal, a robot, or another object. Most reactions were labeled as being about humans, which suggests that people use similar language to describe feelings for animate and inanimate entities. We used a natural language toolkit to analyze language from a larger set of tweets. A majority of tweets about Opportunity included second-person ("you") and gendered third-person pronouns (she/he versus it), but terms like "R.I.P" were reserved almost exclusively for humans and animals. Our findings suggest that people verbally mourn robots similarly to living things, but reserve some language for people. 

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4. A Typology of Perceived Triggers for End-User Security and Privacy Behaviors

   Das, Sauvik; Dabbish, Laura A; Hong, Jason I. (January 2019, USENIX Symposium on Usable Privacy and Security (SOUPS))

   What triggers end-user security and privacy (S&P) behaviors? How do those triggers vary across individuals? When and how do people share their S&P behavior changes? Prior work, in usable security and persuasive design, suggests that answering these questions is critical if we are to design systems that encourage pro-S&P behaviors. Accordingly, we asked 852 online survey respondents about their most recent S&P behaviors (n = 1947), what led up to those behaviors, and if they shared those behaviors. We found that social “triggers”, where people interacted with or observed others, were most common, followed by proactive triggers, where people acted absent of an external stimulus, and lastly by forced triggers, where people were forced to act. People from different age groups, nationalities, and levels of security behavioral intention (SBI) all varied in which triggers were dominant. Most importantly, people with low-to-medium SBI most commonly reported social triggers. Furthermore, participants were four times more likely to share their behavior changes with others when they, themselves, reported a social trigger. 

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5. Feelings of Culpability: Just Following Orders Versus Making the Decision Oneself

   https://doi.org/10.1177/09567976211002821  

   Malter, Maayan_S; Kim, Sonia_S; Metcalfe, Janet (April 2021, Psychological Science)

   In five experiments ( N = 1,490), participants were asked to imagine themselves as programmers of self-driving cars who had to decide how to program the car to respond in a potential accident: spare the driver or spare pedestrians. Alternatively, participants imagined that they were a mayor grappling with difficult moral dilemmas concerning COVID-19. Either they, themselves, had to decide how to program the car or which COVID-19 policy to implement (high-agency condition) or they were told by their superior how to act (low-agency condition). After learning that a tragic outcome occurred because of their action, participants reported their felt culpability. Although we expected people to feel less culpable about the outcome if they acted in accordance with their superior’s injunction than if they made the decision themselves, participants actually felt more culpable when they followed their superior’s order. Some possible reasons for this counterintuitive finding are discussed. 

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