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Sökning: WFRF:(Vintr J)

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1.
  • Buchanan, E. M., et al. (författare)
  • The Psychological Science Accelerator's COVID-19 rapid-response dataset
  • 2023
  • Ingår i: Scientific Data. - : Springer Science and Business Media LLC. - 2052-4463. ; 10:1
  • Tidskriftsartikel (refereegranskat)abstract
    • In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data.
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  • Ruggeri, Kai, et al. (författare)
  • The globalizability of temporal discounting
  • 2022
  • Ingår i: Nature Human Behaviour. - : Springer Nature. - 2397-3374. ; 6:10, s. 1386-1397
  • Tidskriftsartikel (refereegranskat)abstract
    • Economic inequality is associated with preferences for smaller, immediate gains over larger, delayed ones. Such temporal discounting may feed into rising global inequality, yet it is unclear whether it is a function of choice preferences or norms, or rather the absence of sufficient resources for immediate needs. It is also not clear whether these reflect true differences in choice patterns between income groups. We tested temporal discounting and five intertemporal choice anomalies using local currencies and value standards in 61 countries (N = 13,629). Across a diverse sample, we found consistent, robust rates of choice anomalies. Lower-income groups were not significantly different, but economic inequality and broader financial circumstances were clearly correlated with population choice patterns. Ruggeri et al. find in a study of 61 countries that temporal discounting patterns are globally generalizable. Worse financial environments, greater inequality and high inflation are associated with extreme or inconsistent long-term decisions.
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  • Rachev, Nikolay R., et al. (författare)
  • Actively Open-Minded Thinking, Bullshit Receptivity, and Susceptibility to Framing Evaluating the Dual-Process Account in North America and Bulgaria
  • 2022
  • Ingår i: European Journal of Psychological Assessment. - : Hogrefe Publishing Group. - 1015-5759 .- 2151-2426. ; 38:6, s. 440-451
  • Tidskriftsartikel (refereegranskat)abstract
    • The framing effect occurs when different presentations of the same problem lead to predictably different preferences. The dual-process framework of higher cognition assumes that the effect violates rational principles, but alternative accounts and recent evidence have contested this interpretation. Contributing to this debate, we tested the dual-process assumption by investigating associations between susceptibility to framing and the willingness and ability to think in line with rational norms, conceptualized as actively open-minded thinking and pseudo-profound bullshit receptivity. We conducted two online studies among North American (N = 259) and Bulgarian (N = 248) university students and administered several framing problems within-subjects, presumably necessary for the associations to appear. Confirmatory factor analyses showed that susceptibility to framing was associated with decreased actively open-minded thinking and increased bullshit receptivity in both sites. Exploratory multi-group analyses demonstrated partial strong invariance and showed that the findings generalize across both sites in terms of direction and partially in terms of magnitude. These results broadly support the dual-process account of the framing effect. Our study further contributes to adapting existing measures to a novel setting and expanding the findings across borders and populations.
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  • Ruggeri, Kai, et al. (författare)
  • The general fault in our fault lines
  • 2021
  • Ingår i: Nature Human Behaviour. - : Springer Nature. - 2397-3374. ; 5:10, s. 1369-1380
  • Tidskriftsartikel (refereegranskat)abstract
    • Pervading global narratives suggest that political polarization is increasing, yet the accuracy of such group meta-perceptions has been drawn into question. A recent US study suggests that these beliefs are inaccurate and drive polarized beliefs about out-groups. However, it also found that informing people of inaccuracies reduces those negative beliefs. In this work, we explore whether these results generalize to other countries. To achieve this, we replicate two of the original experiments with 10,207 participants across 26 countries. We focus on local group divisions, which we refer to as fault lines. We find broad generalizability for both inaccurate meta-perceptions and reduced negative motive attribution through a simple disclosure intervention. We conclude that inaccurate and negative group meta-perceptions are exhibited in myriad contexts and that informing individuals of their misperceptions can yield positive benefits for intergroup relations. Such generalizability highlights a robust phenomenon with implications for political discourse worldwide.
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  • Vintr, Tomas, et al. (författare)
  • Natural Criteria for Comparison of Pedestrian Flow Forecasting Models
  • 2020
  • Ingår i: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). - : IEEE Press. - 9781728162133 - 9781728162126 ; , s. 11197-11204
  • Konferensbidrag (refereegranskat)abstract
    • Models of human behaviour, such as pedestrian flows, are beneficial for safe and efficient operation of mobile robots. We present a new methodology for benchmarking of pedestrian flow models based on the afforded safety of robot navigation in human-populated environments. While previous evaluations of pedestrian flow models focused on their predictive capabilities, we assess their ability to support safe path planning and scheduling. Using real-world datasets gathered continuously over several weeks, we benchmark state-of-theart pedestrian flow models, including both time-averaged and time-sensitive models. In the evaluation, we use the learned models to plan robot trajectories and then observe the number of times when the robot gets too close to humans, using a predefined social distance threshold. The experiments show that while traditional evaluation criteria based on model fidelity differ only marginally, the introduced criteria vary significantly depending on the model used, providing a natural interpretation of the expected safety of the system. For the time-averaged flow models, the number of encounters increases linearly with the percentage operating time of the robot, as might be reasonably expected. By contrast, for the time-sensitive models, the number of encounters grows sublinearly with the percentage operating time, by planning to avoid congested areas and times.
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  • Vintr, Tomas, et al. (författare)
  • Time-varying Pedestrian Flow Models for Service Robots
  • 2019
  • Ingår i: 2019 European Conference on Mobile Robots (ECMR). - : IEEE. - 9781728136059
  • Konferensbidrag (refereegranskat)abstract
    • We present a human-centric spatio-temporal model for service robots operating in densely populated environments for long time periods. The method integrates observations of pedestrians performed by a mobile robot at different locations and times into a memory efficient model, that represents the spatial layout of natural pedestrian flows and how they change over time. To represent temporal variations of the observed flows, our method does not model the time in a linear fashion, but by several dimensions wrapped into themselves. This representation of time can capture long-term (i.e. days to weeks) periodic patterns of peoples’ routines and habits. Knowledge of these patterns allows making long-term predictions of future human presence and walking directions, which can support mobile robot navigation in human-populated environments. Using datasets gathered by a robot for several weeks, we compare the model to state-of-the-art methods for pedestrian flow modelling.
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