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Search: WFRF:(Han Hyemin)

  • Result 1-6 of 6
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1.
  • 2019
  • Journal article (peer-reviewed)
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2.
  • Blackburn, Angélique M., et al. (author)
  • Mediation analysis of conspiratorial thinking and anti-expert sentiments on vaccine willingness
  • 2023
  • In: Health Psychology. - : American Psychological Association (APA). - 0278-6133 .- 1930-7810. ; 42:4, s. 235-246
  • Journal article (peer-reviewed)abstract
    • Objective: Vaccines are an effective means to reduce the spread of diseases, but they are sometimes met with hesitancy that needs to be understood. Method: In this study, we analyzed data from a large, cross-country survey conducted between June and August 2021 in 43 countries (N = 15,740) to investigate the roles of trust in government and science in shaping vaccine attitudes and willingness to be vaccinated. Results: Despite significant variability between countries, we found that both forms of institutional trust were associated with a higher willingness to receive a COVID-19 vaccine. Furthermore, we found that conspiratorial thinking and anti-expert sentiments predicted reduced trust in government and science, respectively, and that trust mediated the relationship between these two constructs and ultimate vaccine attitudes. Although most countries displayed similar relationships between conspiratorial thinking and anti-expert sentiments, trust in government and science, and vaccine attitudes, we identified three countries (Brazil, Honduras, and Russia) that demonstrated significantly altered associations between the examined variables in terms of significant random slopes. Conclusions: Cross-country differences suggest that local governments’ support for COVID-19 prevention policies can influence populations’ vaccine attitudes. These findings provide insight for policymakers to develop interventions aiming to increase trust in the institutions involved in the vaccination process.
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3.
  • Kristan, Matej, et al. (author)
  • The Visual Object Tracking VOT2015 challenge results
  • 2015
  • In: Proceedings 2015 IEEE International Conference on Computer Vision Workshops ICCVW 2015. - : IEEE. - 9780769557205 ; , s. 564-586
  • Conference paper (peer-reviewed)abstract
    • The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2015 challenge that go beyond its VOT2014 predecessor are: (i) a new VOT2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2014 evaluation methodology by introduction of a new performance measure. The dataset, the evaluation kit as well as the results are publicly available at the challenge website(1).
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4.
  • Kristan, Matej, et al. (author)
  • The Visual Object Tracking VOT2016 Challenge Results
  • 2016
  • In: COMPUTER VISION - ECCV 2016 WORKSHOPS, PT II. - Cham : SPRINGER INT PUBLISHING AG. - 9783319488813 - 9783319488806 ; , s. 777-823
  • Conference paper (peer-reviewed)abstract
    • The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment.
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5.
  • Lieberoth, Andreas, et al. (author)
  • Stress and worry in the 2020 coronavirus pandemic : relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global survey
  • 2021
  • In: Royal Society Open Science. - : The Royal Society Publishing. - 2054-5703. ; 8:2
  • Journal article (peer-reviewed)abstract
    • The COVIDiSTRESS global survey collects data on early human responses to the 2020 COVID-19 pandemic from 173 429 respondents in 48 countries. The open science study was co-designed by an international consortium of researchers to investigate how psychological responses differ across countries and cultures, and how this has impacted behaviour, coping and trust in government efforts to slow the spread of the virus. Starting in March 2020, COVIDiSTRESS leveraged the convenience of unpaid online recruitment to generate public data. The objective of the present analysis is to understand relationships between psychological responses in the early months of global coronavirus restrictions and help understand how different government measures succeed or fail in changing public behaviour. There were variations between and within countries. Although Western Europeans registered as more concerned over COVID-19, more stressed, and having slightly more trust in the governments' efforts, there was no clear geographical pattern in compliance with behavioural measures. Detailed plots illustrating between-countries differences are provided. Using both traditional and Bayesian analyses, we found that individuals who worried about getting sick worked harder to protect themselves and others. However, concern about the coronavirus itself did not account for all of the variances in experienced stress during the early months of COVID-19 restrictions. More alarmingly, such stress was associated with less compliance. Further, those most concerned over the coronavirus trusted in government measures primarily where policies were strict. While concern over a disease is a source of mental distress, other factors including strictness of protective measures, social support and personal lockdown conditions must also be taken into consideration to fully appreciate the psychological impact of COVID-19 and to understand why some people fail to follow behavioural guidelines intended to protect themselves and others from infection. The Stage 1 manuscript associated with this submission received in-principle acceptance (IPA) on 18 May 2020. Following IPA, the accepted Stage 1 version of the manuscript was preregistered on the Open Science Framework at https://osf.io/g2t3b. This preregistration was performed prior to data analysis.
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6.
  • Yamada, Yuki, et al. (author)
  • COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak
  • 2021
  • In: Scientific Data. - : Springer. - 2052-4463. ; 8:1
  • Journal article (peer-reviewed)abstract
    • This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.
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  • Result 1-6 of 6
Type of publication
journal article (4)
conference paper (2)
Type of content
peer-reviewed (6)
Author/Editor
Han, Hyemin (4)
Sikka, Pilleriin (3)
Lang, Jochen (2)
Khan, Fahad (2)
Valstar, Michel (2)
Li, Xin (2)
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Li, Yang (2)
Felsberg, Michael (2)
Torr, Philip H.S. (2)
Zhang, Zhe (2)
Milfont, Taciano L. (2)
Qin, Lei (2)
Häger, Gustav (2)
Danelljan, Martin (2)
Stöckli, Sabrina (2)
Jeftić, Alma (2)
Becker, Stefan (2)
Gupta, Abhinav (2)
Tang, Ming (2)
Matas, Jiri (2)
Gao, Jin (2)
Bowden, Richard (2)
Kristan, Matej (2)
Leonardis, Ales (2)
Cehovin, Luka (2)
Fernandez, Gustavo (2)
Vojır, Tomas (2)
Pflugfelder, Roman (2)
Lukezic, Alan (2)
Solıs Montero, Andre ... (2)
Du, Dawei (2)
Porikli, Fatih (2)
Zhu, Gao (2)
Li, Hongdong (2)
Qi, Honggang (2)
Jeong, Jae-chan (2)
Cho, Jae-il (2)
Zhu, Jianke (2)
Feng, Jiayi (2)
Kim, Ji-Wan (2)
Martinez, Jose M. (2)
Wen, Longyin (2)
Bertinetto, Luca (2)
Arens, Michael (2)
Miksik, Ondrej (2)
Martin-Nieto, Rafael (2)
Laganiere, Robert (2)
Lyu, Siwei (2)
Golodetz, Stuart (2)
Choi, Sunglok (2)
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University
University of Skövde (3)
Linköping University (2)
University of Gothenburg (1)
Uppsala University (1)
Halmstad University (1)
Stockholm University (1)
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Lund University (1)
Chalmers University of Technology (1)
Karolinska Institutet (1)
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Language
English (6)
Research subject (UKÄ/SCB)
Medical and Health Sciences (5)
Natural sciences (3)
Social Sciences (3)
Engineering and Technology (1)

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