Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Sonia Savelli"'
Publikováno v:
Vaccines, Vol 12, Iss 9, p 1066 (2024)
Vaccine hesitancy was a serious problem in the United States throughout the COVID-19 pandemic, due in part to the reduction in public trust in science that accompanied the pandemic. Now we are facing a new, similar but more extensive problem: booster
Externí odkaz:
https://doaj.org/article/9f2889d58f7a4de68e051888de086c68
Autor:
Susan Joslyn, Sonia Savelli
Publikováno v:
Frontiers in Computer Science, Vol 4 (2022)
Externí odkaz:
https://doaj.org/article/224eceb78ff44abd8aa7ccde520ff680
Visualizing Uncertainty for Non-Expert End Users: The Challenge of the Deterministic Construal Error
Autor:
Susan Joslyn, Sonia Savelli
Publikováno v:
Frontiers in Computer Science, Vol 2 (2021)
There is a growing body of evidence that numerical uncertainty expressions can be used by non-experts to improve decision quality. Moreover, there is some evidence that similar advantages extend to graphic expressions of uncertainty. However, visuali
Externí odkaz:
https://doaj.org/article/cebd478f05b948179153ebeecab55cf7
Publikováno v:
Journal of Experimental Psychology: Applied.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::788dc6e2ca3996e792a3c367f7c2ef7f
https://doi.org/10.1037/xap0000464
https://doi.org/10.1037/xap0000464
Autor:
Susan Joslyn, Sonia Savelli, Horacio A. Duarte, Jessica Burgeno, Chao Qin, Jee Hoon Han, Gala Gulacsik
Publikováno v:
Journal of Experimental Psychology: Applied. 27:599-620
Critical to limiting the spread of Coronavirus disease 2019 (COVID-19) and future pandemics is compliance with behavioral recommendations such as mask wearing and social distancing. Compliance may depend upon understanding the seriousness of the heal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::274bae81975efff31ee2b322c01cfcc5
https://doi.org/10.1037/xap0000398
https://doi.org/10.1037/xap0000398
Autor:
Susan Joslyn, Sonia Savelli
Publikováno v:
Applied Cognitive Psychology. 27:527-541
Summary Three experiments demonstrated advantages over conventional deterministic forecasts for participants making temperature estimates and precautionary decisions with predictive interval weather forecasts showing the upper and lower boundaries wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96b8ceb43c3a3de9d0cf065f0082e188
https://doi.org/10.1002/acp.2932
https://doi.org/10.1002/acp.2932
The Benefits and Challenges of Predictive Interval Forecasts and Verification Graphics for End Users
Publikováno v:
Weather, Climate, and Society. 5:133-147
Two behavioral experiments tested the use of predictive interval forecasts and verification graphics by nonexpert end users. Most participants were able to use a simple key to understand a predictive interval graphic, showing a bracket to indicate th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a241d80169692e99005bc5f9e425a38c
https://doi.org/10.1175/wcas-d-12-00007.1
https://doi.org/10.1175/wcas-d-12-00007.1
Autor:
Sonia Savelli, Susan Joslyn
Publikováno v:
Weather, Climate, and Society. 4:7-19
Recreational boaters in the Pacific Northwest understand that there is uncertainty inherent in deterministic forecasts as well as some of the factors that increase uncertainty. This was determined in an online survey of 166 boaters in the Puget Sound
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8beb61c22ce7c6fcad639ae32beb6110
https://doi.org/10.1175/wcas-d-11-00025.1
https://doi.org/10.1175/wcas-d-11-00025.1
Publikováno v:
Journal of Experimental Psychology: Applied. 17:342-353
Many weather forecast providers believe that forecast uncertainty in the form of the worst-case scenario would be useful for general public end users. We tested this suggestion in 4 studies using realistic weather-related decision tasks involving hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a99c018d318605013dd30cfdbded5600
https://doi.org/10.1037/a0025901
https://doi.org/10.1037/a0025901
Autor:
Sonia Savelli, Susan Joslyn
Publikováno v:
Meteorological Applications. 17:180-195
The general public understands that there is uncertainty inherent in deterministic forecasts as well as understanding some of the factors that increase uncertainty. This was determined in an online survey of 1340 residents of Washington and Oregon, U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2aa0d689e1644b32e16d4dbb88b9f84
https://doi.org/10.1002/met.190
https://doi.org/10.1002/met.190