Susan L Joslyn

Dados Biográficos

ID10282197
NOMESusan L Joslyn
PRENOMESSusan L
SOBRENOMEJoslyn
ASSINATURAJOSLYN S L
AFILIAÇÕESUniversity of Washington
VERIFICADONão
TOTAL DE OBRAS4
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2020
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H0

  • The Impact of Forecast Inconsistency and Probabilistic Forecasts on Users’ Trust and Decision-Making

    Open AccessJessica N Burgeno, Susan Joslyn et al.ARTICLEWeather, Climate, and Society2023

    When forecasts for a major weather event begin days in advance, updates may be more accurate but inconsistent with the original forecast. Evidence suggests that resulting inconsistency may reduce user trust. However, adding an uncertainty estimate to the forecast may attenuate any loss of trust due to forecast inconsistency, as has been shown with forecast inaccuracy. To evaluate this hypothesis, this experiment tested the impact on trust of addi…

  • Do Advisories, Warnings, or Color Coding Matter to Risk Perception and Precautionary Decisions

    Open AccessGala Gulacsik, Susan Joslyn et al.ARTICLEWeather, Climate, and Society2022

    There are lingering questions about the effectiveness of the watch, warning, and advisory system (WWA) used to convey weather threats in the United States. Recently there has been a shift toward alternative communication strategies such as the impact-based forecast. The study reported here compared users’ interpretation of a color-coded impact-based prototype designed for email briefings, to a legacy WWA format. Participants, including emergency …

  • Communicating Uncertainty Information in a Dynamic Decision Environment

    Gala Gulacsik, Susan Joslyn et al.ARTICLEWeather, Climate, and Society2022

    The likelihood of threatening events is often simplified for members of the public and presented as risk categories such as the “watches” and “warnings” currently issued by National Weather Service in the United States. However, research (e.g., Joslyn and LeClerc) suggests that explicit numeric uncertainty information—for example, 30%—improves people’s understanding as well as their decisions. Whether this benefit extends to dynamic situations in…

  • The Impact of Weather Forecast Inconsistency on User Trust

    Jessica N Burgeno, Susan Joslyn et al.ARTICLEWeather, Climate, and Society2020

    For high-impact weather events, forecasts often start days in advance. Forecasters believe that consistency among subsequent forecasts is important to user trust and can be reluctant to make changes when newer, potentially more accurate information becomes available. However, to date, there is little empirical evidence for an effect of inconsistency among weather forecasts on user trust, although the reduction in trust due to inaccuracy is well d…