Jessica N Burgeno
Biographic Data
| ID | 10282545 |
|---|---|
| NAME | Jessica N Burgeno |
| GIVEN NAMES | Jessica N |
| FAMILY NAME | Burgeno |
| SIGNATURE | BURGENO J N |
| AFFILIATIONS | University of Washington |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
The Impact of Forecast Inconsistency and Probabilistic Forecasts on Users’ Trust and Decision-Making
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…
The Effects of Consistency among Simultaneous Forecasts on Weather-Related Decisions
People access weather forecasts from multiple sources [mobile telephone applications (“apps”), newspapers, and television] that are not always in agreement for a particular weather event. The experiment reported here investigated the effects of inconsistency among forecasts on user trust, weather-related decisions, and confidence in user decisions. In a computerized task, participants made school-closure decisions on the basis of snow forecasts f…
The Impact of Weather Forecast Inconsistency on User Trust
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…
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The Impact of Weather Forecast Inconsistency on User Trust
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…
The Effects of Consistency among Simultaneous Forecasts on Weather-Related Decisions
People access weather forecasts from multiple sources [mobile telephone applications (“apps”), newspapers, and television] that are not always in agreement for a particular weather event. The experiment reported here investigated the effects of inconsistency among forecasts on user trust, weather-related decisions, and confidence in user decisions. In a computerized task, participants made school-closure decisions on the basis of snow forecasts f…
The Impact of Forecast Inconsistency and Probabilistic Forecasts on Users’ Trust and Decision-Making
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…
Computer Science (3 works) · Decision-Making and Behavioral Economics (3 works) · Econometrics (3 works) · Economics (3 works) · Forecasting Techniques and Applications (3 works) · Artificial Intelligence (2 works) · Climate Change Communication and Perception (2 works) · Consensus forecast (2 works) · Actuarial science (1 work) · Advertising (1 work)