dc.contributor.author | Pope, ECD | |
dc.contributor.author | Buontempo, C | |
dc.contributor.author | Economou, T | |
dc.date.accessioned | 2017-06-13T12:02:23Z | |
dc.date.issued | 2017-06-12 | |
dc.description.abstract | The growing attention user relevance is receiving in the context of climate services is giving new light to engagement activities. However, while there is an almost unanimous consensus that these are important to the delivery of usable services, there is relatively little quantitative evidence of their impact on the usefulness of the service or its value as perceived by the users and decision-makers. Using a simple Bayesian decision theoretic framework, we have analysed how the perceived value of the service changes as a function of the user’s belief in the accuracy of the forecast. Based on this, we conclude, that, at least for the generic users adopted for our analysis, 30 or more repeated forecasts may be needed to ascertain the real user value of a predictive service. However, we argue that engagement between users and service providers can play a significant role in modifying the perceived accuracy and value of the service, bringing it closer in line with the objective evaluation. This requires feedback from users on both the specific climate information content and its presentation, alongside exploring the user’s attitude to risk. If appropriate engagement can be achieved, this work suggests that it has the potential to alter the overall perceived cost-benefit ratio over a relatively short period of time, enabling users to make best use of the available climate information. | en_GB |
dc.description.sponsorship | This work was supported by the Joint DECC/Defra Met Office Hadley Centre Climate Programme (GA01101). The authors wish to acknowledge all of those who contributed indirectly to the development of the EUPORIAS winter transport prototype (Seasonal Prototype: Risk of Impacts from NAO on Transport; http://sprint.euporias.eu/), through scientific discussion, review, data provision, stakeholder engagement and facilitation: Erika Palin, Adam Scaife, Anca Brookshaw, Alberto Arribas, and the UK Department for Transport-led stakeholder group.
The UK Government Department for Transport is acknowledged for providing financial support, in parallel to that received from EUPORIAS, for the SPRINT prototype.
EUPORIAS was funded by the European Commission through the 7th Framework Programme for Research, grant agreement 308291. | en_GB |
dc.identifier.citation | Available online 12 June 2017 | en_GB |
dc.identifier.doi | 10.1016/j.cliser.2017.06.006 | |
dc.identifier.uri | http://hdl.handle.net/10871/28000 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | (c) 2017 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://
creativecommons.org/licenses/by-nc-nd/4.0/). | en_GB |
dc.subject | Decision theory | en_GB |
dc.subject | Bayesian framework | en_GB |
dc.subject | Value of forecasts | en_GB |
dc.subject | Climate services | en_GB |
dc.title | Quantifying how user-interaction can modify the perception of the value of climate information: A Bayesian approach | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2017-06-13T12:02:23Z | |
dc.identifier.issn | 2405-8807 | |
dc.description | Article | en_GB |
dc.description | This is the final version of the article. Available from Elsevier via the DOI in this record. | en_GB |
dc.identifier.journal | Climate Services | en_GB |