Back to Search Start Over

Non-expert interpretations of hurricane forecast uncertainty visualizations.

Authors :
Ruginski, Ian T.
Boone, Alexander P.
Padilla, Lace M.
Liu, Le
Heydari, Nahal
Kramer, Heidi S.
Hegarty, Mary
Thompson, William B.
House, Donald H.
Creem-Regehr, Sarah H.
Source :
Spatial Cognition & Computation; 2016, Vol. 16 Issue 2, p154-172, 19p
Publication Year :
2016

Abstract

Uncertainty represented in visualizations is often ignored or misunderstood by the non-expert user. The National Hurricane Center displays hurricane forecasts using a track forecast cone, depicting the expected track of the storm and the uncertainty in the forecast. Our goal was to test whether different graphical displays of a hurricane forecast containing uncertainty would influence a decision about storm characteristics. Participants viewed one of five different visualization types. Three varied the currently used forecast cone, one presented a track with no uncertainty, and one presented an ensemble of multiple possible hurricane tracks. Results show that individuals make different decisions using uncertainty visualizations with different visual properties, demonstrating that basic visual properties must be considered in visualization design and communication. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13875868
Volume :
16
Issue :
2
Database :
Complementary Index
Journal :
Spatial Cognition & Computation
Publication Type :
Academic Journal
Accession number :
114016349
Full Text :
https://doi.org/10.1080/13875868.2015.1137577