Non-expert interpretations of hurricane forecast uncertainty visualizations
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 diff...
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| Vydané v: | Spatial cognition and computation Ročník 16; číslo 2; s. 154 - 172 |
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| Hlavní autori: | , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Taylor & Francis
02.04.2016
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| ISSN: | 1387-5868, 1542-7633 |
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| 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. |
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| AbstractList | 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. |
| Author | Heydari, Nahal Creem-Regehr, Sarah H. Ruginski, Ian T. House, Donald H. Hegarty, Mary Padilla, Lace M. Kramer, Heidi S. Thompson, William B. Boone, Alexander P. Liu, Le |
| Author_xml | – sequence: 1 givenname: Ian T. surname: Ruginski fullname: Ruginski, Ian T. email: Ian.Ruginski@psych.utah.edu organization: Department of Psychology, University of Utah – sequence: 2 givenname: Alexander P. surname: Boone fullname: Boone, Alexander P. organization: Department of Psychological & Brain Sciences, University of California Santa Barbara – sequence: 3 givenname: Lace M. surname: Padilla fullname: Padilla, Lace M. organization: Department of Psychology, University of Utah – sequence: 4 givenname: Le surname: Liu fullname: Liu, Le organization: School of Computing, Clemson University – sequence: 5 givenname: Nahal surname: Heydari fullname: Heydari, Nahal organization: Department of Psychological & Brain Sciences, University of California Santa Barbara – sequence: 6 givenname: Heidi S. surname: Kramer fullname: Kramer, Heidi S. organization: Division of Epidemiology, University of Utah – sequence: 7 givenname: Mary surname: Hegarty fullname: Hegarty, Mary organization: Department of Psychological & Brain Sciences, University of California Santa Barbara – sequence: 8 givenname: William B. surname: Thompson fullname: Thompson, William B. organization: School of Computing, University of Utah – sequence: 9 givenname: Donald H. surname: House fullname: House, Donald H. organization: School of Computing, Clemson University – sequence: 10 givenname: Sarah H. surname: Creem-Regehr fullname: Creem-Regehr, Sarah H. organization: Department of Psychology, University of Utah |
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| Title | Non-expert interpretations of hurricane forecast uncertainty visualizations |
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