Impact of COVID-19 forecast visualizations on pandemic risk perceptions

被引:17
|
作者
Padilla, Lace [1 ]
Hosseinpour, Helia [1 ]
Fygenson, Racquel [2 ]
Howell, Jennifer [3 ]
Chunara, Rumi [2 ]
Bertini, Enrico [2 ,4 ]
机构
[1] Univ Calif Merced, Cognit & Informat Sci Dept, Merced, CA 95340 USA
[2] NYU, Comp Sci & Engn Dept, New York, NY 74876 USA
[3] Univ Calif Merced, Psychol Sci Dept, Merced, CA 95340 USA
[4] Northeastern Univ, Comp Sci & Engn Dept, Boston, MA 02115 USA
基金
美国国家科学基金会;
关键词
CONFIDENCE-INTERVALS; UNCERTAINTY VISUALIZATION; HEALTH-RISK; COMMUNICATION; PERFORMANCE; ERROR; TESTS; POWER;
D O I
10.1038/s41598-022-05353-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
People worldwide use SARS-CoV-2 (COVID-19) visualizations to make life and death decisions about pandemic risks. Understanding how these visualizations influence risk perceptions to improve pandemic communication is crucial. To examine how COVID-19 visualizations influence risk perception, we conducted two experiments online in October and December of 2020 (N = 2549) where we presented participants with 34 visualization techniques (available at the time of publication on the CDC's website) of the same COVID-19 mortality data. We found that visualizing data using a cumulative scale consistently led to participants believing that they and others were at more risk than before viewing the visualizations. In contrast, visualizing the same data with a weekly incident scale led to variable changes in risk perceptions. Further, uncertainty forecast visualizations also affected risk perceptions, with visualizations showing six or more models increasing risk estimates more than the others tested. Differences between COVID-19 visualizations of the same data produce different risk perceptions, fundamentally changing viewers' interpretation of information.
引用
收藏
页数:14
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