Holly O. Witteman|Andrea Fuhrel-Forbis|Harindra C. Wijeysundera|Nicole Exe|Mark A. Dickson|Lisa Holtzman|Valerie C. Kahn|Brian J. Zikmund?Fisher
Animated Randomness, Avatars, Movement, and Personalization in Risk Graphics
University of Michigan–Ann Arbor|Université Laval|Centre Hospitalier Universitaire de Québec|University of Michigan–Ann Arbor|University of Toronto|Sunnybrook Health Science Centre|Health Sciences Centre|University of Michigan–Ann Arbor|University of Michigan–Ann Arbor|Rippel Foundation|University of Michigan–Ann Arbor|University of Michigan–Ann Arbor|University of Michigan–Ann Arbor
risk communication involves conveying two inherently difficult concepts nature risk underlying random distribution outcomes populationbased proportion applies individualthe objective study test whether 4 design factors icon arraysanimated random dispersal risk events avatars represent individual personalization operationalized choosing avatars color moving avatarmight help convey randomness given risk applies individual thereby better aligning risk perceptions risk estimatesa diverse sample 3630 adults previous heart disease stroke completed online nested factorial experiment entered personal health data risk calculator estimated 10year risk cardiovascular disease based robust validated model randomly assigned view results 1 10 risk graphics used different combinations 4 design factors measured participants risk perceptions primary outcome well behavioral intentions recall risk estimate also assessed subjective numeracy whether participants knew anyone died cardiovascular causes whether knew blood pressure cholesterol potential moderatorsanimated randomness associated better alignment risk estimates risk perceptions f13576612 p01 however also led lower scores healthy lifestyle intentions f13572111 p001 using avatar increased risk perceptions overall f13576461 p03 significantly increased risk perceptions among know particular person experienced grave outcomes cardiovascular disease f13576588 p02 using avatar also better aligned actual risk estimates intentions see doctor f13556638 p01 design factors main effects recall animated randomness associated better recall lower risk worse recall higher risk f13544706 p01animated randomness may help people better understand random nature risk however context cardiovascular risk understanding may result lower healthy lifestyle intentions therefore whether display randomness may depend whether ones goal persuade inform avatars show promise helping people grasp populationbased statistics map individual case