%0 Journal Article %1 matzen2023numerical %A Matzen, L. E. %A Howell, B. C. %A Trumbo, M. S. %A Divis, K. M. %C Los Alamitos, CA, USA %D 2023 %I IEEE Computer Society %J IEEE Computer Graphics and Applications %K analysis costs decision information_making laboratories risk_perception task_visualization uncertainty visualization %N 05 %P 72-82 %R 10.1109/MCG.2023.3299875 %T Numerical and Visual Representations of Uncertainty Lead to Different Patterns of Decision Making %U https://arxiv.org/abs/2109.10529 %V 43 %X Although visualizations are a useful tool for helping people to understand information, they can also have unintended effects on human cognition. This is especially true for uncertain information, which is difficult for people to understand. Prior work has found that different methods of visualizing uncertain information can produce different patterns of decision making from users. However, uncertainty can also be represented via text or numerical information, and few studies have systematically compared these types of representations to visualizations of uncertainty. We present two experiments that compared visual representations of risk (icon arrays) to numerical representations (natural frequencies) in a wildfire evacuation task. Like prior studies, we found that different types of visual cues led to different patterns of decision making. In addition, our comparison of visual and numerical representations of risk found that people were more likely to evacuate when they saw visualizations than when they saw numerical representations. These experiments reinforce the idea that design choices are not neutral: seemingly minor differences in how information is represented can have important impacts on human risk perception and decision making.

@article{matzen2023numerical, abstract = {Although visualizations are a useful tool for helping people to understand information, they can also have unintended effects on human cognition. This is especially true for uncertain information, which is difficult for people to understand. Prior work has found that different methods of visualizing uncertain information can produce different patterns of decision making from users. However, uncertainty can also be represented via text or numerical information, and few studies have systematically compared these types of representations to visualizations of uncertainty. We present two experiments that compared visual representations of risk (icon arrays) to numerical representations (natural frequencies) in a wildfire evacuation task. Like prior studies, we found that different types of visual cues led to different patterns of decision making. In addition, our comparison of visual and numerical representations of risk found that people were more likely to evacuate when they saw visualizations than when they saw numerical representations. These experiments reinforce the idea that design choices are not neutral: seemingly minor differences in how information is represented can have important impacts on human risk perception and decision making.}, added-at = {2023-09-29T15:06:05.000+0200}, address = {Los Alamitos, CA, USA}, author = {Matzen, L. E. and Howell, B. C. and Trumbo, M. S. and Divis, K. M.}, biburl = {https://www.bibsonomy.org/bibtex/2ada7798e9caccf21ce7974a60234a64e/tabularii}, doi = {10.1109/MCG.2023.3299875}, interhash = {bb7b4bd4ee8dda314002befecec970eb}, intrahash = {ada7798e9caccf21ce7974a60234a64e}, issn = {1558-1756}, journal = {IEEE Computer Graphics and Applications}, keywords = {analysis costs decision information_making laboratories risk_perception task_visualization uncertainty visualization}, month = sep, number = 05, pages = {72-82}, publisher = {IEEE Computer Society}, timestamp = {2023-09-29T15:21:27.000+0200}, title = {Numerical and Visual Representations of Uncertainty Lead to Different Patterns of Decision Making}, url = {https://arxiv.org/abs/2109.10529}, volume = 43, year = 2023 }