IEEE Trans Vis Comput Graph - The Perception of Visual Uncertainty Representation by Non-Experts.

Tópicos

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Resumo

We tested how non-experts judge point probability for seven different visual representations of uncertainty, using a case from an unfamiliar domain. Participants (n=140) rated the probability that the boundary between two earth layers passed through a given point, for seven different visualizations of the positional uncertainty of the boundary. For all types of visualizations, most observers appear to construct an internal model of the uncertainty distribution that closely resembles a normal distribution. However, the visual form of the uncertainty range (i.e., the visualization type) affects this internal model and the internal model relates to participants' numeracy. We conclude that perceived certainty is affected by its visual representation. In a follow-up experiment we found no indications that the absence (or presence) of a prominent center line in the visualization affects the internal model. We discuss if and how our results inform which visual representation is most suitable for representing uncertainty and make suggestions for future work.

Resumo Limpo

test nonexpert judg point probabl seven differ visual represent uncertainti use case unfamiliar domain particip n rate probabl boundari two earth layer pass given point seven differ visual posit uncertainti boundari type visual observ appear construct intern model uncertainti distribut close resembl normal distribut howev visual form uncertainti rang ie visual type affect intern model intern model relat particip numeraci conclud perceiv certainti affect visual represent followup experi found indic absenc presenc promin center line visual affect intern model discuss result inform visual represent suitabl repres uncertainti make suggest futur work

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