Assessing the effectiveness of different visualizations for judgments of positional uncertainty

摘要: Many techniques have been proposed for visualizing uncertainty in geospatial data. Previous empirical research on the effectiveness of visualizations has focused primarily user intuitions rather than objective measures performance when reasoning under uncertainty. Framed context Google’s blue dot, we examined four alternative representing positional about self-location Our task presents a mobile mapping scenario which GPS satellite location readings produce estimates with varying levels Given known and two smartphone that location, participants were asked to judge produces better reading, taking into account. We produced vary by glyph type uniform circle border vs. Gaussian fade visibility centroid dot visible not visualization formats. Participants viewing are most likely respond accordance actual probability density points sampled from bivariate normal distributions additionally rapidly. reported number simple heuristics they based their judgments, consistency these was highly predictive judgments.