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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20261012T210909Z
LOCATION:Summit Pavilion
DTSTART;TZID=America/Los_Angeles:20261021T173000
DTEND;TZID=America/Los_Angeles:20261021T183000
UID:HFESAM_ASPIRE 2026_sess257_POST196@linklings.com
SUMMARY:Utility Visualizations in Decision Aiding Do Not Facilitate Intuit
 ive Data Estimation
DESCRIPTION:David Illingworth and Rahel Bracht (California State Universit
 y, Long Beach)\n\nWe report an experiment evaluating people's ability to a
 ccurately extract data from a utility transformed geospatial visualization
 . The study employed a 2 (Map Type: heat vs. utility map) × 2 (Color Schem
 e: rainbow vs. blackbody radiation) × 2 (Subjectivity: given vs. chosen lo
 cation) mixed design. Participants (n = 199) were presented single-attribu
 te map displays and asked to estimate the attribute value at a marked loca
 tion. They completed 64 trials. Brier scores were computed to measure esti
 mation uncertainty. We conducted Type II Analysis of Deviance (Wald χ² tes
 t) tests to assess the effects of each factor mentioned in the design. We 
 found clear evidence that participants consistently provided more accurate
  estimations of environmental properties when using heat maps compared to 
 utility maps. Proponents of utility-based visualizations may argue that th
 is point is moot as such displays could be toggled on and off to grant acc
 ess to the original data. However, how utility information is extracted fr
 om displays and integrated into human decision-making processes is of theo
 retical importance if only to anticipate when use of such systems is unwis
 e. Moreover, adding features to decision aids to mitigate the limitations 
 of utility-based visualizations undermines the goal of reducing load on op
 erators.\n\n
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