Camilo Gouet, Wei Jin, Daniel Q Naiman, Marcela Peña, Justin Halberda
Bias and noise in proportion estimation: A mixture psychophysical model
Cognition
information regarding dental implants difficult understand participants improving patients dental implant health literacy remains challenging process purpose clinical study develop evaluate patients understanding implant treatment procedure components sequences using traditional typodont augmented reality ar applications etypodont goal improving oral health literacy participants sought dental implant treatment group practice implant clinic university illinois chicago uic college dentistry invited enroll study participants asked fill first questionnaire q1 assessing understanding implant treatment procedures components sequences participants randomly exposed 1 2 modes delivering education typodont ar etypodont participants asked complete additional 2 questionnaires q2 q3 posttest questionnaire q1 reevaluate understanding implant treatment procedure components sequences data entered coded spreadsheet descriptive mean statistical wilcoxon signed ranks mannwhitney u test analyses used 05 interventions significantly increased participants understanding implant treatments typodont p004 etypodont p001 implant components typodont p003 etypodont p001 implant treatment sequences typodont p001 etypodont p001 etypodont group significantly improved participants understanding implant treatments p006 implant components p023 implant treatment sequences p008 compared typodont group participants perceived etypodont mode delivery significantly interesting p002 interactive p008 educational p002 userfriendly p016 wow p002 compared traditional typodont mode delivery interventions improved participants understanding implant treatment procedures components sequences etypodont showed better improvement participants understanding dental implants compared traditional typodont