Results Procedure Conclusions Goals Results

Deviant sexual interests assessment: Op2mizing classifica2on accuracy 1 2 3 1 3 Dominique Tro]er, Ph. D. Mathieu Goyeè, Ph. D. Joanne-‐L. Rouleau, Ph. D. Patrice Renaud, Ph. D. Shawn M.-‐Lévesque

Université du Québec en Outaouais1; Université de Sherbrooke2; Université de Montréal3

Results

Goals

Variables

1.  Inves*gate eye-‐tracking as a method to discriminate child molesters from control subjects. 2.  Determine the classifica*on accuracy of an assessment modality that combines eye-‐tracking and penile plethysmography (PPG).

Combined PPG w/ CGS and eye tracking Eye-‐tracking variables PPG w/ audio s*muli PPG w/ CGS Reference line

PPG w/ audio s*muli AUC = 0,797 p= 0.000 [95 % CI (0.748; 0.978)] Eye-‐tracking variables AUC = 0,790 p= 0.001 [95 % CI (0.651; 0.928)]

Procedure Step 1 • PPG • Audio s*muli

Results

Step 2 • PPG • Computer-‐ generated s*muli (CGS) • Eye-‐tracking

PPG w/ CGS AUC = 0,863 p= 0.000 [95 % CI (0.657; 0.918)]

Combined PPG w/ CGS and eye-‐ tracking variables AUC = 0,965 p= 0.000 [95 % CI (0.922; 1.000)]

Conclusions 1.  Classifica*on accuracy for eye-‐tracking variables is sta*s*cally equivalent to PPG with audio s*muli. 2.  Combining PPG and eye-‐tracking significantly op*mizes sexual interests assessment’s classifica*on accuracy.