Multitasking MythEvidence & Dosage

Top studies on Multitasking Myth

Ranked by influential-citation count and publication year.

1. 01

   Male Rape Myth Correlates Among Male and Female Canadian Adults

   Journal of Interpersonal Violence·2026

   Men experience sexual harassment, sexual violations, and rape, but these go largely unaddressed. Social norms and ideologies supporting masculine dominance and superiority claim that “real” men cannot be raped, and women cannot be…

2. 02

   Taking Fuel From the Fire: Regulating the Introduction of Rape Myth Infused and Irrelevant Evidence About Complainants in Rape Trials

   Behavioral Sciences & the Law·2026

   This article considers how victim‐blaming and stereotypical attitudes about appropriate victim behaviour can impact upon the operation of rape trials, particularly by prejudicing a complainant's testimony where s/he can be portrayed as…

3. 03

   Reducing Rape Myth Acceptance Through Educational Debunking

   Journal of Interpersonal Violence·2026

   Reducing rape myth acceptance (RMA) is essential to improve the treatment of victims and challenge the societal narratives that excuse sexual aggression. This study examined whether an educational intervention providing myth-debunking…

4. 04

   Effect of Rape Myth Acceptance and Empathy Priming on Juror Decisions in a Mock Sexual Assault Trial

   Behavioral Sciences & the Law·2026

   The purpose of the current study was to examine the impact of rape myth acceptance (RMA), as measured by a relatively new ‘subtle’ RMA scale, and an experimental empathy manipulation on juror verdicts in a mock sexual assault trial. A…

5. 05

   Giving AI agents a sense of control facilitates reinforcement learning in multitasking scenarios

   PLOS One·2026

   Having to control multiple tasks in parallel poses challenges for humans and artificial agents alike. In artificial intelligence, specific forms of reinforcement learning (RL), most notably hierarchical and model-based RL, have shown…

6. 06

   Elevating adversarial robustness by contrastive multitasking defence in medical image segmentation

   Neural Networks·2026

   Although Deep Learning (DL)-based Medical Image Segmentation (MIS) models are critically important, adversarial attacks substantially diminish their efficacy. Such attacks subtly perturb inputs, causing the model to produce inaccurate…

7. 07

   Generative AI–Assisted Microlearning for Erectile Dysfunction Myth Reduction: Single-Center Pre–Post Quasi-Experimental Study

   JMIR Formative Research·2026·n=200

   Background Erectile dysfunction (ED) is strongly influenced by persistent misconceptions that delay help-seeking and limit engagement with effective care. Patient-centered digital strategies, including generative artificial intelligence…

8. 08

   Partisan divides in belief: Perpetrator gender and male rape myth endorsement among U.S. university students

   Journal of American College Health·2026

   <b>Objective</b>: This study examines endorsement of male rape myths among U.S. undergraduates, varying perpetrator gender, and assessing differences by respondent gender, race, and partisanship. <b>Participants</b>: Roughly 945 U.S.…