Related Experiment Video
Updated: Feb 1, 2026

09:01
Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
Published on: March 27, 2013
14.9K
Attentional selectivity, automaticity, and self-efficacy predict simulator-acquired skill transfer to the clinical
Nicholas E Anton1, Tomoko Mizota1, Lava R Timsina1
1Department of Surgery, Indiana University School of Medicine, USA.
American Journal of Surgery
|December 13, 2018
Summary
Trainee automaticity, attention, and perceived ability predict surgical skill transfer from simulators to operating rooms. Enhancing these factors can improve training effectiveness for better patient outcomes.
Area of Science:
- Medical Education
- Surgical Simulation
- Skill Transfer
Background:
- Simulator training is crucial for surgical education but skill transfer to the operating room remains incomplete.
- Identifying factors that predict successful skill transfer is essential for optimizing surgical training programs.
Purpose of the Study:
- To identify trainee characteristics that predict the successful transfer of simulator-acquired skills to the operating room.
- To enhance the effectiveness of surgical simulation training.
Main Methods:
- Trainees underwent baseline assessments of surgical skill, attention, and experience.
- Proficiency-based laparoscopic skills training was administered.
- Skill transfer was evaluated using a live-animal model, with performance analyzed via multiple linear regression.
Main Results:
- Automaticity, attentional selectivity, perceived laparoscopic/simulator ability, and post-training intracorporeal suturing (IS) performance predicted IS performance in the transfer test.
- Thirty-eight residents completed the study, with these factors showing statistical significance.
Conclusions:
- Improving automaticity, self-efficacy, and attentional selectivity are key to enhancing skill transfer from simulators.
- Mental skills training and training to automaticity may be valuable interventions to improve surgical skill acquisition and transfer.
Related Concept Videos
Automatic Processing and Automatic Social Behavior
252
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
252
What is Natural Selection?
129.0K
Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
129.0K
Self-Efficacy
224
Self-efficacy is the belief in one's capacity to organize and execute actions necessary to manage prospective situations. This belief significantly influences how individuals approach goals, tasks, and challenges across different domains of life.Psychological and Educational ImpactsIndividuals with strong self-efficacy are more resilient in the face of difficulties. They are more likely to adopt effective problem-solving strategies, persist through obstacles, and regulate emotions such as...
224
Predicting Molecular Geometry
45.8K
VSEPR Theory for Determination of Electron Pair Geometries
45.8K
Prediction Intervals
3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.4K
Attention-Deficit/Hyperactivity Disorder
978
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....
978

