Understanding the Effect of Handedness on Both-Handed Task Performance: An Experimental Study based on a Haptic-Controlled, Simulation-Based Surgical Skill Training Scenario
| Autor: | Nergiz Ercil Cagiltay, Burak Gokberk Eyuboglu, Damla Topalli |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Computer science 05 social sciences Human Factors and Ergonomics computer.software_genre behavioral disciplines and activities Surgical training Computer Science Applications Task (project management) Human-Computer Interaction 03 medical and health sciences 0302 clinical medicine Software Virtual machine Human–computer interaction Surgical skills 0501 psychology and cognitive sciences Duration (project management) business computer Simulation based 050107 human factors 030217 neurology & neurosurgery Haptic technology |
| Zdroj: | International Journal of Human–Computer Interaction. 35:478-482 |
| ISSN: | 1532-7590 1044-7318 |
| DOI: | 10.1080/10447318.2018.1464283 |
| Popis: | Understanding the performance on both-handed tasks, such as endoscopic surgery, is critical to better organize and develop appropriate instructional systems to improve the necessary skills of surgeons. However, in the literature, only a limited number of studies have investigated the effect of handedness on both-handed task performance. This study aimed to provide an understanding of the participants' performance differences while performing both-handed tasks through a haptic user interface in a simulated virtual environment specifically developed for surgical training purposes. Twenty-four surgeons attending a medical school in Turkey voluntarily participated in the study. The duration, accuracy, and collision measures were automatically recorded by software. The results revealed that the left-handed participants performed the both-handed tasks (camera: nondominant hand, tool: dominant-hand) in a significantly shorter time than the right-handed participants. This study also showed that haptic-controlled simulation-based surgical skill training systems can potentially provide measures for better understanding the individual behaviors and deliver alternative training environments specific to individual requirements. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|