Insights from surgeons’ eye-movement data in a virtual simulation surgical training environment: effect of experience level and hand conditions.

Today, with the advancements in the eye-tracking technology, it has become possible to follow surgeons’ eye movements while performing surgical tasks. Despite the availability of studies providing a better understanding of surgeons’ eye movements, research in the particular field of endoneurosurgery...

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Publicado en:Behaviour & Information Technology Vol. 37; no. 5; pp. 517 - 538
Autores principales: Menekse Dalveren, Gonca Gokce, Cagiltay, Nergiz Ercil
Formato: pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd May2018
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Insights from surgeons’ eye-movement data in a virtual simulation surgical training environment: effect of experience level and hand conditions.
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        au:
          Menekse Dalveren, Gonca Gokce
          Cagiltay, Nergiz Ercil
        affil: Department of Software Engineering, Faculty of Engineering, Atilim University, Ankara, Turkey
      sug:
        subj:
          Simulations
          Surgery, Operative Education
          Eye Movements
          Human
          Computer Simulation
          Turkiye
          Male
          Female
          Adult
          Algorithms
          Data Analysis Software
          Mann-Whitney U Test
          Adult: 19-44 years
          Male
          Female
      ab: Today, with the advancements in the eye-tracking technology, it has become possible to follow surgeons’ eye movements while performing surgical tasks. Despite the availability of studies providing a better understanding of surgeons’ eye movements, research in the particular field of endoneurosurgery is very limited. Analysing surgeons’ eye-movement data can provide general insights into how to improve surgical education programmes. In this study, four simulation-based task-oriented endoscopic surgery training scenarios were developed and implemented by 23 surgical residents using three different hand conditions; dominant, non-dominant, and both. The participants’ recorded eye data comprised fixation number, fixation duration, saccade number, saccade duration, pursuit number, pursuit duration, and pupil size. This study has two main contributions: First, it reports on the eye-movement behaviours of surgical residents, demonstrating that novice residents tended to make more fixations and saccades than intermediate residents. They also had a higher fixation duration and followed the objects more frequently compared to the intermediates. Furthermore, hand conditions significantly affected the eye movements of the participants. Based on these results, it can be concluded that eye-movement data can be used to assess the skill levels of surgical residents and would be an important measure to better guide trainees in surgical education programmes. The second contribution of this study is the eye-movement event classifications of 10 different algorithms. Although the algorithms mostly provided similar results, there were a few conflicted values for some classifications, which offers a clue as to how researchers can utilise these algorithms with low sampling frequency eye trackers.
      pubtype: Academic Journal
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      ougenre: Article
    language: English
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