Evidence map›Paper›PMID 30393449›Full record

ArticleInternational journal of human-computer studies2016

Achieving Interface and Environment Fidelity in the Virtual Basic Laparoscopic Surgical Trainer.

Amine Chellali, Helena Mentis, Amie Miller, Woojin Ahn, Venkata S Arikatla, Ganesh Sankaranarayanan, Suvranu De, Steven D Schwaitzberg, Caroline G L Cao

Abstract read
In one paragraph

Article in International journal of human-computer studies, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Amine ChellaliDepartment of Computer Engineering, IBISC Laboratory, University of Evry, Evry, France.
Helena MentisDepartment of Surgery, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA.
Amie MillerDepartment of Surgery, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA.
Woojin AhnCenter for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, NY, USA.
Venkata S ArikatlaCenter for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, NY, USA.
Ganesh SankaranarayananCenter for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, NY, USA.
Suvranu DeCenter for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, NY, USA.
Steven D SchwaitzbergDepartment of Surgery, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA.
Caroline G L CaoDepartment of Biomedical, Industrial and Human Factors Engineering, Wright State University, Dayton, OH, USA.

Funding

Physically Realistic Virtual SurgeryR01EB005807 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI DE, SUVRANU, JACKSON, CULLEN DAVIS · 2006 to 2024
$7.0M
Developing a Virtual Basic Laparoscopic Skill Trainer (VBLaST)R01EB010037 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI CAO, CAROLINE GL, DE, SUVRANU · 2010 to 2013
$2.0M
NIBIB NIH HHS R01 EB005807NIBIB NIH HHS R01 EB010037
6 · The paper itself

Abstract

Virtual reality trainers are educational tools with great potential for laparoscopic surgery. They can provide basic skills training in a controlled environment and free of risks for patients. They can also offer objective performance assessment without the need for proctors. However, designing effective user interfaces that allow the acquisition of the appropriate technical skills on these systems remains a challenge. This paper aims to examine a process for achieving interface and environment fidelity during the development of the Virtual Basic Laparoscopic Surgical Trainer (VBLaST). Two iterations of the design process were conducted and evaluated. For that purpose, a total of 42 subjects participated in two experimental studies in which two versions of the VBLaST were compared to the accepted standard in the surgical community for training and assessing basic laparoscopic skills in North America, the FLS box-trainer. Participants performed 10 trials of the peg transfer task on each trainer. The assessment of task performance was based on the validated FLS scoring method. Moreover, a subjective evaluation questionnaire was used to assess the fidelity aspects of the VBLaST relative to the FLS trainer. Finally, a focus group session with expert surgeons was conducted as a comparative situated evaluation after the first design iteration. This session aimed to assess the fidelity aspects of the early VBLaST prototype as compared to the FLS trainer. The results indicate that user performance on the earlier version of the VBLaST resulting from the first design iteration was significantly lower than the performance on the standard FLS box-trainer. The comparative situated evaluation with domain experts permitted us to identify some issues related to the visual, haptic and interface fidelity on this early prototype. Results of the second experiment indicate that the performance on the second generation VBLaST was significantly improved as compared to the first generation and not significantly different from that of the standard FLS box-trainer. Furthermore, the subjects rated the fidelity features of the modified VBLaST version higher than the early version. These findings demonstrate the value of the comparative situated evaluation sessions entailing hands on reflection by domain experts to achieve the environment and interface fidelity and training objectives when designing a virtual reality laparoscopic trainer. This suggests that this method could be used successfully in the future to enhance the value of VR systems as an alternative to physical trainers for laparoscopic surgery skills. Some recommendations on how to use this method to achieve the environment and interface fidelity of a VR laparoscopic surgical trainer are identified.

Indexed as

Interaction designIterative designSimulator fidelitysurgical trainingVirtual reality (VR)

Identifiers

PMID30393449
PMCPMC6214218

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.