Automatic Performance Assessment in Three-dimensional Interactive Haptic Medical Simulators: A Systematic Review

Author:

Sallaberry Lucas H.1ORCID,Tori Romero1ORCID,Nunes Fátima L. S.2ORCID

Affiliation:

1. Escola Politécnica, University of São Paulo, São Paulo, Brazil

2. School of Arts, Sciences and Humanities, University of São Paulo, São Paulo, Brazil

Abstract

This study presents a literature systematic review of automatic performance assessment in three-dimensional interactive medical and dental simulators with haptic feedback, resulting in 63 included articles. The main contributions regard analysis and discussion of investigated procedures, extracted metrics, experiment types, and assessment techniques. Studies have mostly focused on assessing performance by analyzing metrics using statistical techniques, while machine learning algorithms appear to be underexplored. Metrics related to time were observed in 84% of the studies, and aspects related to force, error and precision were investigated to a lesser degree. Difficulties reported in the articles are discussed, and research opportunities are presented.

Funder

Brazilian Federal Agency for Post-Graduation Education

Brazilian National Council of Scientific and Technological Development

São Paulo Research Foundation

National Institute of Science and Technology - Medicine Assisted by Scientific Computing

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference117 articles.

1. IEEE. 2021. IEEE Xplore. Retrieved 12 January 2021 from https://ieeexplore.ieee.org/Xplore/home.jsp.

2. National Library of Medicine. 2021. PubMed. Retrieved 12 January 2021 from https://pubmed.ncbi.nlm.nih.gov/.

3. Elsevier. 2021. Scopus. Retrieved 30 December 2020 from https://www.elsevier.com/solutions/scopus.

4. Association for Computing Machinery. 2021. ACM Digital Library. Retrieved 12 January 2021 from https://dl.acm.org/.

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