Diagnostic Requirements for Efficient, Adaptive Robotic Surgery Training

Thomas E.F. Witte*, Martin Schmettow, Marleen Groenier

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
2 Downloads (Pure)


Robot-assisted surgery training is shifting towards simulation-based training. Challenges that accompany this shift are high costs, working hour regulations and the high stakes aspects of the surgery domain. Adaptive training could be a possible solution to reduce the problems. First, an adaptive system needs diagnostic data with which the system can make an action selection. A scoping literature search was performed to give an overview of the state of the research regarding diagnostic requirements. Diagnostic metrics should be (a) useful for formative and not only summative assessment of trainee progress, (b) valid and reliable, (c) as nonintrusive as possible for the trainee, (d) predictive of future performance in the operating theater (e) explanatory, and (f) suitable for real-time assessment of trainee’s learning state. For a more in-depth understanding, further research is needed into which simulator parameters can be used as diagnostic metrics that can be assessed in real-time. A possible framework for adaptive training systems is discussed, and future research topics are presented.

Original languageEnglish
Title of host publicationAdaptive Instructional Systems
Subtitle of host publication1st International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsRobert A. Sottilare, Jessica Schwarz
Number of pages13
ISBN (Electronic)978-3-030-22341-0
ISBN (Print)978-3-030-22340-3
Publication statusPublished - 14 Jun 2019
Event1st International Conference on Adaptive Instructional Systems, AIS 2019 - Walt Disney World Swan and Dolphin Resort, Orlando, United States
Duration: 26 Jul 201931 Jul 2019
Conference number: 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11597 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference1st International Conference on Adaptive Instructional Systems, AIS 2019
Abbreviated titleAIS 2019
Country/TerritoryUnited States
OtherHeld as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Internet address


  • Adaptive training
  • Real-time assessment
  • Robotic surgery
  • Robotic surgical training


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