Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons

Caroline Brendle; Laura Schütz; Javier Esteban; Sandro M. Krieg; Ulrich Eck; Nassir Navab

doi:10.1007/978-3-030-59716-0_38

Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons

Caroline Brendle, Laura Schütz, Javier Esteban, Sandro M. Krieg, Ulrich Eck, Nassir Navab

Informatics 16 - Chair of Computer Aided Medical Procedures

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

Abstract

During spinal fusion surgery, the orientation of the pedicle screw in the right angle plays a crucial role for the outcome of the operation. Local separation of navigation information and the surgical situs, in combination with intricate visualizations, can limit the benefits of surgical navigation systems. The present study addresses these problems by proposing a hand-held navigation device (HND) for pedicle screw placement. The in-situ visualization of graphically reduced interfaces, and the simple integration of the device into the surgical work flow, allow the surgeon to position the tool while keeping sight of the anatomical target. 18 surgeons participated in a study comparing the HND to the state-of-the-art visualization on an external screen. Our approach revealed significant improvements in mental demand and overall cognitive load, measured using NASA-TLX (p< 0.05 ). Moreover, surgical time (One-Way ANOVA p< 0.001 ) and system usability (Kruskal-Wallis test p< 0.05 ) were significantly improved.

Original language	English
Title of host publication	Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings
Editors	Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	399-408
Number of pages	10
ISBN (Print)	9783030597153
DOIs	https://doi.org/10.1007/978-3-030-59716-0_38
State	Published - 2020
Event	23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 - Lima, Peru Duration: 4 Oct 2020 → 8 Oct 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12263 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020
Country/Territory	Peru
City	Lima
Period	4/10/20 → 8/10/20

Keywords

Augmented reality
Cognitive load
Hand-held navigation device
Pedicle screw placement
Spinal fusion
Surgical navigation
Surgical visualization

Access to Document

10.1007/978-3-030-59716-0_38

Cite this

Brendle, C., Schütz, L., Esteban, J., Krieg, S. M., Eck, U., & Navab, N. (2020). Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons. In A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, D. Racoceanu, & L. Joskowicz (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings (pp. 399-408). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12263 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59716-0_38

Brendle, Caroline ; Schütz, Laura ; Esteban, Javier et al. / Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. editor / Anne L. Martel ; Purang Abolmaesumi ; Danail Stoyanov ; Diana Mateus ; Maria A. Zuluaga ; S. Kevin Zhou ; Daniel Racoceanu ; Leo Joskowicz. Springer Science and Business Media Deutschland GmbH, 2020. pp. 399-408 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons",

abstract = "During spinal fusion surgery, the orientation of the pedicle screw in the right angle plays a crucial role for the outcome of the operation. Local separation of navigation information and the surgical situs, in combination with intricate visualizations, can limit the benefits of surgical navigation systems. The present study addresses these problems by proposing a hand-held navigation device (HND) for pedicle screw placement. The in-situ visualization of graphically reduced interfaces, and the simple integration of the device into the surgical work flow, allow the surgeon to position the tool while keeping sight of the anatomical target. 18 surgeons participated in a study comparing the HND to the state-of-the-art visualization on an external screen. Our approach revealed significant improvements in mental demand and overall cognitive load, measured using NASA-TLX (p< 0.05 ). Moreover, surgical time (One-Way ANOVA p< 0.001 ) and system usability (Kruskal-Wallis test p< 0.05 ) were significantly improved.",

keywords = "Augmented reality, Cognitive load, Hand-held navigation device, Pedicle screw placement, Spinal fusion, Surgical navigation, Surgical visualization",

author = "Caroline Brendle and Laura Sch{\"u}tz and Javier Esteban and Krieg, {Sandro M.} and Ulrich Eck and Nassir Navab",

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editor = "Martel, {Anne L.} and Purang Abolmaesumi and Danail Stoyanov and Diana Mateus and Zuluaga, {Maria A.} and Zhou, {S. Kevin} and Daniel Racoceanu and Leo Joskowicz",

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Brendle, C, Schütz, L, Esteban, J, Krieg, SM, Eck, U & Navab, N 2020, Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons. in AL Martel, P Abolmaesumi, D Stoyanov, D Mateus, MA Zuluaga, SK Zhou, D Racoceanu & L Joskowicz (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12263 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 399-408, 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, Lima, Peru, 4/10/20. https://doi.org/10.1007/978-3-030-59716-0_38

Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons. / Brendle, Caroline; Schütz, Laura; Esteban, Javier et al.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. ed. / Anne L. Martel; Purang Abolmaesumi; Danail Stoyanov; Diana Mateus; Maria A. Zuluaga; S. Kevin Zhou; Daniel Racoceanu; Leo Joskowicz. Springer Science and Business Media Deutschland GmbH, 2020. p. 399-408 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12263 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Eck, Ulrich

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Brendle C, Schütz L, Esteban J, Krieg SM, Eck U, Navab N. Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons. In Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L, editors, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 399-408. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-59716-0_38

Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons

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Keywords

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