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Laparoscopic surgical suboptimal outcomes in patient safety measures are correlated with (i) cognitive load / level of attention of the operating surgeon, (ii) the frequency and degree of disruptions to the surgical workflow, and (iii) the misalignment of visual and motor axes in laparoscopic equipment / setting (eye-hand coordination).

This project will create the foundational, design and operational principles of future, surgeon-friendly minimal invasive surgery operating room information technologies (MIS-IT), which –given the ever growing complexity in surgical workflows, as well as instrument and equipment settings– will have to build on human attention as a scarce resource.

On the formal model’s and methods’ side, MinIAttention will

  • identify types of human attention, as well as
  • cognitive and physiological mechanisms revealing its relation to perception, memory, decision making, and learning.
  • characterize aspects of attention of surgeons during MIS operations, by
  • focusing on established theories of individual attention and respective attention models.

Funding: FFG, Bridge 3. Frühphase (2015)

Duration: 2016 - 2019

B. Anzengruber, N. Hochedlinger, M. Matscheko, A. Ferscha, A. Shamiyeh, B. Klugsberger, G. Demireli
MinIAttention: Attention Management in Minimal Invasive Surgery using an IoT Synchronization Approach
In Proceedings of the 7th International Conference on the Internet of Things, Editors: ACM, New York, NY, USA, 2 pages, DOI: https://doi.org/10.1145/3131542.3140270, October 2017.