MinIAttention: Attention Management in Minimal Invasive Surgery using an IoT Synchronization Approach

Bernhard Anzengruber-Tánase; Nina Hochedlinger; Michael Matscheko; Alois Ferscha; Andreas Shamiyeh; Bettina Klugsberger; Gamze Demireli

doi:10.1145/3131542.3140270

MinIAttention: Attention Management in Minimal Invasive Surgery using an IoT Synchronization Approach

Bernhard Anzengruber-Tánase
, Nina Hochedlinger
, Michael Matscheko
, Alois Ferscha
, Andreas Shamiyeh
, Bettina Klugsberger
, Gamze Demireli

Institute of Pervasive Computing

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

Abstract

Laparoscopy and endoscopy have revolutionized the state of the art in surgical health care. Still, the associated higher complexity of the operating procedure leads to suboptimal or even erroneous surgical outcomes of minimal invasive surgery (MIS). Our work aims at evaluating and reducing MIS sur- geons’ cognitive load by observing their bio features and link- ing them to their psycho physiological triggers. In this way, we aim at detecting the current cognitive load and attention of surgeons to give them unobtrusive feedback when detecting suboptimal levels of cognitive load.

Original language	English
Title of host publication	Proceedings of the 7th International Conference on the Internet of Things
Editors	Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso
Publisher	ACM DL
Number of pages	2
ISBN (Electronic)	9781450353182
DOIs	https://doi.org/10.1145/3131542.3140270
Publication status	Published - 2017

Fields of science

102 Computer Sciences
102009 Computer simulation
102013 Human-computer interaction
102019 Machine learning
102021 Pervasive computing
102022 Software development
102025 Distributed systems

JKU Focus areas

Computation in Informatics and Mathematics
Engineering and Natural Sciences (in general)

Access to Document

10.1145/3131542.3140270

Cite this

Anzengruber-Tánase, B., Hochedlinger, N., Matscheko, M., Ferscha, A., Shamiyeh, A., Klugsberger, B., & Demireli, G. (2017). MinIAttention: Attention Management in Minimal Invasive Surgery using an IoT Synchronization Approach. In Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso (Ed.), Proceedings of the 7th International Conference on the Internet of Things Article 34 ACM DL. https://doi.org/10.1145/3131542.3140270

Anzengruber-Tánase, Bernhard ; Hochedlinger, Nina ; Matscheko, Michael et al. / MinIAttention: Attention Management in Minimal Invasive Surgery using an IoT Synchronization Approach. Proceedings of the 7th International Conference on the Internet of Things. editor / Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso. ACM DL, 2017.

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title = "MinIAttention: Attention Management in Minimal Invasive Surgery using an IoT Synchronization Approach",

abstract = "Laparoscopy and endoscopy have revolutionized the state of the art in surgical health care. Still, the associated higher complexity of the operating procedure leads to suboptimal or even erroneous surgical outcomes of minimal invasive surgery (MIS). Our work aims at evaluating and reducing MIS sur- geons{\textquoteright} cognitive load by observing their bio features and link- ing them to their psycho physiological triggers. In this way, we aim at detecting the current cognitive load and attention of surgeons to give them unobtrusive feedback when detecting suboptimal levels of cognitive load.",

author = "Bernhard Anzengruber-T{\'a}nase and Nina Hochedlinger and Michael Matscheko and Alois Ferscha and Andreas Shamiyeh and Bettina Klugsberger and Gamze Demireli",

year = "2017",

doi = "10.1145/3131542.3140270",

language = "English",

editor = "\{Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-T{\'a}nase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso\}",

booktitle = "Proceedings of the 7th International Conference on the Internet of Things",

publisher = "ACM DL",

}

Anzengruber-Tánase, B, Hochedlinger, N, Matscheko, M, Ferscha, A , Shamiyeh, A , Klugsberger, B & Demireli, G 2017, MinIAttention: Attention Management in Minimal Invasive Surgery using an IoT Synchronization Approach. in Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso (ed.), Proceedings of the 7th International Conference on the Internet of Things., 34, ACM DL. https://doi.org/10.1145/3131542.3140270

MinIAttention: Attention Management in Minimal Invasive Surgery using an IoT Synchronization Approach. / Anzengruber-Tánase, Bernhard; Hochedlinger, Nina; Matscheko, Michael et al.
Proceedings of the 7th International Conference on the Internet of Things. ed. / Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso. ACM DL, 2017. 34.

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

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T1 - MinIAttention: Attention Management in Minimal Invasive Surgery using an IoT Synchronization Approach

AU - Anzengruber-Tánase, Bernhard

AU - Hochedlinger, Nina

AU - Matscheko, Michael

AU - Ferscha, Alois

AU - Shamiyeh, Andreas

AU - Klugsberger, Bettina

AU - Demireli, Gamze

PY - 2017

Y1 - 2017

N2 - Laparoscopy and endoscopy have revolutionized the state of the art in surgical health care. Still, the associated higher complexity of the operating procedure leads to suboptimal or even erroneous surgical outcomes of minimal invasive surgery (MIS). Our work aims at evaluating and reducing MIS sur- geons’ cognitive load by observing their bio features and link- ing them to their psycho physiological triggers. In this way, we aim at detecting the current cognitive load and attention of surgeons to give them unobtrusive feedback when detecting suboptimal levels of cognitive load.

AB - Laparoscopy and endoscopy have revolutionized the state of the art in surgical health care. Still, the associated higher complexity of the operating procedure leads to suboptimal or even erroneous surgical outcomes of minimal invasive surgery (MIS). Our work aims at evaluating and reducing MIS sur- geons’ cognitive load by observing their bio features and link- ing them to their psycho physiological triggers. In this way, we aim at detecting the current cognitive load and attention of surgeons to give them unobtrusive feedback when detecting suboptimal levels of cognitive load.

UR - https://www.scopus.com/pages/publications/85046061564

U2 - 10.1145/3131542.3140270

DO - 10.1145/3131542.3140270

M3 - Conference proceedings

BT - Proceedings of the 7th International Conference on the Internet of Things

A2 - Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso, null

PB - ACM DL

ER -

Anzengruber-Tánase B, Hochedlinger N, Matscheko M, Ferscha A , Shamiyeh A , Klugsberger B et al. MinIAttention: Attention Management in Minimal Invasive Surgery using an IoT Synchronization Approach. In Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso, editor, Proceedings of the 7th International Conference on the Internet of Things. ACM DL. 2017. 34 doi: 10.1145/3131542.3140270

MinIAttention: Attention Management in Minimal Invasive Surgery using an IoT Synchronization Approach

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MinIAttention: Attention Management in Minimal Invasive Surgery

Cite this