Clinical Trial Details
— Status: Completed
Administrative data
| NCT number |
NCT03363152 |
| Other study ID # |
Minatt-017 |
| Secondary ID |
|
| Status |
Completed |
| Phase |
|
| First received |
|
| Last updated |
|
| Start date |
July 6, 2016 |
| Est. completion date |
December 30, 2020 |
Study information
| Verified date |
October 2023 |
| Source |
Kepler University Hospital |
| Contact |
n/a |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Observational
|
Clinical Trial Summary
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).
Description:
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. Starting with established theories of
individual attention (Capacity Theory, Multiple Resource Theory, Feature Integration Theory)
and the respective attention models (Broadbent, Kahneman, Wickens), the investigators will
characterize aspects of attention of surgeons during MIS operations. MinIAttention will
empirically evidence its models on the dynamics of a surgeon's attention along the workflow
of a MIS operation. A multi-sensor attention recognition reference framework will be
implementation, involving externalized signals of a surgeons attention (eye gaze, head and
hand gesture, head and full body pose, physiological signals, as well as communication and
social interaction). Evidenced MinIAttention attention models will represent the core body of
aware surgeon assistance systems, covering (i) sensory assistance, enhancing the surgeons
perceptual capacities, (ii) motor assistance, enhancing the surgeons motor and manipulative
capacities (iii) decision making assistance, guiding the surgeon towards informed, evidence
based, rational, transparent and timely decisions during operation, and (iv) cognitive
assistance, enhancing the surgeons memory management capacities with background digital
memory systems. On the purpose of supporting this research proposal with an early impression
of the feasibility of the proposed research method and approach, the proposing partners have
voluntarily set up prototypical attention capturing system. With this preliminary proposal
support study the investigators have evidenced that ensembles of sensors together with our
attention models can serve as a nonobtrusive, yet potentially effective means to determine
indicators of a surgeon's attention during live surgeries. Above that, the pattern
recognition methods an machine learning techniques appear viable for the task of automated
attention and cognitive load diagnosis, and the proposed assistance and mulitmodal feedback
system reveals feasible. The investigators can thus say, that the research method and
approach which MinIAttention will build upon is solid, promising, and preliminarily evidenced
beforehand.
Aside the MIS-IT focus of this project, MinIAttention will serve as a reference to a very
general, observably upcoming information society dilemma: information overload and attention
scarcity. In today's information-rich world, where people are overflooded with signals and
messages at all levels of perception and modalities (visual, auditory, tactile, olfactory),
the need to allocate attention efficiently among the overabundance of information sources
appears to be among the most demanding challenges for ICT mediated communication today. For
the design and implementation of novel, future ICT systems of all kinds, it is of high
interest to understand how spontaneous, local, individual attention to novel information
items occurs. Some two decades of HCI and pervasive/ubiquitous computing research have
clearly revealed that out of the many indicative design factors for modern ICT, human
attention is the first source of perception, consequently also awareness towards information
and other individuals. MinIAttention will create the foundational basis for attention-aware
ICT, i.e. develop (i) formal models of human attention along with (ii) multisensory
recognition architectures and reasoning algorithms to estimate and assess levels of human
attention, together with their (iii) embedding into ICT systems of everyday use.
Five international groups will collaborate to develop MinIAttention. JKU IPC has introduced
attention aware ICT in the Pervasive Computing scientific community, developed pionieering
methods and systems, and also promoted cognitive ICT to become a European research priority
(H2020). AKH KUK runs Austrias most advanced laparoscopic operation theater with cutting edge
technological equipment, Karl STORZ ENDOSKOPE is a worldwide leading surgical instrument
supplier. SUSSEX is among the worlds most renowned institutions in machine learning related
to wearable computing, as is FRI for vital state recognition.
