In a 42-participant field study, Microsoft Kinect was found more useful and easier to use than the Leap Motion Controller, while the Leap Motion Controller was more accurate for manipulating CT images¶
Claim · All claims
Evidence · 1 study · reviewr3·q2
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? In a two-strand sequential observational study with 42 radiologists, surgeons and interventional radiologists, MK was rated more useful and easier to use but the LMC was more accurate, with marginal to average acceptability for both devices. → Alvarez-Lopez F 2019
Evidence¶
Alvarez-Lopez F 2019¶
Alvarez-Lopez F, Maina MF, Saigí-Rubió F. (2019). Use of Commercial Off-The-Shelf Devices for the Detection of Manual Gestures in Surgery: Systematic Literature Review. Journal of Medical Internet Research. https://doi.org/10.2196/11925
q2 · i? · review · r3
Observational comparative field study (study [77]) of MK versus LMC for manipulating CT images with 42 participants (radiologists, surgeons, interventional radiologists) using a semi-structured questionnaire. The review reports "MK was found to be more useful and easier to use, but the LMC was more accurate".
"Marginal to average acceptability of the 2 devices. MK was found to be more useful and easier to use, but the LMC was more accurate."
Discussion¶
Related Claims¶
- The most common use of gesture-based COTS devices in surgery was image manipulation in interventional radiology environments or the operating room (42 studies), followed by virtual or augmented reality for educational or interventional purposes (16 studies)
- Microsoft Kinect and the Leap Motion Controller were the most widely used COTS gesture-detection devices in surgical research, appearing in 50% and 36% of the 86 included studies respectively
- Finger-motion sensor (Leap Motion Controller) operation of angiographic and radiological images was significantly faster than mouse-based operation in observational studies with radiologists and dental students
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