Evidence map›Paper›PMID 36565368›Full record

ArticleInternational journal of computer assisted radiology and surgery2023

A multimodal user interface for touchless control of robotic ultrasound.

Josefine Schreiter, Tonia Mielke, Danny Schott, Maximilian Thormann, Jazan Omari, Maciej Pech, Christian Hansen

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Josefine SchreiterFaculty of Computer Science and Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany.
Tonia MielkeFaculty of Computer Science and Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany.
Danny SchottFaculty of Computer Science and Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany.
Maximilian ThormannUniversity Hospital of Magdeburg, University of Magdeburg, Magdeburg, Germany.
Jazan OmariUniversity Hospital of Magdeburg, University of Magdeburg, Magdeburg, Germany.
Maciej PechUniversity Hospital of Magdeburg, University of Magdeburg, Magdeburg, Germany.
Christian HansenFaculty of Computer Science and Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany. hansen@isg.cs.uni-magdeburg.de.ORCID http://orcid.org/0000-0002-5734-7529

Funding

Bundesministerium für Bildung und Forschung 13GW0473A
6 · The paper itself

Abstract

purposePast research contained the investigation and development of robotic ultrasound. In this context, interfaces which allow for interaction with the robotic system are of paramount importance. Few researchers have addressed the issue of developing non-tactile interaction approaches, although they could be beneficial for maintaining sterility during medical procedures. Interaction could be supported by multimodality, which has the potential to enable intuitive and natural interaction. To assess the feasibility of multimodal interaction for non-tactile control of a co-located robotic ultrasound system, a novel human-robot interaction concept was developed.

methodsThe medical use case of needle-based interventions under hybrid computed tomography and ultrasound imaging was analyzed by interviewing four radiologists. From the resulting workflow, interaction tasks were derived which include human-robot interaction. Based on this, characteristics of a multimodal, touchless human-robot interface were elaborated, suitable interaction modalities were identified, and a corresponding interface was developed, which was thereafter evaluated in a user study with eight participants.

resultsThe implemented interface includes voice commands, combined with hand gesture control for discrete control and navigation interaction of the robotic US probe, respectively. The interaction concept was evaluated by the users in the form of a quantitative questionnaire with a average usability. Qualitative analysis of interview results revealed user satisfaction with the implemented interaction methods and potential improvements to the system.

conclusionA multimodal, touchless interaction concept for a robotic US for the use case of needle-based procedures in interventional radiology was developed, incorporating combined voice and hand gesture control. Future steps will include the integration of a solution for the missing haptic feedback and the evaluation of its clinical suitability.

Indexed as

RoboticsRobotic Surgical ProceduresGesturesHumansUltrasonographyUser-Computer InterfaceHuman–robot interactionMultimodal interfaceRobotic ultrasoundTouchless interaction

Identifiers

PMID36565368
PMCPMC10363039

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.