Evidence map›Paper›PMID 40809337›Full record

ArticleFrontiers in robotics and AI2025

Robot System Assistant (RoSA): evaluation of touch and speech input modalities for on-site HRI and telerobotics.

Dominykas Strazdas, Matthias Busch, Rijin Shaji, Ingo Siegert, Ayoub Al-Hamadi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in robotics and AI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Dominykas StrazdasNeuro-Information Technology Group, Faculty of Electrical Engineering and Information Technology, Otto-von-Guericke-University, Magdeburg, Germany.
Matthias BuschMobile Dialog Systems, Faculty of Electrical Engineering and Information Technology, Otto-von-Guericke-University, Magdeburg, Germany.
Rijin ShajiNeuro-Information Technology Group, Faculty of Electrical Engineering and Information Technology, Otto-von-Guericke-University, Magdeburg, Germany.
Ingo SiegertMobile Dialog Systems, Faculty of Electrical Engineering and Information Technology, Otto-von-Guericke-University, Magdeburg, Germany.
Ayoub Al-HamadiNeuro-Information Technology Group, Faculty of Electrical Engineering and Information Technology, Otto-von-Guericke-University, Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Future work scenarios envision increased collaboration between humans and robots, emphasizing the need for versatile interaction modalities. Robotic systems can support various use cases, including on-site operations and telerobotics. This study investigates a hybrid interaction model in which a single user engages with the same robot both on-site and remotely. Specifically, the Robot System Assistant (RoSA) framework is evaluated to assess the effectiveness of touch and speech input modalities in these contexts. The participants interact with two robots,

Indexed as

cobothuman-robot interactionmultimodalremote roboticsspeechteleroboticstouchuser study

Identifiers

PMID40809337
PMCPMC12343565

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.