Evidence map›Paper›PMID 42845869›Full record

ArticleFrontiers in robotics and AI2026

Tactile regulation with pocket-sized robots: reducing movement and heart rate in children through hand-held interaction.

Morten Roed Frederiksen, Kasper Støy, Maja Matarić

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2026. 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

3 authors.

Morten Roed FrederiksenData Systems and Robotics, IT-University of Copenhagen, Copenhagen, Denmark.
Kasper StøyInteraction Lab, University of Southern California, Los Angeles, CA, United States.
Maja MatarićData Systems and Robotics, IT-University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Periods of heightened arousal or restlessness can interfere with children's ability to remain physically calm in everyday settings such as classrooms. Handheld tactile technologies may offer a simple and engaging way to support brief moments of structured sensory-motor engagement. This paper investigates how a pocket-sized tactile device influences physiological and behavioral markers of calmness in typically developing children. Building on prior work examining heart-rate modulation, we present new findings on how a handheld rhythm-matching interaction affects full-body movement and postural stability. Eighteen children participated in a within-subjects study involving two conditions: active interaction with a handheld tactile rhythm-matching game and a comparison condition in which they held the same device with the tactile interaction disabled. Results showed lower heart rate during active interaction, with an average reduction of 3.37 bpm (p = 0.019), and lower overall body movement, with movement decreasing by 37.6% (p = 0.002). Regional movement analyses showed the largest reductions in head, neck, and shoulder movement (44.8% reduction) and upper-limb movement (48.5% reduction). These findings suggest that brief tactile rhythm-matching interaction with a handheld device is associated with reduced acute physiological arousal and physical restlessness in children. The study provides a preliminary baseline for future work examining how tactile robotic interactions may support calmness in more demanding or stressful contexts.

Indexed as

behavioral interventionsembodied interactionheart ratemovement regulationpocket-sized tactile devicesrestlessnessroboticstactile interaction

Identifiers

PMID42845869
PMCPMC13642002

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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.