Evidence map›Paper›PMID 40606758›Full record

ArticleiScience2025

Collaborating with a robot biases human spatial attention.

Giulia Scorza Azzarà, Joshua Zonca, Francesco Rea, Joo-Hyun Song, Alessandra Sciutti

Abstract read
In one paragraph

Article in iScience, 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.

Giulia Scorza AzzaràRobotics Brain and Cognitive Sciences Unit, Italian Institute of Technology, 16152 Genoa, GE, Italy.
Joshua ZoncaCognitive Architecture for Collaborative Technologies (CONTACT) Unit, Italian Institute of Technology, 16152 Genoa, GE, Italy.
Francesco ReaCognitive Architecture for Collaborative Technologies (CONTACT) Unit, Italian Institute of Technology, 16152 Genoa, GE, Italy.
Joo-Hyun SongDepartment of Cognitive & Psychological Sciences, Brown University, Providence, RI 02912, USA.
Alessandra SciuttiCognitive Architecture for Collaborative Technologies (CONTACT) Unit, Italian Institute of Technology, 16152 Genoa, GE, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advancements in collaborative technologies have increased the accessibility of human-robot interaction (HRI), yet a gap remains in understanding how HRI affects human systems. This work investigates how HRI influences human visual processing, specifically through the near-hand effect, a phenomenon where the proximity of one's hand enhances spatial attention. Research has shown that this attentional priority can extend to another person's hand during collaborative tasks, integrating it into an individual's body schema. A critical question arises: can a robot's anthropomorphic hand similarly bias human attentional priority? Our findings revealed that collaborative HRI facilitates target detection near the robot's hand, an effect absent before the interaction. Additionally, we examined social and kinematic metrics that enhance this attentional shift by fostering joint body schema formation. These results highlight that HRI can shape human visual processing and body schema integration, offering insight into the interplay between our perceptual and cognitive systems and robotic collaborators.

Indexed as

Classification DescriptionRoboticsSocial sciences

Identifiers

PMID40606758
PMCPMC12221521

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.