Evidence map›Paper›PMID 37519379›Full record

ArticleFrontiers in psychology2023

Can the robot "see" what I see? Robot gaze drives attention depending on mental state attribution.

Lucas Morillo-Mendez, Rebecca Stower, Alex Sleat, Tim Schreiter, Iolanda Leite, Oscar Martinez Mozos, Martien G S Schrooten

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Lucas Morillo-MendezCentre for Applied Autonomous Sensor Systems, Örebro University, Örebro, Sweden.
Rebecca StowerDivision of Robotics, Perception and Learning, KTH, Stockholm, Sweden.
Alex SleatDivision of Robotics, Perception and Learning, KTH, Stockholm, Sweden.
Tim SchreiterCentre for Applied Autonomous Sensor Systems, Örebro University, Örebro, Sweden.
Iolanda LeiteDivision of Robotics, Perception and Learning, KTH, Stockholm, Sweden.
Oscar Martinez MozosCentre for Applied Autonomous Sensor Systems, Örebro University, Örebro, Sweden.
Martien G S SchrootenSchool of Behavioral, Social, and Legal Sciences, Örebro University, Örebro, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mentalizing, where humans infer the mental states of others, facilitates understanding and interaction in social situations. Humans also tend to adopt mentalizing strategies when interacting with robotic agents. There is an ongoing debate about how inferred mental states affect gaze following, a key component of joint attention. Although the gaze from a robot induces gaze following, the impact of mental state attribution on robotic gaze following remains unclear. To address this question, we asked forty-nine young adults to perform a gaze cueing task during which mental state attribution was manipulated as follows. Participants sat facing a robot that turned its head to the screen at its left or right. Their task was to respond to targets that appeared either at the screen the robot gazed at or at the other screen. At the baseline, the robot was positioned so that participants would perceive it as being able to see the screens. We expected faster response times to targets at the screen the robot gazed at than targets at the non-gazed screen (i.e., gaze cueing effect). In the experimental condition, the robot's line of sight was occluded by a physical barrier such that participants would perceive it as unable to see the screens. Our results revealed gaze cueing effects in both conditions although the effect was reduced in the occluded condition compared to the baseline. These results add to the expanding fields of social cognition and human-robot interaction by suggesting that mentalizing has an impact on robotic gaze following.

Indexed as

attentioncueing effectgaze followingintentional stancementalizingsocial robots

Identifiers

PMID37519379
PMCPMC10374202

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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.