Evidence map›Paper›PMID 39727773›Full record

ArticleBiomimetics (Basel, Switzerland)2024

Analyzing the Impact of Responding to Joint Attention on the User Perception of the Robot in Human-Robot Interaction.

Jesús García-Martínez, Juan José Gamboa-Montero, José Carlos Castillo, Álvaro Castro-González

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 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

4 authors.

Jesús García-MartínezDepartment of Systems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad, 30, 28911 Leganes, Spain.ORCID 0000-0003-3615-3722
Juan José Gamboa-MonteroDepartment of Systems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad, 30, 28911 Leganes, Spain.ORCID 0000-0001-7845-5812
José Carlos CastilloDepartment of Systems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad, 30, 28911 Leganes, Spain.ORCID 0000-0003-0454-9466
Álvaro Castro-GonzálezDepartment of Systems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad, 30, 28911 Leganes, Spain.ORCID 0000-0002-5189-0002

Funding

Agencia Estatal de Investigación (AEI), Spanish Ministerio de Ciencia e Innovación PDC2022-133518-I00Agencia Estatal de Investigación (AEI), Spanish Ministerio de Ciencia e Innovación PID2021-123941OAI00Agencia Estatal de Investigación (AEI), Spanish Ministerio de Ciencia e Innovación PID2022-140345OB-I00Agencia Estatal de Investigación (AEI), Spanish Ministerio de Ciencia e Innovación TED2021-132079BI00
6 · The paper itself

Abstract

The concept of joint attention holds significant importance in human interaction and is pivotal in establishing rapport, understanding, and effective communication. Within social robotics, enhancing user perception of the robot and promoting a sense of natural interaction with robots becomes a central element. In this sense, emulating human-centric qualities in social robots, such as joint attention, defined as the ability of two or more individuals to focus on a common event simultaneously, can increase their acceptability. This study analyses the impact on user perception of a responsive joint attention system integrated into a social robot within an interactive scenario. The experimental setup involves playing against the robot in the "Odds and Evens" game under two conditions: whether the joint attention system is active or inactive. Additionally, auditory and visual distractors are employed to simulate real-world distractions, aiming to test the system's ability to capture and follow user attention effectively. To assess the influence of the joint attention system, participants completed the Robotic Social Attributes Scale (RoSAS) after each interaction. The results showed a significant improvement in user perception of the robot's competence and warmth when the joint attention system was active.

Indexed as

attentionHuman-Robot Interactionjoint attentionresponding joint attentionrobot perceptionsocial robotsstimuli

Identifiers

PMID39727773
PMCPMC11727211

What OpenQuestion holds

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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.