Evidence map›Paper›PMID 33572833›Full record

ArticleSensors (Basel, Switzerland)2021

Feeling of Safety and Comfort towards a Socially Assistive Unmanned Aerial Vehicle That Monitors People in a Virtual Home.

Lidia M Belmonte, Arturo S García, Rafael Morales, Jose Luis de la Vara, Francisco López de la Rosa, Antonio Fernández-Caballero

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

2 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 2 institutions in 1 country.

Lidia M BelmonteDepartamento de Ingeniería Eléctrica, Electrónica, Automática y Comunicaciones, Universidad de Castilla-La Mancha, 02071 Albacete, Spain.ORCID 0000-0002-6094-7197
Arturo S GarcíaInstituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, 02071 Albacete, Spain.ORCID 0000-0003-0671-324X
Rafael MoralesDepartamento de Ingeniería Eléctrica, Electrónica, Automática y Comunicaciones, Universidad de Castilla-La Mancha, 02071 Albacete, Spain.ORCID 0000-0002-9327-8030
Jose Luis de la VaraInstituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, 02071 Albacete, Spain.ORCID 0000-0003-1813-398X
Francisco López de la RosaInstituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, 02071 Albacete, Spain.
Antonio Fernández-CaballeroInstituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, 02071 Albacete, Spain.ORCID 0000-0002-8211-0398
University of Castilla-La Mancha · ESCentro de Investigación Biomédica en Red de Salud Mental · ES

Funding

Agencia Estatal de Investigación EQC2019-006063-PAgencia Estatal de Investigación PCI2020-112001Agencia Estatal de Investigación PCI2020-112240Agencia Estatal de Investigación RYC-2017-22836European Commission 876659European Commission 876852Junta de Comunidades de Castilla-La Mancha SBPLY/19/180501/000270
6 · The paper itself

Abstract

Unmanned aerial vehicles (UAVs) represent a new model of social robots for home care of dependent persons. In this regard, this article introduces a study on people's feeling of safety and comfort while watching the monitoring trajectory of a quadrotor dedicated to determining their condition. Three main parameters are evaluated: the relative monitoring altitude, the monitoring velocity and the shape of the monitoring path around the person (ellipsoidal or circular). For this purpose, a new trajectory generator based on a state machine, which is successfully implemented and simulated in MATLAB/Simulink

Indexed as

feeling of safety and comfortMATLAB/SimulinkMQTTsocial robottrajectory planningunmanned aerial vehicle (uav)virtual reality

Identifiers

PMID33572833
PMCPMC7866270
OpenAlexW3129138577

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.