Evidence map›Paper›PMID 35052129›Full record

ArticleEntropy (Basel, Switzerland)2022

Validation of an Aesthetic Assessment System for Commercial Tasks.

Nereida Rodriguez-Fernandez, Sara Alvarez-Gonzalez, Iria Santos, Alvaro Torrente-Patiño, Adrian Carballal, Juan Romero

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2022. 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

6 authors.

Nereida Rodriguez-FernandezDepartment of Computer Science and Information Technologies, Faculty of Communication Science, University of A Coruña, 15071 A Coruña, Spain.ORCID 0000-0003-1412-5253
Sara Alvarez-GonzalezDepartment of Computer Science and Information Technologies, Faculty of Communication Science, University of A Coruña, 15071 A Coruña, Spain.ORCID 0000-0003-2426-5495
Iria SantosDepartment of Computer Science and Information Technologies, Faculty of Communication Science, University of A Coruña, 15071 A Coruña, Spain.ORCID 0000-0002-4910-3890
Alvaro Torrente-PatiñoDepartment of Computer Science and Information Technologies, Faculty of Communication Science, University of A Coruña, 15071 A Coruña, Spain.ORCID 0000-0002-5774-927X
Adrian CarballalDepartment of Computer Science and Information Technologies, Faculty of Communication Science, University of A Coruña, 15071 A Coruña, Spain.ORCID 0000-0002-2963-7318
Juan RomeroDepartment of Computer Science and Information Technologies, Faculty of Communication Science, University of A Coruña, 15071 A Coruña, Spain.ORCID 0000-0001-5566-5382

Funding

This work is supported by the General Directorate of Culture, Education and University Management of Xunta de Galicia (Ref. ED431D 201716) and Competitive Reference Groups(Ref. ED431C 201849). We also wish to acknowledge the support received from the Cent ED431G 2019/01
6 · The paper itself

Abstract

Automatic prediction of the aesthetic value of images has received increasing attention in recent years. This is due, on the one hand, to the potential impact that predicting the aesthetic value has on practical applications. Even so, it remains a difficult task given the subjectivity and complexity of the problem. An image aesthetics assessment system was developed in recent years by our research group. In this work, its potential to be applied in commercial tasks is tested. With this objective, a set of three portals and three real estate agencies in Spain were taken as case studies. Images of their websites were taken to build the experimental dataset and a validation method was developed to test their original order with another proposed one according to their aesthetic value. So, in this new order, the images that have the high aesthetic score by the AI system will occupy the first positions of the portal. Relevant results were obtained, with an average increase of 52.54% in the number of clicks on the ads, in the experiment with Real Estate portals. A statistical analysis prove that there is a significant difference in the number of clicks after selecting the images with the AI system.

Indexed as

aestheticsdigital imagese-commercereal estatevalidation

Identifiers

PMID35052129
PMCPMC8774337

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.