Evidence map›Paper›PMID 38235255›Full record

ReviewFrontiers in neuroergonomics2021

Unlocking the Subconscious Consumer Bias: A Survey on the Past, Present, and Future of Hybrid EEG Schemes in Neuromarketing.

Fotis P Kalaganis, Kostas Georgiadis, Vangelis P Oikonomou, Nikos A Laskaris, Spiros Nikolopoulos, Ioannis Kompatsiaris

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neuroergonomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Brain informatics · 2022
    Article
  10. 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.

Fotis P KalaganisMKLab, Center for Research and Technology Hellas, Information Technologies Institute, Thessaloniki, Greece.
Kostas GeorgiadisMKLab, Center for Research and Technology Hellas, Information Technologies Institute, Thessaloniki, Greece.
Vangelis P OikonomouArtificial Intelligence & Information Analysis Lab, Department of Informatics, School of Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Nikos A LaskarisMKLab, Center for Research and Technology Hellas, Information Technologies Institute, Thessaloniki, Greece.
Spiros NikolopoulosArtificial Intelligence & Information Analysis Lab, Department of Informatics, School of Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Ioannis KompatsiarisArtificial Intelligence & Information Analysis Lab, Department of Informatics, School of Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Aristotle University of Thessaloniki · GRInformation Technologies Institute · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fueled by early success stories, the neuromarketing domain advanced rapidly during the last 10 years. As exciting new techniques were being adapted from medical research to the commercial domain, many neuroscientists and marketing practitioners have taken the chance to exploit them so as to uncover the answers of the most important marketing questions. Among the available neuroimaging technologies, electroencephalography (EEG) stands out as the less invasive and most affordable method. While not equally precise as other neuroimaging technologies in terms of spatial resolution, it can capture brain activity almost at the speed of cognition. Hence, EEG constitutes a favorable candidate for recording and subsequently decoding the consumers' brain activity. However, despite its wide use in neuromarketing, it cannot provide the complete picture alone. In order to overcome the limitations imposed by a single monitoring method, researchers focus on more holistic approaches. The exploitation of hybrid EEG schemes (e.g., combining EEG with eye-tracking, electrodermal activity, heart rate, and/or other) is ever growing and will hopefully allow neuromarketing to uncover consumers' behavior. Our survey revolves around last-decade hybrid neuromarketing schemes that involve EEG as the dominant modality. Beyond covering the relevant literature and state-of-the-art findings, we also provide future directions on the field, present the limitations that accompany each of the commonly employed monitoring methods and briefly discuss the omni-present ethical scepticizm related to neuromarketing.

Indexed as

consumer neuroscienceEEGeye trackerhybridmultimodalneuromarketingreviewsurvey

Identifiers

PMID38235255
PMCPMC10790945
OpenAlexW3163388321

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.