ArticleFrontiers in human neuroscience2018
Neurophysiological Measures of the Perception of Antismoking Public Service Announcements Among Young Population.
Article in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed.
- Explainable artificial intelligence in air traffic control: effects of expertise on workload, acceptance, and usage intentions.Brain informatics · 2026Article
- Effects of smoking social cues on brand perception and smoking: an event-related potential study.Frontiers in psychiatry · 2025Article
- Neurophysiological Assessment of An Innovative Maritime Safety System in Terms of Ship Operators' Mental Workload, Stress, and Attention in the Full Mission Bridge Simulator.Brain sciences · 2023Article
- Time-Dependent Analysis of Human Neurophysiological Activities during an Ecological Olfactory Experience.Brain sciences · 2023Article
- Virtual and Reality: A Neurophysiological Pilot Study of the Sarcophagus of the Spouses.Brain sciences · 2023Article
- Music in noise recognition: An EEG study of listening effort in cochlear implant users and normal hearing controls.PloS one · 2023Article
- A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research.Brain informatics · 2022Review
- How Does the Implicit Awareness of Consumers Influence the Effectiveness of Public Service Announcements? A Functional Near-Infrared Spectroscopy Study.Frontiers in psychology · 2022Article
- EEG-Based Index for Timely Detecting User's Drowsiness Occurrence in Automotive Applications.Frontiers in human neuroscience · 2022Article
- Eye tracking applied to tobacco smoking: current directions and future perspectives.Journal of eye movement research · 2022Article
- Neuroscientific Methods for Exploring User Perceptions While Dealing With Mobile Advertising: A Novel and Integrated Approach.Frontiers in neuroergonomics · 2022Article
- NeuroDante: Poetry Mentally Engages More Experts but Moves More Non-Experts, and for Both the Cerebral Approach Tendency Goes Hand in Hand with the Cerebral Effort.Brain sciences · 2021Article
- Forefront Users' Experience Evaluation by Employing Together Virtual Reality and Electroencephalography: A Case Study on Cognitive Effects of Scents.Brain sciences · 2021Article
- Electroencephalography Correlates of Well-Being Using a Low-Cost Wearable System.Frontiers in human neuroscience · 2021Article
- Article
- The Dry Revolution: Evaluation of Three Different EEG Dry Electrode Types in Terms of Signal Spectral Features, Mental States Classification and Usability.Sensors (Basel, Switzerland) · 2019Article
- Consumer Behaviour through the Eyes of Neurophysiological Measures: State-of-the-Art and Future Trends.Computational intelligence and neuroscience · 2019Review
- How Neurophysiological Measures Can be Used to Enhance the Evaluation of Remote Tower Solutions.Frontiers in human neuroscience · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tobacco constitutes a global emergency with totally preventable millions of deaths per year and smoking-related illnesses. Public service announcements (PSAs) are the main tool against smoking and by now their efficacy is still assessed through questionnaires and metrics, only months after their circulation. The present study focused on the young population, because at higher risk of developing tobacco addiction, investigating the reaction to the vision of Effective, Ineffective and Awarded antismoking PSAs through: electroencephalography (EEG), autonomic activity variation (Galvanic skin response-GSR- and Heart Rate-HR-) and Eye-Tracking (ET). The employed indices were: the EEG frontal alpha band asymmetry and the frontal theta; the Emotional Index (EI), deriving from the GSR and HR signals matching; the ET Visual Attention (VA) index, based on the ratio between the total time spent fixating an area of interest (AOI) and its area. Smokers expressed higher frontal alpha asymmetry values in comparison to non-smokers. Concerning frontal theta, Awarded PSAs reported the highest values in comparison to both Effective and Ineffective PSAs. EI results highlighted that lowest values were expressed by Heavy Smokers (HS), and Effective PSAs obtained the highest EI values. Finally, concerning the Effective PSAs, regression analysis highlighted a correlation between the number of cigarettes smoked by participants (independent variable) and frontal alpha asymmetry, frontal theta and EI values. ET results suggested that for the Ineffective PSAs the main focus were texts, while for the Effective and Awarded PSAs were the visual elements. Results support the use of methods aimed at assessing the physiological reaction for the evaluation of PSAs images, in particular when considering the smoking habits of target populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.