Neurophysiological Responses to Different Product Experiences

It is well known that the evaluation of a product from the shelf considers the simultaneous cerebral and emotional evaluation of the different qualities of the product such as its colour, the eventual images shown, and the envelope’s texture (hereafter all included in the term “product experience”). However, the measurement of cerebral and emotional reactions during the interaction with food products has not been investigated in depth in specialized literature. (e aim of this paper was to investigate such reactions by the EEG and the autonomic activities, as elicited by the cross-sensory interaction (sight and touch) across several different products. In addition, we investigated whether (i) the brand (Major Brand or Private Label), (ii) the familiarity (Foreign or Local Brand), and (iii) the hedonic value of products (Comfort Food or Daily Food) influenced the reaction of a group of volunteers during their interaction with the products. Results showed statistically significantly higher tendency of cerebral approach (as indexed by EEG frontal alpha asymmetry) in response to comfort food during the visual exploration and the visual and tactile exploration phases. Furthermore, for the same index, a higher tendency of approach has been found toward foreign food products in comparison with local food products during the visual and tactile exploration phase. Finally, the same comparison performed on a different index (EEG frontal theta) showed higher mental effort during the interaction with foreign products during the visual exploration and the visual and tactile exploration phases. Results from the present study could deepen the knowledge on the neurophysiological response to food products characterized by different nature in terms of hedonic value familiarity; moreover, they could have implications for food marketers and finally lead to further study on how people make food choices through the interactions with their commercial envelope

Poetry in Pandemic: A Multimodal Neuroaesthetic Study on the Emotional Reaction to the Divina Commedia Poem

Poetry elicits emotions, and emotion is a fundamental component of human ontogeny. Although neuroaesthetics is a rapidly developing field of research, few studies focus on poetry, and none address its different modalities of fruition (MOF) of universal cultural heritage works, such as the Divina Commedia (DC) poem. Moreover, alexithymia (AX) resulted in being a psychological risk factor during the Covid-19 pandemic. The present study aims to investigate the emotional response to poetry excerpts from different cantica (Inferno, Purgatorio, Paradiso) of DC with the dual objective of assessing the impact of both the structure of the poem and MOF and that of the characteristics of the acting voice in experts and non-experts, also considering AX. Online emotion facial coding biosignal (BS) techniques, self-reported and psychometric measures were applied to 131 literary (LS) and scientific (SS) university students. BS results show that LS globally manifest more JOY than SS in both reading and listening MOF and more FEAR towards Inferno. Furthermore, LS and SS present different results regarding NEUTRAL emotion about acting voice. AX influences listening in NEUTRAL and SURPRISE expressions. DC’s structure affects DISGUST and SADNESS during listening, regardless of participant characteristics. PLEASANTNESS varies according to DC’s structure and the acting voice, as well as AROUSAL, which is also correlated with AX. Results are discussed in light of recent findings in affective neuroscience and neuroaesthetics, suggesting the critical role of poetry and listening in supporting human emotional processing

Brain Response to Antismoking PSA, an EEG Study

Public service antismoke announcements (PSA) are essential tools for promoting messages worthy of society. In 2015 the Italian Government released an anti-smoking PSA to raise young people’s awareness of the smoking dangers. To demonstrate the effectiveness of that campaign, the present study investigated the mental response of 56 participants while watching the PSA through the Electroencephalogram (EEG). The EEG is frequently employed in neuromarketing to face the limitations of verbal declarations, allowing to evaluate the advertisings’ efficacy objectively. The present study analyzed the PSA, considering the smoking habit of participants by dividing them into smokers and nonsmokers. Some main segments of the PSA were identified and separately analyzed for evidencing the most effective part for the anti-smoking message. Three main EEG indexes have been explored in the analysis: mental engagement index (ME), spectral asymmetry index (SASI), and the mental effort index. The t-test performed on the index values showed an increase of the ME and the SASI for smokers compared to non-smokers (p<0.005). While the repeated measures ANOVA pointed out that the indexes were differently modulated by the parts of the PSA, showing the effectiveness of the smoking symptoms’ description and the claim at the brain level

Neurophysiological characterization of normal hearing and unilateral hearing loss children: a comparison among EEG-based indices for information processing and decision-making levels.

The identification of measurable indices of cerebral functions to be applied in clinical settings is ever more felt as necessary for a more thorough and objective evaluation of patients cognitive performance. In the present paper, the electroencephalographic-based indices of mental workload (WL = frontal θ/parietal α) and of mental engagement (ME = β/(α+θ)), calculated along the brain midline, have been employed to characterize the eventual specific patterns of cerebral activations during a speech in noise perception task in normal hearing (NH) and unilateral hearing loss (UHL) children. Results showed no differences between the groups for the frontal bilateral noise condition (in which both signal and noise were emitted by two loudspeakers placed +45° and -45° in relation to the participant), while in lateralized noise conditions the UHL group showed higher parietal ME values for the Noise to the Deaf Ear condition). Finally, the NH group showed a different distribution of ME values among frontal, central and parietal electrodes, with higher ME values in the central and parietal ones in correspondence of the Noise to the Left Ear condition. The WL index analysis did not provide any significant differences. Results suggest the relevance of including the analysis of the beta rhythm in the neurophysiological assessment of the neural processing of speech in noise stimuli in normal hearing and hearing impaired participants

Neurophysiological assessment of an innovative maritime safety system in terms of ship operators' mental workload, stress, and attention in the full mission bridge simulator

The current industrial environment relies heavily on maritime transportation. Despite the continuous technological advances for the development of innovative safety software and hardware systems, there is a consistent gap in the scientific literature regarding the objective evaluation of the performance of maritime operators. The human factor is profoundly affected by changes in human performance or psychological state. The difficulty lies in the fact that the technology, tools, and protocols for investigating human performance are not fully mature or suitable for experimental investigation. The present research aims to integrate these two concepts by (i) objectively characterizing the psychological state of mariners, i.e., mental workload, stress, and attention, through their electroencephalographic (EEG) signal analysis, and (ii) validating an innovative safety framework countermeasure, defined as Human Risk-Informed Design (HURID), through the aforementioned neurophysiological approach. The proposed study involved 26 mariners within a high-fidelity bridge simulator while encountering collision risk in congested waters with and without the HURID. Subjective, behavioral, and neurophysiological data, i.e., EEG, were collected throughout the experimental activities. The results showed that the participants experienced a statistically significant higher mental workload and stress while performing the maritime activities without the HURID, while their attention level was statistically lower compared to the condition in which they performed the experiments with the HURID (all p < 0.05). Therefore, the presented study confirmed the effectiveness of the HURID during maritime operations in critical scenarios and led the way to extend the neurophysiological evaluation of the HFs of maritime operators during the performance of critical and/or standard shipboard tasks

Measuring the emotional and cognitive consumers’ responses during interaction with marketing stimuli

This chapter presents some considerations about the employment of neuroscientific tool in real environments for measuring the brain and emotional activity during the consumers’ decision-making activities in different contexts of consumption and choice

Quality Assessment of Single-Channel EEG for Wearable Devices

International audienceThe recent embedding of electroencephalographic (EEG) electrodes in wearable devices raises the problem of the quality of the data recorded in such uncontrolled environments. These recordings are often obtained with dry single-channel EEG devices, and may be contaminated by many sources of noise which can compromise the detection and characterization of the brain state studied. In this paper, we propose a classification-based approach to effectively quantify artefact contamination in EEG segments, and discriminate muscular artefacts. The performance of our method were assessed on different databases containing either artificially contaminated or real artefacts recorded with different type of sensors, including wet and dry EEG electrodes. Furthermore, the quality of unlabelled databases was evaluated. For all the studied databases, the proposed method is able to rapidly assess the quality of the EEG signals with an accuracy higher than 90%. The obtained performance suggests that our approach provide an efficient, fast and automated quality assessment of EEG signals from low-cost wearable devices typically composed of a dry single EEG channel. View Full-Tex

Validation of an EEG-based neurometric for online monitoring and detection of mental drowsiness while driving

The driving drowsiness has been identified as one of the major causes of road traffic accidents, causing fatalities and permanent injuring. Drowsy drivers are prone to suddenly lose control of the car, mostly without any prior behavioral cue. The present study involved 19 participants in a simulated driving protocol, designed to induce mental drowsiness into the drivers. The objective of the study consisted in testing an innovative Electroencephalographic (EEG)-based index, the MDrow index, in detecting the driving drowsiness. Such an index, derived from parietal EEG channels, was already validated in our previous work achieving outstanding performance with respect to more conventional techniques. In this study, the possibility of obtaining a similar index from the frontal sites in order to foster its exploitation in real environments has been investigated. The results demonstrated the capability of the "frontal" MDrow index in evaluating the driving drowsiness experienced by the participants with performance comparable to that one previously validated over parietal sites. Also, the impact of the reduction of the electrodes number on index reliability has been investigated, in order to evaluate its compatibility with current wearable EEG devices

Mental effort estimation by passive BCI: a cross-subject analysis

Despite the technological advancements, the employment of passive brain computer interface (BCI) out of the laboratory context is still challenging. This is largely due to methodological reasons. On the one hand, machine learning methods have shown their potential in maximizing performance for user mental states classification. On the other hand, the issues related to the necessary and frequent calibration of algorithms and to the temporal resolution of the measurement (i.e. how long it takes to have a reliable state measure) are still unsolved. This work explores the performances of a passive BCI system for mental effort monitoring consisting of three frontal electroencephalographic (EEG) channels. In particular, three calibration approaches have been tested: an intra-subject approach, a cross-subject approach, and a free-calibration procedure based on the simple average of theta activity over the three employed channels. A Random Forest model has been employed in the first two cases. The results obtained during multi-tasking have shown that the cross-subject approach allows the classification of low and high mental effort with an AUC higher than 0.9, with a related time resolution of 45 seconds. Moreover, these performances are not significantly different from the intra-subject approach although they are significantly higher than the calibration-free approach. In conclusion, these results suggest that a light (three EEG channels) passive BCI system based on a Random Forest algorithm and cross-subject calibration could be a simple and reliable tool for out-of-the-lab employment

Soft-molecular imprinted electrospun scaffolds to mimic specific biological tissues

The fabrication of bioactive scaffolds able to mimic the in vivo cellular microenvironment is a challenge for regenerative medicine. The creation of sites for the selective binding of specific endogenous proteins represents an attractive strategy to fabricate scaffolds able to elicit specific cell response. Here, electrospinning (ESP) and soft-molecular imprinting (soft-MI) techniques were combined to fabricate a soft-molecular imprinted electrospun bioactive scaffold (SMIES) for tissue regeneration. Scaffolds functionalized using different proteins and growth factors (GFs) arranged onto the surface were designed, fabricated and validated with different polyesters, demonstrating the versatility of the developed approach. The scaffolds bound selectively each of the different proteins used, indicating that the soft-MI method allowed fabricating high affinity binding sites on ESP fibers compared to non-imprinted ones. The imprinting of ESP fibers with several GFs resulted in a significant effect on cell behavior. FGF-2 imprinted SMIES promoted cell proliferation and metabolic activity. BMP-2 and TGF-β3 imprinted SMIES promoted cellular differentiation. These scaffolds hold the potential to be used in a cell-free approach to steer endogenous tissue regeneration in several regenerative medicine applications