Naturalistic viewing conditions can increase task engagement and aesthetic preference but have only minimal impact on EEG quality

Welke, Dominik; Vessel, Edward A.

doi:10.1016/j.neuroimage.2022.119218

Cited by 13 publications

(12 citation statements)

References 122 publications

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“…The subjects also reported that the medium and fast speeds, as well as the advertisement video, were more emotionally moving compared to the slow speed and the landscape video. In contrast to previous findings, no difference in aesthetic pleasure was found for the two videos [48] and the three Tetris speeds.…”

Section: Cross-task Validitycontrasting

confidence: 99%

Real-time estimation of EEG-based engagement in different tasks

Natalizio,

Sieghartsleitner,

Schreiner

et al. 2024

J. Neural Eng.

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Objective: Recent trends in brain-computer interface (BCI) research concern the passive monitoring of brain activity, which aim to monitor a wide variety of cognitive states. Engagement is such a cognitive state, which is of interest in contexts such as learning, entertainment or rehabilitation. This study proposes a novel approach for real-time estimation of engagement during different tasks using electroencephalography (EEG).Approach: Twenty-three healthy subjects participated in the BCI experiment. A modified version of the d2 test was used to elicit engagement. Within-subject classification models which discriminate between engaging and resting states were trained based on EEG recorded during a d2 test based paradigm. The EEG was recorded using eight electrodes and the classification model was based on Filter-Bank Common Spatial Patterns and a Linear Discriminant Analysis. The classification models were evaluated in cross-task applications, namely when playing Tetris at different speeds (i.e., slow, medium, fast) and when watching two videos (i.e., advertisement and landscape video). Additionally, subjects’ perceived engagement was quantified using a questionnaire.Main results: The models achieved a classification accuracy of 90 % on average when tested on an independent d2 test paradigm recording. Subjects’ perceived and estimated engagement were found to be greater during the advertisement compared to the landscape video (p = 0.025 and p < 0.001, respectively); greater during medium and fast compared to slow Tetris speed (p < 0.001, respectively); not different between medium and fast Tetris speeds. Additionally, a common linear relationship was observed for perceived and estimated engagement (rrm = 0.44, p < 0.001). Finally, theta and alpha band powers were investigated, which respectively increased and decreased during more engaging states.Significance: This study proposes a task-specific EEG engagement estimation model with cross-task capabilities, offering a framework for real-world applications.

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Section: Cross-task Validitycontrasting

confidence: 99%

Real-time estimation of EEG-based engagement in different tasks

Natalizio,

Sieghartsleitner,

Schreiner

et al. 2024

J. Neural Eng.

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“…In our experimental paradigm, we asked participants to fixate on a central cross and refrain from eyeblinks and eye movements during the video presentation since eyeblinks and eye movements contaminate EEG signals. A recent study, however, reported that naturalistic viewing conditions allowing participants’ eyeblinks and eye movements could enhance task engagement in an aesthetic rating task with a minimal impact on the quality of EEG signals 6 . We, therefore, think that a more liberal naturalistic viewing condition can be a better paradigm enhancing the engagement and memory of viewers in our future studies.…”

Section: Discussionmentioning

confidence: 98%

Spatiotemporal consistency of neural responses to repeatedly presented video stimuli accounts for population preferences

Hoshi

Hirayama

Saito

et al. 2023

Sci Rep

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Population preferences for video advertisements vary across short video clips. What underlies these differences? Repeatedly watching a video clip may produce a consistent spatiotemporal pattern of neural activity that is dependent on the individual and the stimulus. Moreover, such consistency may be associated with the degree of engagement and memory of individual viewers. Since the population preferences are associated with the engagement and memory of the individual viewers, the consistency observed in a smaller group of viewers can be a predictor of population preferences. To test the hypothesis, we measured the degree of inter-trial consistency in participants’ electroencephalographic (EEG) responses to repeatedly presented television commercials. We observed consistency in the neural activity patterns across repetitive views and found that the similarity in the spatiotemporal patterns of neural responses while viewing popular television commercials predicts population preferences obtained from a large audience. Moreover, a regression model that used two datasets, including two separate groups of participants viewing different stimulus sets, showed good predictive performance in a leave-one-out cross-validation. These findings suggest that universal spatiotemporal patterns in EEG responses can account for population-level human behaviours.

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“…Comparing the current results with studies using static stimuli further prompts the question whether neural rhythms are similarly associated with extracting aesthetic appeal for static and dynamic inputs. There are two reasons to expect that rhythmic neural correlates of beauty are more efficiently retrieved with moving stimuli: First, moving stimuli have been reported to be more engaging and to lead to stronger aesthetic experiences [7], which may enhance neural representations of beauty, too. Second, responses to static stimuli are largely driven by evoked visual responses, so that spectral analyses on such data may be driven by frequency components contained in the evoked response.…”

Section: Discussionmentioning

confidence: 99%

“…Research in neuroaesthetics has made great progress by studying responses to static naturalistic images, such as pictures of faces [1][2][3] and scenes [4][5][6]. However, recent investigations suggest that dynamic, compared to static, visual stimuli can evoke stronger feelings of beauty and greater task engagement [7]. So far, only few studies focused on such dynamic aesthetic experiences.…”

Section: Introductionmentioning

confidence: 99%

Spectral brain signatures of aesthetic natural perception in the alpha and beta frequency bands

Kaiser

2022

Preprint

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During our everyday lives, visual beauty is often conveyed by sustained and dynamic visual stimulation, such as when we walk through an enchanted forest or watch our pets playing. Here, I devised an MEG experiment that mimics such situations: Participants viewed 8s videos of everyday situations and rated their beauty. Using multivariate analysis, I linked aesthetic ratings to (1) sustained MEG broadband responses and (2) spectral MEG responses in the alpha and beta frequency bands. These effects were not accounted for by a set of high- and low-level visual descriptors of the videos, suggesting that they are genuinely related to aesthetic perception. My findings provide a first characterization of spectral brain signatures linked to aesthetic experiences in the real world.

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Naturalistic viewing conditions can increase task engagement and aesthetic preference but have only minimal impact on EEG quality

Cited by 13 publications

References 122 publications

Real-time estimation of EEG-based engagement in different tasks

Real-time estimation of EEG-based engagement in different tasks

Spatiotemporal consistency of neural responses to repeatedly presented video stimuli accounts for population preferences

Spectral brain signatures of aesthetic natural perception in the alpha and beta frequency bands

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