English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The aim of this study was to investigate the neural underpinnings and the time course of emoji recognition through the recording of event-related potentials in 51 participants engaged in a categorization task involving an emotional word paradigm. Forty-eight happy, sad, surprised, disgusted, fearful, angry emojis, and as many facial expressions, were used as stimuli. Behavioral data showed that emojis were recognized faster and more accurately (92.7%) than facial expressions displaying the same emotions (87.35%). Participants were better at recognizing happy, disgusted, and sad emojis, and happy and angry faces. Fear was difficult to recognize in both faces and emojis. The N400 response was larger to incongruently primed emojis and faces, while the opposite was observed for the P300 component. However, both N400 and P300 were considerably later in response to faces than emojis. The emoji-related N170 component (150–190 ms) discriminated stimulus affective content, similar to face-related N170, but its neural generators did not include the face fusiform area but the occipital face area (OFA) for processing face details, and object-related areas. Both faces and emojis activated the limbic system and the orbitofrontal cortex supporting anthropomorphization. The schematic nature of emojis might determine an easier classification of their emotional content.

Emojis vs. facial expressions: An electrical neuroimaging study on perceptual recognition