bioRxivNeurosciencePreprint
Behavioral and ERP Markers of Emotion Recognition: Comparing Embodied, Facial, and Emoji Stimuli
Munna Rajeev ShainyiD, Arun SasidharaniD, Vrinda MarigowdaiD, Prashansa TripathiiD, Varsha VijayaniD, Advait BasakiD, Meghna SekhariD, Sumit SharmaiD
Abstract
While extensive research has been conducted on emotion recognition from facial stimuli, it remains unclear how embodied emotional cues conveyed through body postures, gestures and actions (e.g., stick figures) compare with facial (human faces) and face-like symbolic representations (emoji faces) in shaping behavioral and neural responses. We employed a multimodal approach, combining behavioral measures (accuracy and reaction time) with electroencephalography (EEG) to examine the electrophysiological correlates of emotion recognition. Overall, sixty-six (equal number of males and females; 18-30 year old) participants identified positive, negative, and neutral emotions depicted in the three formats. Behavioral results showed significant effects of both emotion and format on accuracy and reaction time. Emoji faces were recognized with the highest accuracy and fastest reaction times, followed by stick figures and then human faces (p .05). Correlation analyses revealed no significant associations between ERP and behavioral measures. Thus, abstract, minimalistic representations like stick figures elicit enhanced early emotion-related processing despite similar early and later processing across formats. HighlightsO_LIEmotion recognition across realistic (human faces), symbolic (emoji faces) and embodied (stick figures) modalities were compared. C_LIO_LIEmotions were recognized fastest and most accurately in emoji faces format. C_LIO_LIStick figures format elicited significantly higher EPN compared to other two formats across positive and negative emotions. C_LIO_LINo significant differences were observed in terms of N170 and LPP. C_LIO_LIEmbodied, abstract emotional cues modulate automatic emotional appraisal, rather than initial sensory encoding and sustained cognitive evaluation. C_LI
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Modulation of early level EEG signatures by distributed facial emotion cues
Diana Costa, Camila Dias, … Miguel S. Castelo-Branco·bioRxiv·Mar 3, 2021
- Shared Neural Codes for Emotion Recognition in Emoji and Human Faces
Madeline Molly Ely, Chloe Kelsey, Géza Gergely Ambrus·PsychophysiologyPeer-reviewed·Mar 1, 2026
- Not quite human, not quite machine: Electrophysiological responses to robot faces.
Allie R. Geiger, Benjamin Balas·bioRxiv·Jun 11, 2020
- Unraveling emotional signatures: comparing physiological methods and algorithm-based recognition of spontaneous emotional facial expressions
Sebastian Scholz, Johanna Kißler·bioRxiv·Aug 10, 2026
- Object representations drive emotion schemas across a large and diverse set of daily-life scenes
Chuanji Gao, Susan Ajith, Marius V. Peelen·Communications BiologyPeer-reviewed·May 5, 2025
- Acoustic features of emotional vocalisations account for early modulations of event-related brain potentials
Yichen Tang, Paul Michael Corballis, Luke E. Hallum·bioRxiv·Jan 21, 2026