scholarly journals Multidimensional stimulus-response correlation reveals supramodal neural responses to naturalistic stimuli

2016 ◽  
Author(s):  
Jacek P. Dmochowski ◽  
Jason Ki ◽  
Paul DeGuzman ◽  
Paul Sajda ◽  
Lucas C. Parra

AbstractIn neuroscience, stimulus-response relationships have traditionally been analyzed using either encoding or decoding models. Here we combined both techniques by decomposing neural activity into multiple components, each representing a portion of the stimulus. We tested this hybrid approach on encephalographic responses to auditory and audiovisual narratives identically experienced across subjects, as well as uniquely experienced video game play. The highest stimulus-response correlations (SRC) were detected for dynamic visual features. During narratives both auditory and visual SRC were modulated by attention and tracked correlations between subjects. During video game play, SRC was modulated by task difficulty and attentional state. Importantly, the strongest component extracted for visual and auditory features had nearly identical spatial distributions, suggesting that the predominant encephalographic response to naturalistic stimuli is supramodal. The variety of novel findings demonstrates the utility of measuring multidimensional stimulus-response correlations.

Dreaming ◽  
2019 ◽  
Vol 29 (2) ◽  
pp. 127-143 ◽  
Author(s):  
Marc Sestir ◽  
Ming Tai ◽  
Jennifer Peszka

Author(s):  
William J. Shelstad ◽  
Ameer A. Hosein ◽  
Joseph R. Keebler ◽  
Barbara S. Chaparro

The current study investigated three user experience scales, the GUESS-24, the ENJOY, and the UEQ-S scale, as well as their relationship to gameplay continuance and purchasing intention for six popular online games. Results indicated that each of the three scales (GUESS-24, ENJOY, UEQ-S) could be used to predict continuance and purchase intention in the games of interest. The ENJOY and GUESS-24 performed better in predicting continuance intention than the UEQ-S. The GUESS-24 performed the best in terms of predicting purchase intention.


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