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Investigation on the neurophysiological correlates of similarity cognition of digital interface color and layout

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To investigate and compare the common features and differences of the cognitive processes, during which interfaces with diverse similarities are evaluated, this article chose the color code and layout forms… Click to show full abstract

To investigate and compare the common features and differences of the cognitive processes, during which interfaces with diverse similarities are evaluated, this article chose the color code and layout forms of digital interface to carry out further research. The study adopted the visual Oddball experimental paradigm that was based on the event-related potential technique and integrated the behavioral and event-related potential data to analyze the neural features of the cognitive process when two coding forms were individually processed. The result reveals that there were P300 components, elicited by the target stimuli, in both of the two experiment sessions. The average amplitude of P300 positively correlates the similarities between the target and standard stimuli, with its latency positively correlating the overall complexity of the stimuli. In the color experiment session, there was apparent visual mismatching negativity around 200 ms after the present of the target, which is related with the early attention. The empirical significance of conclusions drawn in this study is listed as follows: first, it can help to effectively evaluate the usability of guiding features in the digital interfaces through the investigation on visual mismatching negativity elicited in the early attention process; second, the amplitude and latency of the P300 component can be applied in the evaluation and filtering of design schemes, which is based on the similarities perceived in the iterative process and this would enhance efficiency of user interface designers.

Keywords: color; neurophysiological correlates; interface; digital interface; investigation neurophysiological

Journal Title: Advances in Mechanical Engineering
Year Published: 2018

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