Cognitive Divide:A Key Issue of Digital Inequality in the Era of Digital and Intelligent Media
This paper examines the impact of digital and intelligent media on human cognition,introducing the concept of the"cognitive divide"and underscoring its significance.It argues that human-machine collaboration is emerging as the dominant cognitive model in the digital and intelligent society,driven by a shift in the supply of cognitive resources from"limited access"to"available access"due to advancements in digital and intelligent media.Consequently,the interaction between humans and machines has become a key factor influencing the development of human cognitive abilities,potentially exacerbating disparities in cognitive skills and leading to the issue of a cognitive divide.The cognitive divide refers to the differentiation in cognitive abilities that arises as individuals engage with digital and intelligent media technologies.This paper defines the concept through two dimensions:cognitive orientation and cognitive performance.It suggests that cognitive diversity,complexity,autonomy,and flexibility,as exhibited by users across four cognitive orientations-information,self,media,and environment-can be measured via questionnaires to better illustrate the manifestations of the cognitive divide.Furthermore,the paper proposes that addressing the cognitive divide involves enhancing the adaptability of human-machine interactions.This entails fostering both the standardized and personalized development of cognitive resources by digital and intelligent media,while simultaneously guiding users to improve their psychological access skills and enhance their intelligent cognitive literacy,ultimately working to bridge the cognitive divide.
Digital and Intelligent MediaCognitive DivideDigital InequalityCognitive DifferentiationHuman-Machine CollaborationDigital Literacy
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