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Wearable cognitive assistants in a factory setting: a critical review of a promising way of enhancing cognitive performance and well-being
Rapid technological innovations are constantly influencing the complexification and automatization of the work lines pushing human operators to use diverse cognitive processes for supervising complex industrial machines. This urges factories to offer wearable cognitive assistants to human operators to analyze, integrate and maintain a considerable amount of information. The aim of this review is twofold. First, we borrow theoretical elements from the working memory literature to question the way these wearable cognitive assistants could optimize human operators’ cognitive load. Second, we argue that Technology Acceptance Model (TAM) and Job Characteristics Model (JCM) may theoretically predict the effectiveness of cognitive wearable assistants in enhancing the person–job fit, namely their cognitive performance and well-being.