Toward the Inclusion of Human Factors in Intelligence Augmentation: Perspectives From a Bibliometric Analysis

Abstract

In a society where generative AI is prevalent, theoretical advancements in Intelligence Augmentation (IA), particularly regarding human factors, are essential. Therefore, we review research trends in the IA literature to discuss the future of human intelligence interacting with machines. We analyzed previous IA literature using bibliometric and text mining approaches. This analysis resulted in the finding that IA research argues that not only complements human cognitive capabilities but also enhances the inherent cognitive capabilities of humans. Two large IA areas were also identified during the analysis: areas related to technology and medicine. IA was found to work as an umbrella concept bridging technology-related and medical fields. Finally, we highlight the importance of focusing on human intellect and wisdom to enhance human capabilities and research to theorize this.

Keywords: Intelligence Augmentation, Bibliometric Analysis, Text mining Analysis, Human Wisdom, Cognitive Capabilities, Service-dominant logic (SDL)

DOI: 10.54941/ahfe1006408