Understanding human–technology interaction: evolving boundaries
Pierpaolo Magliocca,
Rossella Canestrino,
Elias G. Carayannis and
Anna Roberta Gagliardi
European Journal of Innovation Management, 2024, vol. 28, issue 5, 2006-2028
Abstract:
PurposeThis paper explores the intricate evolution of human–machine interaction within the framework of Society 5.0, highlighting how technological advancements influence human behavior and societal progress.Design/methodology/approachA multidimensional framework is developed through a qualitative approach to analyze the evolution of human–technology interaction. This innovative conceptual model provides a comprehensive understanding of these dynamics.FindingsThe proposed model unveils a significant shift from perceiving technology as a mere tool to acknowledging its profound influence on daily routines and potential enhancements. This revelation underscores the critical role of human-centric strategies, enlightening us about the evolving nature of technology.Research limitations/implicationsThe study synthesizes existing research to present a comprehensive framework for understanding human–machine interaction, providing insights that can inform future research and theory development.Practical implicationsThis study equips policymakers, researchers and practitioners with actionable strategies to enhance technology use. By incorporating human-centric approaches, addressing issues such as technostress and promoting effective digital knowledge management, this research empowers the audience with practical solutions.Social implicationsThe paper underscores the broader impact of technology on societal progress. It emphasizes the importance of incorporating human-centric strategies in technology implementation to promote fairness, inclusivity and overall societal well-being.Originality/valueThis paper introduces an innovative conceptual model based on a multidimensional framework to analyze the complex evolution of human–technology interaction. It enriches the ongoing debate by highlighting the nuanced relationship between humans and technology, addressing significant gaps in existing literature and offering an original interpretative perspective.
Keywords: Society 5.0; Human–machine interaction; Human–technology evolution; Information asymmetry; Cognitive distance; Conceptual model (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ejimpp:ejim-04-2024-0341
DOI: 10.1108/EJIM-04-2024-0341
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