The Development of a Scale for Recognizing the Human-Machine Subject-Object Relationship in the Philosophical Perspective of Human-Machine Collaboration

Guiqing Li (), Yanni Lai () and Jiahao Zhu ()
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Guiqing Li: Chengdu University of Information Technology, School of Management
Yanni Lai: Chengdu University of Information Technology, School of Management
Jiahao Zhu: Chengdu University of Information Technology, School of Management

A chapter in Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024), 2025, pp 187-198 from Springer

Abstract: Abstract Based on literature research, this paper develops the scale of human-machine subject-object relationship cognition from the perspective of human-machine cooperation philosophy through focus group interview, expert interview, and questionnaire survey. After exploratory factor analysis and confirmatory factor analysis, it is found that the human-machine subject-object relationship cognition includes three dimensions: deep human-machine cooperation, human-machine superiority complementarity and human intelligence dominance, which has good reliability and validity. It is of great significance to understand the essential attribute, utility goal and ethical value of human-machine relationship after entering the 21st century, and has strong practical reference value.

Keywords: human-machine cooperation; subject-object relationship; deep human-machine cooperation; human-machine superiority complementarity; human intelligence dominance (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-676-5_20

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DOI: 10.2991/978-94-6463-676-5_20

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