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Auteur principal: Wang, Yue
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2409.15293
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author Wang, Yue
author_facet Wang, Yue
contents This paper proposes a theoretical framework for understanding and leveraging the synergy between artificial intelligence (AI) and personality types as defined by the Myers-Briggs Type Indicator (MBTI) in organizational team settings. We argue that AI capabilities can complement and enhance different MBTI types, leading to improved team performance. The AI-MBTI Synergy Framework is introduced, focusing on the Intuition-Sensing and Thinking-Feeling dimensions. We present propositions about how AI can augment team dynamics across four team types: Visionary, Strategic, Supportive, and Operational. A novel implementation is proposed to create an intelligent team optimization algorithm. Implications for theory and practice are discussed, along with directions for future research.
format Preprint
id arxiv_https___arxiv_org_abs_2409_15293
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle AI and MBTI: A Synergistic Framework for Enhanced Team Dynamics
Wang, Yue
Human-Computer Interaction
This paper proposes a theoretical framework for understanding and leveraging the synergy between artificial intelligence (AI) and personality types as defined by the Myers-Briggs Type Indicator (MBTI) in organizational team settings. We argue that AI capabilities can complement and enhance different MBTI types, leading to improved team performance. The AI-MBTI Synergy Framework is introduced, focusing on the Intuition-Sensing and Thinking-Feeling dimensions. We present propositions about how AI can augment team dynamics across four team types: Visionary, Strategic, Supportive, and Operational. A novel implementation is proposed to create an intelligent team optimization algorithm. Implications for theory and practice are discussed, along with directions for future research.
title AI and MBTI: A Synergistic Framework for Enhanced Team Dynamics
topic Human-Computer Interaction
url https://arxiv.org/abs/2409.15293