Personality Shaping: A Prescriptive Approach Based on Virtual-Real Human Interaction

被引：1
作者：
Ye, Peijun [1 ]
Wang, Fei-Yue [2 ,3 ]
机构：
[1] Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China
[2] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
[3] Macau Univ Sci & Technol, Inst Engn, Macau, Peoples R China
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2024年 / 54卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Digital humans; Task analysis; Computational modeling; Psychology; Data preprocessing; Cognition; Data models; Digital human; human-machine cooperation; personality;
D O I：
10.1109/TSMC.2024.3431881
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The era has been witnessing our entering into a more professional and cooperative society and also a bloom of various digital humans that help us complete more challenging industrial work than ever. As a major human-machine communication channel, virtual-real interaction between digital and real humans is an efficient way to adjust the mismatch between specialized tasks and participants with unsuitable personalities, elevating the overall performance of such human participated systems. This article proposes a new paradigm for temporary personality shaping by prescriptively interacting the human operator/user with his "digital assistant" in cyber space. As a first proposed personality shaping with AI-aided approach, the new paradigm involves digital human modeling with uncertain personality, computational experiments on personality evolution, and prescriptive interaction with user counterpart. By iteratively and repeatedly executing the three steps, the personality of human participants is gradually tailored and prescribed so that he can well undertake specific tasks. Experiments based on online social media data and human-machine shared driving have indicated that our new personality shaping paradigm is feasible and effective in performing representative tasks.
引用
收藏
页码：7548 / 7557
页数：10
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