人机系统
维数(图论)
计算机科学
任务(项目管理)
透视图(图形)
动作(物理)
代理(哲学)
人机交互
代表(政治)
桥(图论)
人工智能
代理意识
多元统计
机器学习
知识管理
心理学
工程类
社会心理学
系统工程
认识论
数学
哲学
医学
量子力学
政治
物理
政治学
法学
纯数学
内科学
作者
Jairo Inga,Miriam Rueß,Jan Heinrich Robens,Thomas Nelius,Sean Kille,Philipp Dahlinger,Roland Thomaschke,Gerhard Neumann,Sven Matthiesen,Sören Hohmann,Andrea Kiesel
标识
DOI:10.48550/arxiv.2111.14681
摘要
The notion of symbiosis has been increasingly mentioned in research on physically coupled human-machine systems. Yet, a uniform specification on which aspects constitute human-machine symbiosis is missing. By combining the expertise of different disciplines, we elaborate on a multivariate perspective of symbiosis as the highest form of physically coupled human-machine systems. Four dimensions are considered: Task, interaction, performance, and experience. First, human and machine work together to accomplish a common task conceptualized on both a decision and an action level (task dimension). Second, each partner possesses an internal representation of own as well as the other partner's intentions and influence on the environment. This alignment, which is the core of the interaction, constitutes the symbiotic understanding between both partners, being the basis of a joint, highly coordinated and effective action (interaction dimension). Third, the symbiotic interaction leads to synergetic effects regarding the intention recognition and complementary strengths of the partners, resulting in a higher overall performance (performance dimension). Fourth, symbiotic systems specifically change the user's experiences, like flow, acceptance, sense of agency, and embodiment (experience dimension). This multivariate perspective is flexible and generic and is also applicable in diverse human-machine scenarios, helping to bridge barriers between different disciplines.
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