社会技术系统
计算机科学
过程(计算)
知识管理
背景(考古学)
维数(图论)
人机交互
隐性知识
心理表征
代表(政治)
心理模型
心理学
认知
认知科学
操作系统
纯数学
法学
神经科学
古生物学
政治
生物
数学
政治学
作者
Joseph Borders,Gary Klein,Ron Besuijen
标识
DOI:10.1177/15553434231226317
摘要
Mental models are characterized as a person’s mental representation of how something works, guiding how they process information, anticipate future events, and interact with devices and tools in complex sociotechnical systems. This paper introduces the Mental Model Matrix (MMM), a novel framework for conceptualizing mental models in the context of human-system interactions. The MMM framework partitions aspects of an individual’s knowledge about a target system into two primary dimensions (system and user), each containing beliefs regarding capabilities and limitations. The system-based dimension includes knowledge for the system’s parts, connections, and causal relationships (capabilities), as well as knowledge for how the system can fail (limitations). The user-based dimension incorporates tacit knowledge for working with the system (capabilities) along with an appreciation for one’s own confusions and misunderstandings (limitations). The MMM provides a conceptual framework and guidance for end-users, trainers, and system designers seeking to elicit and codify different dimensions of an individual’s mental model of the systems they work with. The MMM can be used to reveal knowledge gaps and misalignments between different stakeholders in an organization, which can facilitate the development of human-centered technologies and systems, and the creation of effective training programs.
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