What is taxonomy in HMI?
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Taxonomy in Human-Machine Interaction (HMI) refers to the systematic classification of elements related to the interaction between humans and machines. It involves organizing and categorizing various aspects such as human characteristics, machine capabilities, interaction scenarios, and interface design principles to facilitate a structured approach for analyzing and comparing different HMI scenarios. By developing taxonomies specific to HMI, researchers aim to enhance the understanding of agent capabilities, affordances, and constraints within interface contexts, ultimately improving autonomous systems that support human-autonomy coordination. Taxonomies in HMI serve as a common language for dialogue between developers, aiding in the design of effective interfaces that align with the capabilities and constraints of both humans and machines.
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26 Citations | Taxonomy in HMI refers to a proposed classification system for user interface terminology, aiming to establish a foundational structure for the development of human-computer interaction as a science. |
| Taxonomy in HRI is a structured classification system encompassing human, robot, interaction, and context, aiding in comparing and analyzing various human-robot interaction scenarios efficiently. | |
| Taxonomy in HMI refers to categorizing innovation management tools based on company size, sector, and other variables to enhance efficiency in the innovation process and outcomes. | |
Open access•Proceedings Article 01 Jan 2015 3 Citations | Taxonomy in HMI refers to a classification system aiding dialog between autonomous agent developers and interface designers, clarifying agent capabilities for improved human-autonomy coordination in interface design. |
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