数据实验室中的用户体验方法:论证有效性

Proceedings of the 37th ACM International Conference on the Design of Communication Pub Date : 2019-10-04 DOI:10.1145/3328020.3353954

Trinity C. Overmyer

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引用次数: 5

摘要

基于一个国家科学实验室的案例研究，本文概述了在与数据和领域科学的主题专家合作时展示技术交流研究价值的策略。本文认为，技术传播者可以使用用户体验方法作为识别媒介，与高技术领域的专家找到共同的目标，特别是在科学计算领域。本文概述了为实验室数据科学家创建的定性可用性方法，以验证高度专业化的科学可视化应用程序。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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UX methods in the data lab: arguing for validity

Based on a case study at a national science lab, this paper outlines strategies for demonstrating the value of technical communication research when working with subject matter experts in both data and domain sciences. This paper argues that technical communicators can find common goals with experts in highly technical fields using UX methods as the medium of identification, particularly in the realm of scientific computing. This paper outlines a qualitative usability method created for data scientists at the lab to validate highly specialized scientific visualization applications.

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Proceedings of the 37th ACM International Conference on the Design of Communication

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