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The science of interaction

机译：互动科学

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摘要

There is a growing recognition within the visual analytics community that interaction and inquiry are inextricable. It is through the interactive manipulation of a visual interface - the analytic discourse - that knowledge is constructed, tested, refined and shared. This article reflects on the interaction challenges raised in the visual analytics research and development agenda and further explores the relationship between interaction and cognition. It identifies recent exemplars of visual analytics research that have made substantive progress toward the goals of a true science of interaction, which must include theories and testable premises about the most appropriate mechanisms for human-information interaction. Seven areas for further work are highlighted as those among the highest priorities for the next 5 years of visual analytics research: ubiquitous, embodied interaction; capturing user intentionality; knowledge-based interfaces; collaboration; principles of design and perception; interoperability; and interaction evaluation. Ultimately, the goal of a science of interaction is to support the visual analytics and human-computer interaction communities through the recognition and implementation of best practices in the representation and manipulation of visual displays.
机译：在视觉分析社区中，人们越来越认识到交互和查询是密不可分的。通过对可视界面（分析性话语）的交互式操纵，知识得以构建，测试，完善和共享。本文回顾了视觉分析研究与开发议程中提出的交互挑战，并进一步探讨了交互与认知之间的关系。它确定了视觉分析研究的最新范例，这些范例已在实现真正的交互科学的目标方面取得了实质性进展，其中必须包括有关人与信息交互的最合适机制的理论和可验证的前提。重点介绍了七个领域，这些领域是未来五年视觉分析研究的最高优先领域：无处不在的，具体的交互；捕捉用户的意图；基于知识的界面；合作;设计和感知原理；互操作性；和互动评估。最终，交互科学的目标是通过识别和实施视觉表示和操纵中的最佳实践来支持视觉分析和人机交互社区。

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