Toward a Design Space for Mitigating Cognitive Bias in Vis
Toward a Design Space for Mitigating Cognitive Bias in Vis
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DOI：
10.1109/visual.2019.8933611
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发表时间：
2019-10
期刊：
影响因子：
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通讯作者：
Emily Wall;J. Stasko;A. Endert
中科院分区：
文献类型：
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作者：
Emily Wall;J. Stasko;A. Endert
认知启发法的使用通常会导致快速有效的决策。然而，它们也可能系统地、可预测地导致被称为认知偏见的错误。然而，尽量减少或减轻这些偏见的策略仍然主要是非技术性的（例如，培训课程）。越来越多地使用可视化分析（VA）工具进行分析和决策，使一类新的偏见缓解策略成为可能。在这项工作中，我们探索了可视化设计（vis）可以用来减轻认知偏见的方法。我们推导了一个由8个维度组成的设计空间，这些维度可以通过操纵来影响用户的认知和分析过程，并通过一个示例招聘场景来描述它们。这个设计空间可以用来指导和告知未来的视觉系统，这些系统可能会更紧密地整合认知过程。
The use of cognitive heuristics often leads to fast and effective decisions. However, they can also systematically and predictably lead to errors known as cognitive biases. Strategies for minimizing or mitigating these biases, however, remain largely non-technological (e.g., training courses). The growing use of visual analytic (VA) tools for analysis and decision making enables a new class of bias mitigation strategies. In this work, we explore the ways in which the design of visualizations (vis) may be used to mitigate cognitive biases. We derive a design space comprised of 8 dimensions that can be manipulated to impact a user’s cognitive and analytic processes and describe them through an example hiring scenario. This design space can be used to guide and inform future vis systems that may integrate cognitive processes more closely.