论文标题
Ganslider：用户如何使用带有和不带有馈送信息的多个滑块控制图像的生成模型
GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information
论文作者
论文摘要
我们研究了有或没有进发料可视化的多个滑块如何影响用户对生成模型的控制。在一项在线研究（n = 138）中，我们收集了一个与图像重建任务中与生成对抗网络（stylegan2）互动的人的数据集。我们发现，更多的控制维度（滑块）显着增加了任务难度和用户操作。视觉前馈通过启用更多目标导向的相互作用来部分缓解这种情况。但是，我们没有发现更快或更准确的任务性能的证据。这表明馈送细节与隐含的认知成本（例如注意力）之间的权衡。此外，我们发现单独的可视化并不总是足以让用户了解个体控制维度。在这种情况下，我们的研究量化了基本的UI设计因素和产生的相互作用行为，从而揭示了为生成模型的交互式应用改进UI设计的机会。我们通过讨论设计方向和其他方面结束。
We investigate how multiple sliders with and without feedforward visualizations influence users' control of generative models. In an online study (N=138), we collected a dataset of people interacting with a generative adversarial network (StyleGAN2) in an image reconstruction task. We found that more control dimensions (sliders) significantly increase task difficulty and user actions. Visual feedforward partly mitigates this by enabling more goal-directed interaction. However, we found no evidence of faster or more accurate task performance. This indicates a tradeoff between feedforward detail and implied cognitive costs, such as attention. Moreover, we found that visualizations alone are not always sufficient for users to understand individual control dimensions. Our study quantifies fundamental UI design factors and resulting interaction behavior in this context, revealing opportunities for improvement in the UI design for interactive applications of generative models. We close by discussing design directions and further aspects.
