感知负荷对具有ADHD症状人群在IDE中编程表现的影响
The Effect of Perceptual Load on Performance within IDE in People with ADHD Symptoms
AI总结：
本研究通过实验发现感知负荷影响ADHD症状人群在IDE中的编程效率，且影响因症状和任务类型而异，支持基于行为评估提供个性化工作环境便利。
摘要：
在本文中，我们描述了关于感知负荷如何影响具有注意力缺陷/多动障碍（ADHD）症状人群的编程表现的研究。我们要求开发者完成巴克雷执行功能缺陷量表，该量表用于指示ADHD症状的存在及严重程度。之后，参与者在集成开发环境中，于高感知负荷模式（视觉嘈杂）和低感知负荷模式（视觉清晰）下，解决需要脑力活动的编程任务（编码）和单调任务（调试）。开发环境通过我们编写的插件进行了增强，以跟踪效率指标，即时间、速度和活动量。我们发现感知负荷确实影响程序员的效率。对于需要脑力活动的任务，在低感知负荷模式下，插入第一个字符的时间更短，整体速度更高。对于单调任务，低感知负荷模式下完成解决方案的总时间更少。此外，我们发现感知负荷对程序员效率的影响在有和没有ADHD症状的人群之间存在差异。这种影响具有特异性：根据效率指标和ADHD症状的不同，某种水平的感知负荷可能是有益的。我们的研究结果支持对用户进行行为评估的想法，以便为有特殊需求的劳动力提供适当的便利。
英文摘要：
In this paper, we describe the research on how perceptual load can affect programming performance in people with symptoms of Attention Deficit / Hyperactivity Disorder (ADHD). We asked developers to complete the Barkley Deficits in Executive Functioning Scale, which indicates the presence and severity levels of ADHD symptoms. After that, participants solved mentally active programming tasks (coding) and monotonous ones (debugging) in the integrated development environment in high perceptual load modes (visually noisy) and low perceptual load modes (visually clear). The development environment was augmented with the plugin we wrote to track efficiency metrics, i.e. time, speed, and activity. We found that the perceptual load does affect programmers' efficiency. For mentally active tasks, the time of inserting the first character was shorter and the overall speed was higher in the low perceptual load mode. For monotonous tasks, the total time for the solution was less for the low perceptual load mode. Also, we found that the effect of perceptual load on programmers' efficiency differs between those with and without ADHD symptoms. This effect has a specificity: depending on efficiency measures and ADHD symptoms, one or another level of perceptual load might be beneficial. Our findings support the idea of behavioral assessment of users for providing appropriate accommodation for the workforce with special needs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
