在可视化与人机交互（HCI）研究中考虑贡献声明
Considering Contribution Statements in Visualization and HCI Research
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中文总结 AI 辅助
本文针对可视化与HCI研究中贡献声明不常见的问题，通过21名研究者的在线研究分析相关矛盾，向作者和机构提出适度建议，旨在推动更公平透明的署名实践。
中文摘要 AI 辅助
贡献声明是一种日益常见的方式，用于使研究劳动可见、减少学术不端并提供更广泛的透明度。尽管具有这种潜在价值，它们在可视化和人机交互（HCI）领域仍不常见。为探究这一差距，我们开展了一项在线研究，对象为21名可视化与HCI研究者。我们发现，人们对贡献声明的效用存在一系列不同看法，这些看法与多种紧张关系并存：相关贡献框架无法充分适配HCI、尤其是可视化领域的贡献类型，作者间存在权力动态，作者身份感知存在偏差，以及提供此类额外文档的繁琐性。基于这些因素，我们向作者提出一项适度建议：考虑使用贡献声明。在某些情境下，它们可有用地阐明研究工作；而在另一些情境下，可能引发作者团队冲突或成为繁重的琐事。无论读者是否使用贡献声明，我们认为，用于反思贡献角色的支撑机制对公共问责和内部协调均有价值。针对机构，我们建议贡献声明不受页数或字数限制，为作者提供灵活的模板和示例，但仍不强制要求使用。通过揭示这些观点，我们旨在开启一场对话，探讨什么构成作者身份、本领域如何迈向更公平透明的署名实践，以及可视化与HCI社区在其中可发挥的独特作用。
英文摘要
Contribution statements are an increasingly common way to make research labor visible, reduce academic malfeasance, and provide broader transparency. Despite this potential value, they remain uncommon in visualization and HCI. To explore this gap, we conducted an online study with (N=21) visualization and HCI researchers. We find a range of differing opinions about the utility of contribution statements, which are set against a background of tensions relating to contribution frameworks that inadequately fit contribution types in HCI and especially visualization, power dynamics between authors, bias in authorship perceptions, and the tedium of providing yet another form of documentation. From these factors, we offer a modest recommendation to authors: consider contribution statements. There are contexts when they may usefully explicate work, and others where they can cause author-team conflict or become a burdensome chore. Regardless of whether they are used by readers or not, we suggest that scaffolded mechanisms for reflecting on contribution roles are valuable both for public accountability and internal alignment. To institutions, we recommend that contribution statements be exempt from page or word limits, and that flexible templates and examples be provided to authors, but that they continue to not be required. By surfacing these perspectives, we seek to open a dialogue about what constitutes authorship, how our community might move toward more equitable and transparent attribution practices, and where the visualization and HCI communities might be uniquely equipped to help.
