Deliberating Data-Driven Societies Through Live Action Role Play
Deliberating Data-Driven Societies Through Live Action Role Play
复制标题
通过真人角色扮演思考数据驱动的社会
DOI：
10.1145/3461778.3462028
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Pothong K
中科院分区：
文献类型：
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作者：
Pothong K
人们的数据实践及其支持的个人信息学充满了广泛的价值概念，这些概念是其数据库的核心。它们告诉人们如何采用特定的产品和服务。这种价值的难以捉摸给设计师带来了一个挑战，即如何衡量用户的价值偏好，这些偏好是个人的、上下文的和抽象的。我们建议审议作为一个过程来操作设计的启发，反思和价值的形成，使用现场角色扮演（LARP）。本文展示了我们的审议LARP沉淀否则空灵的数据值在社会环境中展开。我们认为，让人们反思和发挥自己的价值形成，为设计师提供了更强大的见解，以应对数据驱动社会的复杂挑战。我们报告我们的研究结果，机构和谈判能力是关键，超越政治的偏好，在数据的做法，从而提高可接受性。
People’s data practices and their supporting personal informatics are imbued with a wide range of concepts of value that are central to their data imaginaries. They inform how individuals adopt particular products and services. This elusiveness of value creates a challenge for designers to gauge users’ value preferences, which are personal, contextual and abstract. We propose deliberation as a process to operationalise design for elicitation, reflection and value formation, using Live Action Role Play (LARP). The paper demonstrates how our deliberative LARP precipitates the otherwise ethereal data values to unfold in a social setting. We argue that engaging people in reflecting on and playing out their own value formation offers designers more powerful insights to address complex challenges of data-driven societies. We report on our findings that agency and negotiability are key to transcend the politics of preferences in data practices and thus enhance acceptability.