论文标题
浏览事物：探索启用数据启用数据的对象的设计空间
Seeing through Things: Exploring the Design Space of Privacy-Aware Data-Enabled Objects
论文作者
论文摘要
在设计研究中使用了越来越多的传感器研究对象。我们称这些对象为启用数据的对象，可以将其集成到日常活动中，以捕获有关人们详细的下落，行为和例程的数据。这些对象为上下文设计研究提供了有关日常生活的数据观点。但是，支持数据的对象仍然是具有有限的隐私意识和细微差异数据共享的计算设备。为了更好地设计支持数据的对象，我们通过邀请18个本科生设计学生团队重新设计相同类型的传感器家庭研究相机来探索隐私设计空间。我们开发了Connected Peekaboo工具包（CPT），以支持设计团队在真正的家庭研究中设计，构建和直接部署其原型。我们进行了主题分析以分析其结果，这使我们解释了隐私不仅是障碍，而且可以通过展开对启用数据的对象的设计空间进行探索来成为驱动程序。
Increasing amounts of sensor-augmented research objects have been used in design research. We call these objects Data-Enabled Objects, which can be integrated into daily activities capturing data about people's detailed whereabouts, behaviours and routines. These objects provide data perspectives on everyday life for contextual design research. However, data-enabled objects are still computational devices with limited privacy awareness and nuanced data sharing. To better design data-enabled objects, we explore privacy design spaces by inviting 18 teams of undergraduate design students to re-design the same type of sensor-enabled home research camera. We developed the Connected Peekaboo Toolkit (CPT) to support the design teams in designing, building, and directly deploying their prototypes in real home studies. We conducted Thematic Analysis to analyse their outcomes which led us to interpret that privacy is not just an obstacle but can be a driver by unfolding an exploration of possible design spaces for data-enabled objects.
