Pantzar Mika, Ruckenstein Minna
Consumer Society Research Centre, University of Helsinki, Finland.
Digit Health. 2017 Jun 8;3:2055207617712590. doi: 10.1177/2055207617712590. eCollection 2017 Jan-Dec.
This paper evaluates self-tracking practices in connection with ideas of objectivity via exploration of confrontations with personal data, particularly with reference to physiological stress and recovery measurements. The discussion departs from the notion of 'mechanical objectivity', seeking to obtain evidence that is 'uncontaminated by interpretation'. The framework of mechanical objectivity tends, however, to fall short when people translate physiological measurements to fit their expectations and everyday experiences. We develop the concept of 'situated objectivity' with the goal of highlighting the everyday as a domain of interpretation, reflection and ambiguity, proposing that the concept offers an analytical entry point to a more profound understanding of how people engage with their personal data. Everyday data encounters are not methodical and systematic, but combine knowledge in an eclectic manner. Framed in this way, self-tracking practices are less occupied with 'facts of life' than translating and transforming life based on earlier experiences, cultural understandings and shared expectations. Paradoxically, new measurement devices and software, which are supposed to be based on sound, universal and generalisable principles, hard facts and accurate descriptions, become raw material for daily decisions, as people seek bespoke answers and craft personalised theories of health and life. From this perspective, self-tracking measurements can be used to experiment and learn, gaining value in relation to the communicative processes that they promote and contributing to possibilities for rethinking health knowledge and health promotion.
本文通过探讨与个人数据的交锋,特别是关于生理压力和恢复测量方面,评估了与客观性概念相关的自我追踪实践。讨论从“机械客观性”的概念出发,试图获取“未受解释污染”的证据。然而,当人们对生理测量结果进行调整以符合自身期望和日常经验时,机械客观性的框架往往就显得不足。我们提出“情境客观性”的概念,目的是突出日常作为一个解释、反思和模糊性的领域,认为这一概念为更深入理解人们如何与个人数据互动提供了一个分析切入点。日常的数据接触并非有条不紊、系统规范,而是以一种兼收并蓄的方式融合知识。如此一来,自我追踪实践与其说是关注“生活事实”,不如说是基于早期经验、文化理解和共同期望来翻译和转变生活。矛盾的是,那些本应基于可靠、通用且可推广原则、确凿事实和准确描述的新型测量设备和软件,却成为了日常决策的素材,因为人们寻求定制化的答案并构建个性化的健康与生活理论。从这个角度来看,自我追踪测量可用于实验和学习,在它们所促进的交流过程中获得价值,并为重新思考健康知识和健康促进的可能性做出贡献。