超越量化自我:幸福感数据

Jochen Meyer, S. Simske, K. Siek, C. Gurrin, H. Hermens
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引用次数: 49

摘要

维持我们的健康和福祉需要终生努力预防和健康生活。不断地观察自己是我们应该采取的基本措施之一。虽然许多设备支持监控和量化我们的健康行为和健康状态,但它们都面临着同样的权衡:数据质量越高,数据采集的努力就越高。然而,对于终身使用来说,尽量减少用户的工作量是至关重要的。如今,很少有设备能在成本和价值之间找到很好的平衡。在这个跨学科的研讨会上,我们讨论了如何通过解决三个主题来实现这种权衡:理解用户的信息需求,探索数据获取的选择,以及讨论终身使用的潜在设计。
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Beyond quantified self: data for wellbeing
Sustaining our health and wellbeing requires lifelong efforts for prevention and healthy living. Continuously observing ourselves is one of the fundamental measures to be taken. While many devices support monitoring and quantifying our health behavior and health state, they all are facing the same trade-off: the higher the data quality is the higher are the efforts of data acquisition. However, for lifelong use, minimizing efforts for the user is crucial. Nowadays, few devices find a good balance between cost and value. In this interdisciplinary workshop we discuss how this trade-off can be approached by addressing three topics: understanding the user's information needs, exploring options for data acquisition, and discussing potential designs for life-long use.
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