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A Semiotics-oriented Approach to Aid the Design of Ubiquitously Monitored Healthcare Systems

机译:以符号学为导向的方法,以帮助设计普遍存在监测的医疗保健系统

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Ubiquitous computing technology, sensor networks, and ambient intelligence have initiated the birth of pervasive health. While successful in many environments, in healthcare, monitoring technologies have been known to cause undesirable effects, such as increases in stress in patients being observed. To date, the use of this monitoring technology and its effect on human behaviour have not been thoroughly investigated, meaning future system designs may result in (preventable) undesirable effects. Pervasive healthcare's envisioned deep intertwining with the patient's day-to-day care, makes patient's socio-cultural values a fundamental consideration. In this paper, we present a semiotics-oriented approach for analysing factors, identified in the literature and believed to influence patient's behaviour, from both physical and social perspectives to aid the design of socially aware and patient-centric ubiquitous monitoring environments that are successfully adopted and used whilst aiding the incorporation of social aspects of pervasive technologies in the design.
机译:无处不在的计算技术,传感器网络和环境智能已经开始普遍存在的健康诞生。虽然在许多环境中成功,但在医疗保健中,已知监测技术造成不良影响,例如被观察到患者的压力增加。迄今为止,使用这种监测技术及其对人类行为的影响尚未得到彻底调查,这意味着未来的系统设计可能导致(可预防)不良影响。普遍的医疗保健的设想深入与患者的日常照料融合,使患者的社会文化价值成为基本的考虑因素。在本文中,我们提出了一种以文献中确定的因素分析因素的符号学为导向的方法,并据信以影响患者的行为,从身体和社会角度来看,帮助设计成功采用的社会意识和以患者为中心的无处不在的监控环境。并使用讨论设计中普及技术的社会方面的融合。

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