Inbodied Interaction 102: Exploring Neuro-Physio Pathways for Self-Tuning

Inbodied Interaction 102: Exploring Neuro-Physio Pathways for Self-Tuning
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身体互动 102:探索自我调节的神经生理途径

DOI:
10.1145/3411763.3445010
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发表时间:
2021
期刊:
--
影响因子:
--
通讯作者:
Schraefel M
Schraefel M
中科院分区:
--
文献类型:
--
作者:
Schraefel M

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在《身体互动101》中,我们通过三种反映身体状态的相关互动来考虑身体的生理学和解剖学:1。响应于in 5和C4随时间和上下文的变化,以保持2.体内平衡通过3.新陈代谢.我们把这种适应过程称为“调谐”。在102中,我们在此基础上考虑生理调谐。特别是,我们将研究一系列内在的相互作用:神经内分泌系统与器官系统的相互作用,从遗传信号到脂肪代谢提示适应性反应;自主神经系统和边缘系统的相互作用,影响意志/非意志的相互作用。我们将介绍脑干,基底核和小脑的组成部分,支持自我调节的内感受。在此框架内,我们将研究这些过程的非侵入性测量(例如,HRV,EEG,血氧饱和度,定性反应)的优势和局限性。成果将熟悉我们如何作为内在复杂系统发挥作用,并提供如何将调节生理学转化为交互式设计的工作示例,以新的方式支持健康,福祉和性能。
In Inbodied Interaction 101, we considered the Physiology and Anatomy of the body via three associated interactions that reflect an inbodied state: 1. inbodied adaptation in response to the in5 and C4 over Time and Context in order to maintain 2. homeostasis via 3. metabolism. We called this adaptation process “tuning.” In 102 we build on this foundation to consider the physiology tuning. In particular we will look at a series of inbodied interactions: the neuro-endocrine system interaction with the organ systems that cue adaptive responses from genetic signals to fat metabolism; the autonomic nervous system and the limbic system's interactions that affect volitional/non-volitional interaction. We will introduce the components of the brainstem, basal nuclei and cerebellum that support interoception around self-Tuning. Within this framing, we will look at the strengths and limits of non-invasive measures of these processes (eg, HRV, EEG, blood oxygen saturation, qualitative responses). Outcomes will familiarity with how we function as inbodied complex systems, with worked examples of how the physiology of tuning can be translated into interactive designs to support health, wellbeing, performance in new ways.
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发表时间: 2020-04
期刊: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
影响因子: --
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发表时间: 2019
期刊: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
影响因子: --
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DOI: --
发表时间: 2020
期刊: Interactions
影响因子: --
作者:
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