Decoding the Perceived Difficulty of Communicated Contents by Older People: Toward Conversational Robot-Assistive Elderly Care

Decoding the Perceived Difficulty of Communicated Contents by Older People: Toward Conversational Robot-Assistive Elderly Care
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解码老年人对交流内容的感知困难:走向对话式机器人辅助养老

DOI:
10.1109/lra.2019.2925732
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发表时间:
2019
影响因子:
5.2
通讯作者:
and Hiroshi Ishiguro
and Hiroshi Ishiguro
中科院分区:
计算机科学2区
文献类型:
--
作者:
Soheil Keshmiri;Hidenobu Sumioka;Ryuji Yamazaki;and Hiroshi Ishiguro

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在这项研究中,我们提出了一个半监督学习模型,用于解码老年人对交流内容的感知难度。我们的模型是基于映射的老年人的前额叶皮层(PFC)的活动在他们的言语交流到细粒度的工作记忆(WM)任务,诱导负荷人类的PFC通过调制其难度水平的集群空间。这允许差分量化的观察到的变化模式的PFC激活在言语交际过程中相对于WM任务的难度水平。我们发现,这样的量化建立了一个可靠的基础分类和随后学习的PFC反应更自然的内容,如故事的理解。我们的贡献是提出证据的有效性,我们的方法估计老年人的感知困难的沟通内容在网上讲故事的情况。
In this study, we propose a semi-supervised learning model for decoding of the perceived difficulty of communicated content by older people. Our model is based on mapping of the older people's prefrontal cortex (PFC) activity during their verbal communication onto fine-grained cluster spaces of a working memory (WM) task that induces loads on human's PFC through modulation of its difficulty level. This allows for differential quantification of the observed changes in pattern of PFC activation during verbal communication with respect to the difficulty level of the WM task. We show that such a quantification establishes a reliable basis for categorization and subsequently learning of the PFC responses to more naturalistic contents, such as story comprehension. Our contribution is to present evidence on effectiveness of our method for estimation of the older people's perceived difficulty of the communicated contents during an online storytelling scenario.
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