A Study on the Expression of “A sense of being alive”

IF 0.4 Q4 ENGINEERING, INDUSTRIAL
Ongon Witthayathada, K. Nishio
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引用次数: 1

Abstract

: This current research presents the elements of expressing a sense of being alive of the artifacts based on the results of three experiments. In recent years, robots and AI have become necessary products in the world, and there are the considerations of designing artifacts to express a sense of being alive by making them similar to humans. However, the received data about making the artifacts have sense of being alive are only related to the abstract concepts, which are difficult to apply. Therefore, this study aims to determine the factors of the expression of a sense of being alive of the artifacts by performing comparisons between the expressing of a sense of being alive and the mechanical expression of the artifacts. Then, three experiment phases were conducted, which were a study on artificial expression via flashing lights, sounds, and changing forms. A set of questionnaires were distributed to the participants. The participants’ points of view were examined by employing multivariate analysis methods. The transition of the artificial expression in this research was turned into the figure of waveforms. Finally, four factors were selected as having the highest effect with expressing a sense of being alive from the human judgments, which were 1) the waveform with some fluctuations, 2) smooth waveforms, 3) an unexpected waveform, and 4) the waveform with unstable periods. This study’s results may further be applied to new products to allow them to express a sense of being alive.
“活着的感觉”的表达研究
:本研究基于三个实验的结果,提出了表达人工制品存在感的要素。近年来,机器人和人工智能已经成为世界上必不可少的产品,并且有设计人工制品的考虑,通过使其与人类相似来表达一种活着的感觉。然而,所接收到的关于使工件具有生命感的数据仅与抽象概念相关,难以应用。因此,本研究旨在通过对存在感的表达与人工制品的机械表达进行比较,确定人工制品存在感表达的因素。然后进行了三个阶段的实验,分别是通过闪烁的灯光、声音和变化的形式来研究人工表情。一套问卷被分发给参与者。采用多元分析方法对参与者的观点进行检验。在本研究中,人工表达的过渡变成了波形图形。最后,从人的判断中选出对表达生命感影响最大的四个因素,分别是:1)有波动的波形,2)平滑的波形,3)意外的波形,4)周期不稳定的波形。这项研究的结果可能会进一步应用于新产品,让它们表达一种活着的感觉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
33.30%
发文量
18
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