Interacting with an embodied interface

IF 0.9 4区心理学 Q3 COMMUNICATION

Interaction Studies Pub Date : 2022-10-20 DOI:10.1075/is.20030.lee

Kwan Min Lee, Jae-gil Lee, Y. Sah

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引用次数: 0

Abstract

Despite their potential for facilitating interaction between a user and computer, an embodied agent and voice command have not been examined enough for their matching effects. The current study proposes that an embodied agent and voice command generate positive evaluative outcomes, particularly when they are accompanied by each other. To test this prediction, we conducted a 2 (visual output: embodied agent vs. geometric figure) × 2 (input modality: voice command vs. remote controller) between-subjects experiment (N = 52), and examined whether visual output and input modality jointly influence participants’ social attribution (i.e., anthropomorphism, animacy, likability, and perceived intelligence), social presence, and satisfaction. Results show that voice command does facilitate users’ social attribution and social presence, but only when an embodied agent was presented. Also, the effects of voice command on social presence and satisfaction were mediated by anthropomorphism and perceived intelligence respectively, but only when the interface displayed an embodied agent. The present study evidences the holistic nature of human-computer interaction, revealing the importance of matches in the input and output interface.

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与具体化的接口交互

尽管嵌入式代理和语音命令有助于用户和计算机之间的交互，但它们的匹配效果还没有得到足够的研究。目前的研究表明，具体代理和语音命令会产生积极的评价结果，尤其是当它们相互伴随时。为了检验这一预测，我们在受试者之间进行了一个2（视觉输出：具体代理与几何图形）×2（输入模态：语音命令与遥控器）的实验（N = 52），并研究了视觉输出和输入模态是否共同影响参与者的社会归因（即拟人化、动物性、可爱性和感知智力）、社会存在和满意度。结果表明，语音命令确实有助于用户的社交归因和社交存在，但只有在呈现具体代理时。此外，语音命令对社交存在和满意度的影响分别由拟人化和感知智能介导，但仅当界面显示出具体代理时。本研究证明了人机交互的整体性，揭示了匹配在输入和输出界面中的重要性。

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

Interaction Studies Multiple-

CiteScore

3.30

自引率

6.70%

发文量

期刊介绍： This international peer-reviewed journal aims to advance knowledge in the growing and strongly interdisciplinary area of Interaction Studies in biological and artificial systems. Understanding social behaviour and communication in biological and artificial systems requires knowledge of evolutionary, developmental and neurobiological aspects of social behaviour and communication; the embodied nature of interactions; origins and characteristics of social and narrative intelligence; perception, action and communication in the context of dynamic and social environments; social learning.