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"Imagine this smart speaker to have a body": An analysis of the external appearances and the characteristics that people associate with voice assistants
[journal article]
Abstract Introduction: Modern digital devices, such as conversational agents, simulate human-human interactions to an increasing extent. However, their outward appearance remains distinctly technological. While research revealed that mental representations of technology shape users' expectations and experien... view more
Introduction: Modern digital devices, such as conversational agents, simulate human-human interactions to an increasing extent. However, their outward appearance remains distinctly technological. While research revealed that mental representations of technology shape users' expectations and experiences, research on technology sending ambiguous cues is rare. Methods: To bridge this gap, this study analyzes drawings of the outward appearance participants associate with voice assistants (Amazon Echo or Google Home). Results: Human beings and (humanoid) robots were the most frequent associations, which were rated to be rather trustworthy, conscientious, agreeable, and intelligent. Drawings of the Amazon Echos and Google Homes differed marginally, but "human," "robotic," and "other" associations differed with respect to the ascribed humanness, consciousness, intellect, affinity to technology, and innovation ability. Discussion: This study aims to further elaborate on the rather unconscious cognitive and emotional processes elicited by technology and discusses the implications of this perspective for developers, users, and researchers.... view less
Keywords
engineering; new technology; artificial intelligence; innovation; confidence; cognition; user; perception; robot
Classification
Sociology of Science, Sociology of Technology, Research on Science and Technology
Free Keywords
media equation; conversational agents; smart speakers; visualization of technology; embodiment; Interpersonales Vertrauen (KUSIV3) (ZIS 37); Deutsche Version der Positive and Negative Affect Schedule PANAS (GESIS Panel) (ZIS 242)
Document language
English
Publication Year
2022
Page/Pages
p. 1-20
Journal
Frontiers in Computer Science, 4 (2022)
DOI
https://doi.org/10.3389/fcomp.2022.981435
ISSN
2624-9898
Status
Published Version; peer reviewed