规则网络
背景(考古学)
透视图(图形)
构造(python库)
考试(生物学)
探索性研究
心理学
应用心理学
工程类
计算机科学
结构方程建模
社会学
生物
生态学
古生物学
机器学习
人工智能
人类学
程序设计语言
作者
Stefan Raff,Stefan Rose,Tin Huynh
标识
DOI:10.1016/j.ijinfomgt.2023.102720
摘要
Smart home assistants (SHAs) have gained a foothold in many households. Although SHAs have many beneficial capabilities, they also have characteristics that are colloquially described as creepy – a fact that may deter potential users from adopting and utilizing them. Previous research has examined SHAs neither from the perspective of resistance nor the perspective of creepiness. The present research addresses this gap and adopts a multi-method research design with four sequential studies. Study 1 serves as a pre-study and provides initial exploratory insights into the concept of creepiness in the context of SHAs. Study 2 focuses on developing a measurement instrument to assess perceived creepiness. Study 3 uses an online experiment to test the nomological validity of the construct of creepiness in a larger conceptual model. Study 4 further elucidates the underlying behavioral dynamics using focus group analysis. The findings contribute to the literature on the dark side of smart technology by analyzing the triggers and mechanisms underlying perceived creepiness as a novel inhibitor to SHAs. In addition, this study provides actionable design recommendations that allow practitioners to mitigate end users' potential perceptions of creepiness associated with SHAs and similar smart technologies.
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