Mitigating the intrusive effects of smart home assistants by using anthropomorphic design features: A multimethod investigation

感觉 人际交往 数字化 心理学 互联网隐私 领域(数学) 人际关系 社会心理学 应用心理学 计算机科学 电信 数学 纯数学
作者
Alexander Benlian,Johannes Klumpe,Oliver Hinz
出处
期刊:Information Systems Journal [Wiley]
卷期号:30 (6): 1010-1042 被引量:134
标识
DOI:10.1111/isj.12243
摘要

Abstract With the growing proliferation of smart home assistants (SHAs), digital services are increasingly pervading people's private households. Through their intrusive features, SHAs threaten to not only increase individual users' strain but also impair social relationships at home. However, while previous research has predominantly focused on technology features' detrimental effects on employee strain at work, there is still a lack of understanding of the adverse effects of digital devices on individuals and their social relations at home. In addition, we know little about how these deleterious effects can be mitigated by using information technology (IT) artefact‐based design features. Drawing on the person‐technology fit model, self‐regulation theory, and the literature on anthropomorphism, we used the synergistic properties of an online experiment (N = 136) and a follow‐up field survey with a representative sample of SHA users (N = 214) to show how and why SHAs' intrusive technology features cause strain and interpersonal conflicts at home. Moreover, we demonstrate how SHAs' anthropomorphic design features can attenuate the harmful effects of intrusive technology features on strain by shaping users' feelings of privacy invasion. More broadly, our study sheds light on the largely underinvestigated psychological and social consequences of the digitization of the individual at home.
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