Trust in Human-AI Interaction: Review of Empirical Research on Trust in AI-Powered Smart Home Ecosystems

被引:0
|
作者
He, Tianzhi [1 ]
Jazizadeh, Farrokh [1 ]
机构
[1] Virginia Tech, Dept Civil & Environm Engn, Blacksburg, VA 24061 USA
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The growing socio-technical influence of artificial intelligence (AI) is increasing in various dimensions of our daily lives. The monitoring and decision-making role of smart home AI agents could go beyond simple operations, and a lack of users' trust could lead to the underuse or misuse of their capabilities. As such, lying at the intersection of trust in human-AI interactions and smart home ecosystems, this paper attempts to explore the driving factors of building trustworthy AI-powered smart home ecosystems. To this end, through a systematic literature review, we have identified the characteristics of human-AI trust in intelligent environments, factors that can influence users' trust in AI, features that can be implemented to improve users' trust, and challenges and opportunities that need to be considered. The findings can help develop a pathway for building long-term users' trust in AI-powered smart homes for integrated human-AI interactions.
引用
收藏
页码:530 / 538
页数:9
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