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
来源
COMPUTING IN CIVIL ENGINEERING 2023-DATA, SENSING, AND ANALYTICS | 2024年
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
相关论文
共 50 条
  • [31] Take It, Leave It, or Fix It: Measuring Productivity and Trust in Human-AI Collaboration
    Qian, Crystal
    Wexler, James
    PROCEEDINGS OF 2024 29TH ANNUAL CONFERENCE ON INTELLIGENT USER INTERFACES, IUI 2024, 2024, : 370 - 384
  • [32] A empirical research on AI-powered athletic posture detection in sports training
    Wang, Shunyong
    Zhang, Gaoyang
    REVISTA INTERNACIONAL DE METODOS NUMERICOS PARA CALCULO Y DISENO EN INGENIERIA, 2024, 40 (02):
  • [33] Assessing Trust in Construction AI-Powered Collaborative Robots Using Structural Equation Modeling
    Emaminejad, Newsha
    Kath, Lisa
    Akhavian, Reza
    JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2024, 38 (03)
  • [34] Language learning development in human-AI interaction: A thematic review of the research landscape☆
    Wang, Feifei
    Cheung, Alan C. K.
    Chai, Ching Sing
    SYSTEM, 2024, 125
  • [35] Shaping a multidisciplinary understanding of team trust in human-AI teams: a theoretical framework
    Ulfert, Anna-Sophie
    Georganta, Eleni
    Centeio Jorge, Carolina
    Mehrotra, Siddharth
    Tielman, Myrthe
    EUROPEAN JOURNAL OF WORK AND ORGANIZATIONAL PSYCHOLOGY, 2024, 33 (02) : 158 - 171
  • [36] Understanding the processes of trust and distrust contagion in Human-AI Teams: A qualitative approach
    Duan, Wen
    Zhou, Shiwen
    Scalia, Matthew J.
    Freeman, Guo
    Gorman, Jamie
    Tolston, Michael
    Mcneese, Nathan J.
    Funke, Gregory
    COMPUTERS IN HUMAN BEHAVIOR, 2025, 165
  • [37] Developing trustworthy artificial intelligence: insights from research on interpersonal, human-automation, and human-AI trust
    Li, Yugang
    Wu, Baizhou
    Huang, Yuqi
    Luan, Shenghua
    FRONTIERS IN PSYCHOLOGY, 2024, 15
  • [38] AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks
    Nawshin, Faria
    Unal, Devrim
    Hammoudeh, Mohammad
    Suganthan, Ponnuthurai N.
    AD HOC NETWORKS, 2024, 161
  • [39] AI-powered voice assistants: developing a framework for building consumer trust and fostering brand loyalty
    Rawool, Vai
    Foroudi, Pantea
    Palazzo, Maria
    ELECTRONIC COMMERCE RESEARCH, 2024,
  • [40] (E)-Trust and Its Function: Why We Shouldn't Apply Trust and Trustworthiness to Human-AI Relations
    Al, Pepijn
    JOURNAL OF APPLIED PHILOSOPHY, 2023, 40 (01) : 95 - 108