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
  • [41] Human-AI communication in initial encounters: How AI agency affects trust, liking, and chat quality evaluation
    Pan, Wenjing
    Liu, Diyi
    Meng, Jingbo
    Liu, Hailong
    NEW MEDIA & SOCIETY, 2024,
  • [42] Measures for explainable AI: Explanation goodness, user satisfaction, mental models, curiosity, trust, and human-AI performance
    Hoffman, Robert R.
    Mueller, Shane T.
    Klein, Gary
    Litman, Jordan
    FRONTIERS IN COMPUTER SCIENCE, 2023, 5
  • [43] From explainable to interactive AI: A literature review on current trends in human-AI interaction
    Raees, Muhammad
    Meijerink, Inge
    Lykourentzou, Ioanna
    Khan, Vassilis-Javed
    Papangelis, Konstantinos
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2024, 189
  • [44] Customer Service with AI-Powered Human-Robot Collaboration (HRC): A Literature Review Customer Service with AI-Powered Human-Robot Collaboration (HRC): A Literature Review
    Leocadio, Diogo
    Guedes, Leonel
    Oliveira, Jose
    Reis, Joao
    Melao, Nuno
    5TH INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING, ISM 2023, 2024, 232 : 1222 - 1232
  • [45] Towards Sustainable Interaction in the Home Appliance Industry: An AI-Powered Dialogue System Approach
    Liu, Xing
    Jiang, Yi
    Huang, Yikai
    Zhang, Hua
    Tu, Zhiying
    2023 11TH INTERNATIONAL SYMPOSIUM OF CHINESE CHI, CHINESE CHI2023, 2023, : 556 - 561
  • [46] MULTITTRUST: 2nd Workshop on Multidisciplinary Perspectives on Human-AI Team Trust
    Brandizzi, Nicolo'
    Jorge, Carolina Centeio
    Cipollone, Roberto
    Frattolillo, Francesco
    Iocchi, Luca
    Ulfert-Blank, Anna-Sophie
    PROCEEDINGS OF THE 11TH CONFERENCE ON HUMAN-AGENT INTERACTION, HAI 2023, 2023, : 496 - 497
  • [47] UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital Library
    Zheng, Qingxiao
    Tang, Yiliu
    Liu, Yiren
    Liu, Weizi
    Huang, Yun
    PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22), 2022,
  • [48] Ethical management of human-AI interaction: Theory development review
    Heyder, Teresa
    Passlack, Nina
    Posegga, Oliver
    JOURNAL OF STRATEGIC INFORMATION SYSTEMS, 2023, 32 (03):
  • [49] A systematic review of human-AI interaction in autonomous ship system
    Veitch, Erik
    Alsos, Ole Andreas
    SAFETY SCIENCE, 2022, 152
  • [50] Acceptance of AI-powered facial recognition technology in surveillance scenarios: Role of trust, security, and privacy perceptions
    Choung, Hyesun
    David, Prabu
    Ling, Tsai-Wei
    TECHNOLOGY IN SOCIETY, 2024, 79