Can AI artifacts influence human cognition? The effects of artificial autonomy in intelligent personal assistants

被引:173
作者
Hu, Qian [1 ]
Lu, Yaobin [1 ]
Pan, Zhao [1 ]
Gong, Yeming [2 ]
Yang, Zhiling [3 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Management, Wuhan, Peoples R China
[2] EMLYON Business Sch, F-69134 Ecully, France
[3] City Univ Hong Kong, Sch Management, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Internet of Things (IoT); Artificial intelligence; Intelligent personal assistant; Artificial autonomy; Mind perception; UNIVERSAL DIMENSIONS; STEREOTYPE CONTENT; SOCIAL COGNITION; DECISION-MAKING; SERVICE; ADOPTION; COMPETENCE; WARMTH; MODEL; ACCEPTANCE;
D O I
10.1016/j.ijinfomgt.2020.102250
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
In the era of the Internet of Things (IoT), emerging artificial intelligence (AI) technologies provide various artificial autonomy features that allow intelligent personal assistants (IPAs) to assist users in managing the dynamically expanding applications, devices, and services in their daily lives. However, limited academic research has been done to validate empirically artificial autonomy and its downstream consequences on human behavior. This study investigates the role of artificial autonomy by dividing it into three types of autonomy in terms of task primitives, namely, sensing, thought, and action autonomy. Drawing on mind perception theory, the authors hypothesize that the two fundamental dimensions of humanlike perceptions-competence and warmth-of non-human entities could explain the mechanism between artificial autonomy and IPA usage. Our results reveal that the comparative effects of competence and warmth perception exist when artificial autonomy contributes to users' continuance usage intention. Theoretically, this study increases our understanding of AI enabled artificial autonomy in information systems research. These findings also provide insightful suggestions for practitioners regarding AI artifacts design.
引用
收藏
页数:15
相关论文
共 96 条
  • [1] Nonprofits Are Seen as Warm and For-Profits as Competent: Firm Stereotypes Matter
    Aaker, Jennifer
    Vohs, Kathleen D.
    Mogilner, Cassie
    [J]. JOURNAL OF CONSUMER RESEARCH, 2010, 37 (02) : 224 - 237
  • [2] The bigger one of the "Big Two"? Preferential processing of communal information
    Abele, Andrea E.
    Bruckmueller, Susanne
    [J]. JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY, 2011, 47 (05) : 935 - 948
  • [3] Al-Natour S, 2011, J ASSOC INF SYST, V12, P347
  • [4] Animesh A, 2011, MIS QUART, V35, P789
  • [5] [Anonymous], 2003, APPL MULTIPLE REGRES, DOI DOI 10.2307/2064799
  • [6] ESTIMATING NONRESPONSE BIAS IN MAIL SURVEYS
    ARMSTRONG, JS
    OVERTON, TS
    [J]. JOURNAL OF MARKETING RESEARCH, 1977, 14 (03) : 396 - 402
  • [7] Bagozzi R.P., 1988, Journal of the Academy of Marketing Science, V16, P74, DOI DOI 10.1007/BF02723327
  • [8] Toward a Framework for Levels of Robot Autonomy in Human-Robot Interaction
    Beer, Jenay M.
    Fisk, Arthur D.
    Rogers, Wendy A.
    [J]. JOURNAL OF HUMAN-ROBOT INTERACTION, 2014, 3 (02): : 74 - 99
  • [9] Understanding information systems continuance: An expectation-confirmation model
    Bhattacherjee, A
    [J]. MIS QUARTERLY, 2001, 25 (03) : 351 - 370
  • [10] Patiency is not a virtue: the design of intelligent systems and systems of ethics
    Bryson, Joanna J.
    [J]. ETHICS AND INFORMATION TECHNOLOGY, 2018, 20 (01) : 15 - 26