Impact of AI regulation on intention to use robots From citizens and government perspective

被引:65
作者
Chatterjee, Sheshadri [1 ]
机构
[1] IIT Delhi, Dept Management Studies, New Delhi, India
关键词
Robots; Regulation; Government; Citizen; AI; TECHNOLOGY ACCEPTANCE MODEL; INFORMATION-TECHNOLOGY; VARIANCE; ETHICS; FUTURE; TRUST; INDIA;
D O I
10.1108/IJIUS-09-2019-0051
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Purpose The purpose of this paper is to identify the factors influencing the citizens to use robots that would improve the quality of life of the citizens. Design/methodology/approach With the help of different adoption theories and models and with the support of background studies, some hypotheses have been formulated and a conceptual model has been developed with the consideration of the impact of artificial intelligence regulation (IAR) that controls the use of robots as a moderator. The model has been validated and the hypotheses have been tested by statistical analysis with the help of survey works involving consideration of feedbacks from 503 usable respondents. Findings The study reveals that the use of robots by the citizens would appreciably increase if government imposes strict artificial intelligence (AI) regulatory control concerning the use of robots, and in that case, it appears that the use of robots would improve the quality of life of the citizens. Originality/value There are a few studies covering analysis of IAR as a moderator on the linkages of the predictors with the intention of the citizens to use robots. In this context, this study is claimed to have offered a novel contribution.
引用
收藏
页码:97 / 114
页数:18
相关论文
共 67 条
[31]  
Harman H., 1967, Modern factor analysis
[32]   Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model [J].
Heerink, Marcel ;
Krose, Ben ;
Evers, Vanessa ;
Wielinga, Bob .
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2010, 2 (04) :361-375
[33]   Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013) [J].
Henseler, Jorg ;
Dijkstra, Theo K. ;
Sarstedt, Marko ;
Ringle, Christian M. ;
Diamantopoulos, Adamantios ;
Straub, Detmar W. ;
Ketchen, David J., Jr. ;
Hair, Joseph F. ;
Hult, G. Tomas M. ;
Calantone, Roger J. .
ORGANIZATIONAL RESEARCH METHODS, 2014, 17 (02) :182-209
[34]   Use of exploratory factor analysis in published research - Common errors and some comment on improved practice [J].
Henson, Robin K. ;
Roberts, J. Kyle .
EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 2006, 66 (03) :393-416
[35]   Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives [J].
Hu, Li-tze ;
Bentler, Peter M. .
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 1999, 6 (01) :1-55
[36]   Customer self-service systems: The effects of perceived Web quality with service contents on enjoyment, anxiety, and e-trust [J].
Hwang, Yujong ;
Kim, Dan J. .
DECISION SUPPORT SYSTEMS, 2007, 43 (03) :746-760
[37]   Introduction: Roboethics as an Emerging Field of Ethics of Technology [J].
Ishihara, Kohji ;
Fukushi, Tamami .
ACCOUNTABILITY IN RESEARCH-POLICIES AND QUALITY ASSURANCE, 2010, 17 (06) :273-277
[38]  
James G, 2017, Data for an Introduction to Statistical Learning with Applications in R, Package 'ISLR
[39]   BEHAVE-II: The Revised Set of Measures to Assess Users' Attitudinal and Behavioral Responses to a Social Robot [J].
Joosse, Michiel ;
Sardar, Aziez ;
Lohse, Manja ;
Evers, Vanessa .
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2013, 5 (03) :379-388
[40]   Children's Social Relationships With Current and Near-Future Robots [J].
Kahn, Peter H., Jr. ;
Gary, Heather E. ;
Shen, Solace .
CHILD DEVELOPMENT PERSPECTIVES, 2013, 7 (01) :32-37