The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Fear of Autonomous Robots and Artificial Intelligence: Evidence from National Representative Data with Probability Sampling
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“some evidence exists for the association of AI acceptance with age [45] and country [46].”
From Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study (2023) · cites this paper as [45]
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
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A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
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The application of electronic computers to factor analysis
Kaiser, H. F. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000116 · Cited by 12,459
Evaluating the use of exploratory factor analysis in psychological research.
Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.3.272 · Cited by 9,587
Putting the fear back into fear appeals: the extended parallel process model
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An entropy criterion for assessing the number of clusters in a mixture model
Celeux, G., & Soromenho, G. (1996) · Journal of Classification · doi:10.1007/bf01246098 · Cited by 2,448 · cited 1×
“0indicatedcleardelineationofclasses [2].”
Wang, J., & Wang, X. (2012) · Wiley series in probability and statistics · doi:10.1002/9781118356258 · Cited by 1,384
Structural Equation Modeling: Applications Using Mplus
Wang, J., & Wang, X. (2012) · Cited by 1,326
Selective Exposure To Communication
(2013) · Routledge eBooks · doi:10.4324/9780203056721 · Cited by 786
The development of a scale to measure fear
Geer, J. H. (1965) · Behaviour Research and Therapy · doi:10.1016/0005-7967(65)90040-9 · Cited by 777
Nomura, T., Kanda, T., & Suzuki, T. (2005) · AI & Society · doi:10.1007/s00146-005-0012-7 · Cited by 530
Factors Influencing Four Rules For Determining The Number Of Components To Retain
Zwick, W. R., & Velicer, W. F. (1982) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr1702_5 · Cited by 519
The Use of Exploratory Factor Analysis and Principal Components Analysis in Communication Research
Park, H. S., Dailey, R. M., & Lemus, D. R. (2002) · Human Communication Research · doi:10.1111/j.1468-2958.2002.tb00824.x · Cited by 286
Tudor, A. (2003) · The Sociological Review · doi:10.1111/1467-954x.00417 · Cited by 154
Liang, Y. J., & Lee, S. A. (2016) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2016.0199 · Cited by 14
Self-citation
Cited by
Sorted by citations
What factors contribute to the acceptance of artificial intelligence? A systematic review
Kelly, S., Kaye, S.-A., & Oviedo-Trespalacios, Ó. (2022) · Telematics and Informatics · doi:10.1016/j.tele.2022.101925 · Cited by 1,340
Sohn, K., & Kwon, O. (2020) · Telematics and Informatics · doi:10.1016/j.tele.2019.101324 · Cited by 646
Unreal influence: leveraging AI in influencer marketing
Sands, S., Campbell, C. L., Plangger, K. A., & Ferraro, C. (2022) · European Journal of Marketing · doi:10.1108/ejm-12-2019-0949 · Cited by 555
Attachment and trust in artificial intelligence
Gillath, O., Ai, T., Branicky, M. S., Keshmiri, S., Davison, R. B., & Spaulding, R. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106607 · Cited by 448
Attitudes towards AI: measurement and associations with personality
Stein, J.-P., Messingschlager, T., Gnambs, T., Hutmacher, F., & Appel, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-53335-2 · Cited by 309
“Likewise, studies have hinted at the higher apprehensiveness towards AI-powered technology among the elderly, potentially due to a lack of understanding and accessibility 6 .”
Background
Metadata
- Authors
- Liang, Y., & Lee, S. A.
- Affiliations
- Chapman University (US)
- Northern Kentucky University (US)
- Corresponding author
- Liang, Yuhua
- Venue
- International Journal of Social Robotics
- Published
- 2017-03-08
- Volume
- 9
- Issue
- 3
- Pages
- 379-384
- ISSN
- 1875-4791 (ISSN-L)
- 1875-4805
- OpenAlex
- W2592721812
- Cited by
- 197
- References
- 15
- Citations by year
- 2026: 27 · 2025: 39 · 2024: 38 · 2023: 32 · 2022: 25 · 2021: 22 · 2020: 10 · 2019: 4
- FWCI
- 5.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Social Robotics (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Keywords
- artificial intelligence, robot acceptance, loneliness, unemployment
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