Cited by 197Social Robot Interaction and HRIEthics and Social Impacts of AIAI in Service Interactions

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

Liang, Yuhua, Lee, Seungcheol Austin·2017·International Journal of Social Robotics

DOI 10.1007/s12369-017-0401-3

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1007/s12369-017-0401-3

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
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
Witte, K. (1992) · Communication Monographs · doi:10.1080/03637759209376276 · Cited by 3,880
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].”
Structural Equation Modeling
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

Show all 15 references

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
Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products
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
Who Likes Artificial Intelligence? Personality Predictors of Attitudes toward Artificial Intelligence
Park, J., & Woo, S. E. (2022) · The Journal of Psychology · doi:10.1080/00223980.2021.2012109 · Cited by 243
How social anxiety leads to problematic use of conversational AI: The roles of loneliness, rumination, and mind perception
Hu, B., Mao, Y., & Kim, K. J. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107760 · Cited by 228
The uncanny of mind in a machine: Humanoid robots as tools, agents, and experiencers
Appel, M., Izydorczyk, D., Weber, S., Mara, M., & Lischetzke, T. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.07.031 · Cited by 211
Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence
Kieslich, K., Keller, B., & Starke, C. (2022) · Big Data & Society · doi:10.1177/20539517221092956 · Cited by 259
Self-determination and attitudes toward artificial intelligence: cross-national and longitudinal perspectives
Bergdahl, J., Latikka, R., Celuch, M., Savolainen, I., Soares Mantere, E., Savela, N., & Oksanen, A. (2023) · Telematics and Informatics · doi:10.1016/j.tele.2023.102013 · Cited by 204
Acceptance and Fear of Artificial Intelligence: associations with personality in a German and a Chinese sample
Sindermann, C., Yang, H., Elhai, J. D., Yang, S., Quan, L., Li, M., & Montag, C. (2022) · Discover Psychology · doi:10.1007/s44202-022-00020-y · Cited by 175
Attitudes towards artificial intelligence at work: Scale development and validation
Park, J., Woo, S. E., & Kim, J. (2024) · Journal of Occupational and Organizational Psychology · doi:10.1111/joop.12502 · Cited by 150
Introducing a sustainable career ecosystem: Theoretical perspectives, conceptualization, and future research agenda
Donald, W. E., HEIJDEN, B. I. J. M. V. D., & Baruch, Y. (2024) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2024.103989 · Cited by 175
The Robot Privacy Paradox: Understanding How Privacy Concerns Shape Intentions to Use Social Robots
Lutz, C., & Tamò‐Larrieux, A. (2020) · Human-Machine Communication · doi:10.30658/hmc.1.6 · Cited by 142
Finnish 5th and 6th grade students' pre-instructional conceptions of artificial intelligence (AI) and their implications for AI literacy education
Mertala, P., Fagerlund, J., & Calderon, O. (2022) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2022.100095 · Cited by 186
Does distrust in humans predict greater trust in AI? Role of individual differences in user responses to content moderation
Molina, M. D., & Sundar, S. S. (2024) · New Media & Society · doi:10.1177/14614448221103534 · Cited by 124
Fear of AI: an inquiry into the adoption of autonomous cars in spite of fear, and a theoretical framework for the study of artificial intelligence technology acceptance
Cugurullo, F., & Acheampong, R. A. (2023) · AI & Society · doi:10.1007/s00146-022-01598-6 · Cited by 142
Public acceptance of drone applications in a highly urbanized environment
Tan, L. K. L., Lim, B. C., Park, G., Low, K. H., & Yeo, V. C. S. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101462 · Cited by 119
A Critical Historic Overview of Artificial Intelligence: Issues, Challenges, Opportunities, and Threats
Groumpos, P. P. (2023) · Artificial Intelligence and Applications · doi:10.47852/bonviewaia3202689 · Cited by 148
Design Lessons From AI’s Two Grand Goals: Human Emulation and Useful Applications
Shneiderman, B. (2020) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2020.2992669 · Cited by 128
The Threats of Artificial Intelligence Scale (TAI)
Kieslich, K., Lünich, M., & Marcinkowski, F. (2021) · International Journal of Social Robotics · doi:10.1007/s12369-020-00734-w · Cited by 137
Investigating the negative bias towards artificial intelligence: Effects of prior assignment of AI-authorship on the aesthetic appreciation of abstract paintings
Chiarella, S. G., Torromino, G., Gagliardi, D. M., Rossi, D., Babiloni, F., & Cartocci, G. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107406 · Cited by 112
Attitude of college students towards ethical issues of artificial intelligence in an international university in Japan
Ghotbi, N., Ho, M. T., & Mantello, P. (2022) · AI & SOCIETY · doi:10.1007/s00146-021-01168-2 · Cited by 99
What is There to Fear? Understanding Multi-Dimensional Fear of AI from a Technological Affordance Perspective
Zhan, E. S., Molina, M. D., Rheu, M., & Peng, W. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2261731 · Cited by 112
Persuasion in the Age of Artificial Intelligence (AI): Theories and Complications of AI-Based Persuasion
Dehnert, M., & Mongeau, P. A. (2022) · Human Communication Research · doi:10.1093/hcr/hqac006 · Cited by 86
Black, white or grey magic? Our future with artificial intelligence
Letheren, K., Russell‐Bennett, R., & Whittaker, L. (2020) · Journal of Marketing Management · doi:10.1080/0267257x.2019.1706306 · Cited by 81
Examining the Diffusion of Innovations from a Dynamic, Differential-Effects Perspective: A Longitudinal Study on AI Adoption Among Employees
Xu, S., Kee, K. F., Li, W., Yamamoto, M., & Riggs, R. E. (2023) · Communication Research · doi:10.1177/00936502231191832 · Cited by 96
Do Privacy Concerns About Social Robots Affect Use Intentions? Evidence From an Experimental Vignette Study
Lutz, C., & Tamò‐Larrieux, A. (2021) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.627958 · Cited by 70
Der Glaube an Big Data
Lünich, M. (2022) · Springer eBooks · doi:10.1007/978-3-658-36368-0 · Cited by 68
The Effects of Anthropomorphised Virtual Conversational Assistants on Consumer Engagement and Trust During Service Encounters
Fakhimi, A., Garry, T., & Biggemann, S. (2023) · Australasian Marketing Journal (AMJ) · doi:10.1177/14413582231181140 · Cited by 67
Moral Awareness of College Students Regarding Artificial Intelligence
Ghotbi, N., & Ho, T. M. (2021) · Asian Bioethics Review · doi:10.1007/s41649-021-00182-2 · Cited by 67
Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study
Kleine, A.-K., Kokje, E., Lermer, E., & Gaube, S. (2023) · JMIR Human Factors · doi:10.2196/46859 · Cited by 49
Fear of Robots and Life Satisfaction
Hinks, T. (2020) · International Journal of Social Robotics · doi:10.1007/s12369-020-00640-1 · Cited by 50
Attachment anxiety and problematic use of conversational artificial intelligence: mediation of emotional attachment and moderation of anthropomorphic tendencies
Heng, S., & Zhang, Z. (2025) · Psychology Research and Behavior Management · doi:10.2147/prbm.s531805 · Cited by 31
The future of neuromodulation: smart neuromodulation
Ridder, D. D., Maciaczyk, J., & Vanneste, S. (2021) · Expert Review of Medical Devices · doi:10.1080/17434440.2021.1909470 · Cited by 44
Retail robots as sales assistants: how speciesism moderates the effect of robot intelligence on customer perceptions and behaviour
Guido, J. C. F. L., Kim, J. W., Leszczyc, P. T. L. P., Pontes, N., & Tuzovic, S. (2023) · Journal of Service Theory and Practice · doi:10.1108/jstp-04-2023-0123 · Cited by 46
Trust in AI-augmented design: Applying structural equation modeling to AI-augmented design acceptance
Zhou, C., Liu, X., Yu, C., Tao, Y., & Shao, Y. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e23305 · Cited by 49
Personality and acceptance as predictors of ChatGPT use
de Winter, J., Dodou, D., & Eisma, Y. B. (2024) · Discover Psychology · doi:10.1007/s44202-024-00161-2 · Cited by 43
Living with Autonomy: Public Perceptions of an AI-Mediated Future
Kaßens-Noor, E., Wilson, M. I., Kotval-K, Z., Cai, M., & Decaminada, T. (2021) · Journal of Planning Education and Research · doi:10.1177/0739456x20984529 · Cited by 45
Defense Against the Dark Cars
Moore, D. J., Currano, R., Shanks, M., & Sirkin, D. M. (2020) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3319502.3374796 · Cited by 41
“Threatened and empty selves following AI-based virtual influencers”: comparison between followers and non-followers of virtual influencers in AI-driven digital marketing
Jin, S. A., & Viswanathan, V. (2024) · AI & Society · doi:10.1007/s00146-023-01832-9 · Cited by 40
Artificial Intelligence in nursing: trustworthy or reliable?
Higgins, O., Chalup, S. K., & Wilson, R. L. (2024) · Journal of research in nursing · doi:10.1177/17449871231215696 · Cited by 42
Instilling warmth in artificial intelligence? Examining publics’ responses to AI-applied corporate ability and corporate social responsibility practices
Wu, L., Chen, Z. F., & Tao, W. (2024) · Public Relations Review · doi:10.1016/j.pubrev.2024.102426 · Cited by 35
Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment
Marmolejo‐Ramos, F., Marrone, R. L., Korolkiewicz, M. W., Gabriel, F. C., Siemens, G., Joksimovíc, S., Yamada, Y., Mori, Y., Rahwan, T., Sahakyan, M., et al. (2025) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2024.1465605 · Cited by 45
When Usefulness Fuels Fear: The Paradox of Generative AI Dependence and the Mitigating Role of AI Literacy
Liu, J. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2544006 · Cited by 43
AI vs. Human Voices: How Delivery Source and Narrative Format Influence the Effectiveness of Persuasion Messages
Dai, Y. H., Lee, J., & Kim, J. W. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2288734 · Cited by 38
A contextualized study of blockchain technology adoption as a digital currency platform under sanctions
Ronaghi, M. H. (2022) · Management Decision · doi:10.1108/md-03-2022-0392 · Cited by 30
A Taxonomy of Robot Autonomy for Human-Robot Interaction
Kim, S., Anthis, J. R., & Sebo, S. S. (2024) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3610977.3634993 · Cited by 40
What drives Chinese university students’ long-term use of GenAI? Evidence from the heuristic-systematic model
Liu, Y., Zhang, Z., & Wu, Y. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13403-0 · Cited by 39
The Doors of Social Robot Perception: The Influence of Implicit Self-theories
Allan, D. D., Vonasch, A. J., & Bartneck, C. (2021) · International Journal of Social Robotics · doi:10.1007/s12369-021-00767-9 · Cited by 25
Sex Robots: Are We Ready for Them? An Exploration of the Psychological Mechanisms Underlying People’s Receptiveness of Sex Robots
Ma, J., Tojib, D., & Tsarenko, Y. (2022) · Journal of Business Ethics · doi:10.1007/s10551-022-05059-4 · Cited by 30
Intention to use robotic exoskeletons by older people: A fuzzy-set qualitative comparative analysis approach
Chen, K., LOU, V. W. Q., & Cheng, C. Y. M. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107610 · Cited by 29
A cross-national assessment of artificial intelligence (AI) Chatbot user perceptions in collegiate physics education
Agyare, B. O., Asare, J., Kraishan, A., Nkrumah, I., & Adjekum, D. K. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100365 · Cited by 45
Exploring the roles of trust and social group preference on the legitimacy of algorithmic decision-making vs. human decision-making for allocating COVID-19 vaccinations
Lünich, M., & Kieslich, K. (2022) · AI & Society · doi:10.1007/s00146-022-01412-3 · Cited by 26
Social identity in trusting artificial intelligence agents: Evidence from lab and online experiments
Sun, Y., Xu, C., & Xu, H. (2024) · Managerial and Decision Economics · doi:10.1002/mde.4361 · Cited by 26
Automation Anxieties: Perceptions About Technological Automation and the Future of Pharmacy Work
Piercy, C. W., & Gist‐Mackey, A. N. (2021) · Human-Machine Communication · doi:10.30658/hmc.2.10 · Cited by 23
An Immersive Investment Game to Study Human-Robot Trust
Zörner, S., Arts, E., Vasiljevic, B., Srivastava, A., Schmalzl, F., Mir, G., Bhatia, K., Strahl, E., Peters, A., Alpay, T., et al. (2021) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.644529 · Cited by 22
Integrating Artificial Intelligence in Interior Design Education: Concept Development
Kahraman, M. U., Şekerci, Y., Develier, M., & Koyuncu, F. (2024) · Journal of Computational Design · doi:10.53710/jcode.1418783 · Cited by 22
Mental health practitioners’ perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study
Cecil, J., Kleine, A., Lermer, E., & Gaube, S. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-12715-8 · Cited by 39
A preferred reality: Film portrayals of robots and AI in popular science fiction
Dieter, D. G., & Gessler, E. C. (2021) · Journal of Science & Popular Culture · doi:10.1386/jspc_00025_1 · Cited by 21
Transitioning towards human–robot synergy in agriculture: A systems thinking perspective
Aivazidou, E., & Tsolakis, N. (2022) · Systems Research and Behavioral Science · doi:10.1002/sres.2887 · Cited by 21
Public perception of socially assistive robots for healthcare in the EU: A large-scale survey
Aymerich-Franch, L., & Gómez, E. (2024) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2024.100465 · Cited by 21
Understanding Reactions in Human‐Robot Encounters with Autonomous Quadruped Robots
Chan, Y., & Hauser, E. (2023) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.771 · Cited by 20
Attitudes, experiences, and usage intentions of artificial intelligence: A population study in Germany
Gnambs, T., Stein, J., Zinn, S., Griese, F., & Appel, M. (2025) · Telematics and Informatics · doi:10.1016/j.tele.2025.102265 · Cited by 28
Autonomous Systems and Technology Resistance: New Tools for Monitoring Acceptance, Trust, and Tolerance
Cappuccio, M. L., Galliott, J. C., Eyssel, F., & Lanteri, A. (2023) · International Journal of Social Robotics · doi:10.1007/s12369-023-01065-2 · Cited by 18
Do Personality Traits Impact the Attitudes Towards Artificial Intelligence?
Babiker, A., Alshakhsi, S. A. A., Supti, T. I., & Ali, R. (2024) · International Conference on Behavioral, Economic, and Socio-Cultural Computing · doi:10.1109/besc64747.2024.10780777 · Cited by 21
Service robots, artificial intelligence awareness, self-efficacy and work engagement
Kong, X., Yuan, W., & Ma, C. (2025) · Management Decision · doi:10.1108/md-05-2024-1058 · Cited by 20
Power-Posing Robots: The Influence of a Humanoid Robot’s Posture and Size on its Perceived Dominance, Competence, Eeriness, and Threat
Stein, J., Cimander, P., & Appel, M. (2022) · International Journal of Social Robotics · doi:10.1007/s12369-022-00878-x · Cited by 17
The pandemic of loneliness: designing smart tourism for combating loneliness
Stankov, U., Ulrike Gretzel, B., Vujičić, M. D., Pavluković, V., Jovanović, T. S., Solarević, M., & Cimbaljević, M. (2022) · Information Technology & Tourism · doi:10.1007/s40558-022-00234-9 · Cited by 20
Adaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian Nurses
Morales-García, W. C., Sairitupa-Sanchez, L. Z., Morales-García, S. B., & Morales-García, M. (2024) · Behavioral Sciences · doi:10.3390/bs14060437 · Cited by 24
Interacting with Healthcare Chatbot: Effects of Status Cues and Message Contingency on AI Credibility Assessment
Dong, Y., & Wu, Y. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2387396 · Cited by 17
Creative self-efficacy, learning agility, and proactive career behaviors: The moderated mediation effect of positive AI attitudes among young adults
Gerçek, M., & Özveren, C. G. (2025) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2025.101895 · Cited by 21
Does AI-Generated Care-Based Message Increase Trust in Government? The Pivotal Role of AI Knowledge in Government Crisis Response
Zhan, E. S., Zheng, Q., Dong, C., & Thorson, E. (2025) · International Journal of Strategic Communication · doi:10.1080/1553118x.2025.2471527 · Cited by 22
Employees’ intention to use artificial intelligence
Park, J., & Jung, Y. (2021) · Korean Journal of Industrial and Organizational Psychology · doi:10.24230/kjiop.v34i2.183-211 · Cited by 15
Still doing it yourself? Investigating determinants for the adoption of intelligent process automation
Mayr, A., Stahmann, P., Nebel, M., & Janiesch, C. (2024) · Electronic Markets · doi:10.1007/s12525-024-00737-9 · Cited by 18
Identity of AI
Devedžić, V. (2022) · Discover Artificial Intelligence · doi:10.1007/s44163-022-00038-0 · Cited by 25
Interpretations of Innovation: The Role of Technology in Explanation Seeking Related to Psychosis
Higgins, O., Short, B., Chalup, S. K., & Wilson, R. L. (2023) · Perspectives In Psychiatric Care · doi:10.1155/2023/4464934 · Cited by 19
Explainable AI (XAI) for AI-Acceptability: The Coming Age of Digital Management 5.0
Gamoura, S. C. (2023) · IEEE International Conference on Networking, Sensing and Control (ICNSC) · doi:10.1109/icnsc58704.2023.10319030 · Cited by 15
Social Media Use and Attitudes toward AI: The Mediating Roles of Perceived AI Fairness and Threat
Li, W., & Zheng, X. (2024) · Human Behavior and Emerging Technologies · doi:10.1155/2024/3448083 · Cited by 25
Substance, discourse, and practice: a review of communication research on automation
Barbour, J. B., Jensen, J. T., Call, S. R., & Sharma, N. (2023) · Annals of the International Communication Association · doi:10.1080/23808985.2023.2183232 · Cited by 16
Semi‐Human Artificial Intelligence: The Effect of Search Modality (Text vs. Voice) on Perceived Eeriness and Consumers' Purchase Intention
Poushneh, A., & Gearhart, R. S. (2025) · Journal of Consumer Behaviour · doi:10.1002/cb.2496 · Cited by 14
The generation mechanism of teachers' anxiety toward digital human instructors in higher education: A mixed-methods perspective
Dong, H., Zhu, Y., Shen, J., & Xue, S. (2025) · The Internet and Higher Education · doi:10.1016/j.iheduc.2025.101041 · Cited by 11
Exploring Human-Robot Trust Through the Investment Game
Arts, E., Zörner, S., Bhatia, K., Mir, G., Schmalzl, F., Srivastava, A., Vasiljevic, B., Alpay, T., Peters, A., Strahl, E., et al. (2020) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3406499.3415078 · Cited by 11
The need for human-centered design for AI robots in urban parks and forests
Jaung, W. (2023) · Urban forestry & urban greening · doi:10.1016/j.ufug.2023.128186 · Cited by 10
Impact of Multi-Robot Presence and Anthropomorphism on Human Cognition and Emotion
Luo, J., Domova, V., & Kim, L. H. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642795 · Cited by 13
Exploring the links between school principals’ self-efficacy, open innovation mindset, transformational leadership, and artificial intelligence (AI) attitudes in Türkiye
Erdoğan, O., Kaymak, M. N., Çoban, Ö., & Bora, H. T. (2025) · Educational Management Administration & Leadership · doi:10.1177/17411432251351830 · Cited by 16
The Golden Age Is Behind Us: How the Status Quo Impacts the Evaluation of Technology
Smiley, A. H., & Fisher, M. (2022) · Psychological Science · doi:10.1177/09567976221102868 · Cited by 10
P(doom) Versus AI Optimism: Attitudes Toward Artificial Intelligence and the Factors That Shape Them
Guingrich, R. E., & Graziano, M. S. A. (2025) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-025-00512-3 · Cited by 13
Empowering Adults with AI Literacy: Using Short Videos to Transform Understanding and Harness Fear for Critical Thinking
Cao, H. J., Lee, H. R., & Peng, W. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713254 · Cited by 16
From interface to inference: mapping the impact of generative artificial intelligence affordances on user risk perception
Zhao, H., Han, Z., Yin, S., yang, N., & Hansen, P. (2025) · Telematics and Informatics · doi:10.1016/j.tele.2025.102299 · Cited by 9
Duygusal Yalnızlığa Bir Çözüm Olarak Chatgpt: Kişilerarası İletişimin Yeni Aracı
SARIOĞLU, E. B., & GÜREGEN, E. P. (2024) · Türkiye İletişim Araştırmaları Dergisi · doi:10.17829/turcom.1360418 · Cited by 13
Anxiety in the face of Artificial Intelligence. Between pragmatic fears and uncanny terrors / Ansiedad ante la Inteligencia Artificial. Entre temores pragmáticos y terrores ominosos
Rodríguez, C. G. (2024) · Studies in Psychology Estudios de Psicología · doi:10.1177/02109395241241386 · Cited by 7
Expanding the Frontiers of Industrial Robots beyond Factories: Design and in the Wild Validation
Capy, S., Rincon, L., Coronado, E., Hagane, S., Yamaguchi, S., Leve, V., Kawasumi, Y., Kudou, Y., & Venture, G. (2022) · Machines · doi:10.3390/machines10121179 · Cited by 8
The Influence of Negative Stereotypes in Science Fiction and Fantasy on Public Perceptions of Artificial Intelligence: A Systematic Review
Bo, D., Ma’rof, A. A., & Zaremohzzabieh, Z. (2024) · Studies in Media and Communication · doi:10.11114/smc.v13i1.7212 · Cited by 7
Ready or Not? Examining Acceptance and Fears of Robots in the Labor Market: A Survey of a Polish Sample
Maj, K., Sawicki, K., & Samson, K. (2024) · Roczniki Psychologiczne · doi:10.18290/rpsych2023.0019 · Cited by 7
Addressing the needs of an aging workforce in luxury hotels with a focus on perceived job insecurity and AI attitudes
Jung, H., Yoon, H., & Cho, M. (2025) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-09-2024-0614 · Cited by 6
Choosing Ethics Over Morals: A Possible Determinant to Embracing Artificial Intelligence in Future Urban Mobility
Kaßens-Noor, E., Siegel, J. E., & Decaminada, T. (2021) · Frontiers in Sustainable Cities · doi:10.3389/frsc.2021.723475 · Cited by 8
Application of the Technology Acceptance Model to an Intelligent Cost Estimation System: An Empirical Study in the Automotive Industry
Bodendorf, F., & Franke, J. (2022) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2022.144 · Cited by 7
Commentary: Societal Reactions to Hopes and Threats of Autonomous Agent Actions: Reflections about Public Opinion and Technology Implementations
Kieslich, K. (2021) · Human-Computer Interaction · doi:10.1080/07370024.2021.1976642 · Cited by 7
Society-related Fears and Personal Mental Health
Mutz, M. (2024) · Applied Research in Quality of Life · doi:10.1007/s11482-024-10367-0 · Cited by 7

Authors: Liang, Y., & Lee, S. A.
Affiliations: Chapman University (US)
Northern Kentucky University (US)
Corresponding author: Liang, Yuhua
ORCID: Liang, Yuhua
Lee, Seungcheol Austin
Venue: International Journal of Social Robotics
Publisher: Springer Science and Business Media LLC
Published: 2017-03-08
Volume: 9
Issue: 3
Pages: 379-384
ISSN: 1875-4791 (ISSN-L)
1875-4805
DOI: 10.1007/s12369-017-0401-3
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
Licence: www.springer.com/tdm (unspecified)
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Fear of Autonomous Robots and Artificial Intelligence: Evidence from National Representative Data with Probability Sampling

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks