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One size does not fit all – Studying attitudes toward AI from three theoretical perspectives on technology acceptance
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/bdm.2155openalex-extracted
A systematic review of algorithm aversion in augmented decision making
inferredcites →https://doi.org/10.1002/poi3.276openalex-extracted
In AI we trust? Citizen perceptions of AI in government decision making
inferredcites →https://doi.org/10.1007/978-0-387-35609-9_13openalex-extracted
Choice and responsibility: the delegation of decision making to intelligent software agents
inferredcites →https://doi.org/10.1007/978-981-16-9268-0_4openalex-extracted
Under Which Conditions Are Humans Motivated to Delegate Tasks to AI? A Taxonomy on the Human Emotional State Driving the Motivation for AI Delegation
inferredcites →https://doi.org/10.1007/s00146-020-00960-wopenalex-extracted
Artificial intelligence, transparency, and public decision-making
inferredcites →https://doi.org/10.1007/s00146-021-01268-zopenalex-extracted
Australian public understandings of artificial intelligence
inferredcites →https://doi.org/10.1007/s10111-011-0194-3openalex-extracted
Extending the Technology Acceptance Model to assess automation
inferredcites →https://doi.org/10.1007/s10869-022-09829-9openalex-extracted
Trust in Artificial Intelligence: Comparing Trust Processes Between Human and Automated Trustees in Light of Unfair Bias
inferredcites →https://doi.org/10.1007/s11116-017-9808-9openalex-extracted
Literature review on surveys investigating the acceptance of automated vehicles
inferredcites →https://doi.org/10.1007/s11119-021-09814-xopenalex-extracted
Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior
inferredcites →https://doi.org/10.1007/s13347-017-0279-xopenalex-extracted
Fair, Transparent, and Accountable Algorithmic Decision-making Processes
inferredcites →https://doi.org/10.1016/bs.pbr.2020.06.006openalex-extracted
Trust in artificial intelligence for medical diagnoses
inferredcites →https://doi.org/10.1016/j.chb.2019.04.019openalex-extracted
Role of fairness, accountability, and transparency in algorithmic affordance
inferredcites →https://doi.org/10.1016/j.chb.2022.107308openalex-extracted
Rise of the machines: Delegating decisions to autonomous AI
inferredcites →https://doi.org/10.1016/j.chbr.2020.100014openalex-extracted
Initial validation of the general attitudes towards Artificial Intelligence Scale
inferredcites →https://doi.org/10.1016/j.cstp.2023.101072openalex-extracted
Analysis of Australian public acceptance of fully automated vehicles by extending technology acceptance model
inferredcites →https://doi.org/10.1016/j.dss.2005.05.009openalex-extracted
Value-based Adoption of Mobile Internet: An empirical investigation
inferredcites →https://doi.org/10.1016/j.giq.2020.101490openalex-extracted
An experimental study of public trust in AI chatbots in the public sector
inferredcites →https://doi.org/10.1016/j.giq.2023.101863openalex-extracted
Sustainability challenges of artificial intelligence and Citizens' regulatory preferences
inferredcites →https://doi.org/10.1016/j.ijhcs.2020.102551openalex-extracted
The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI
inferredcites →https://doi.org/10.1016/j.im.2006.05.003openalex-extracted
A meta-analysis of the technology acceptance model
inferredcites →https://doi.org/10.1016/j.obhdp.2018.12.005openalex-extracted
Algorithm appreciation: People prefer algorithmic to human judgment
inferredcites →https://doi.org/10.1016/j.rser.2011.08.018openalex-extracted
Psychological factors influencing sustainable energy technology acceptance: A review-based comprehensive framework
inferredcites →https://doi.org/10.1016/j.techsoc.2021.101741openalex-extracted
Artificial intelligence, systemic risks, and sustainability
inferredcites →https://doi.org/10.1016/j.tele.2019.101324openalex-extracted
Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products
inferredcites →https://doi.org/10.1016/j.tele.2022.101925openalex-extracted
What factors contribute to the acceptance of artificial intelligence? A systematic review
inferredcites →https://doi.org/10.1016/j.trf.2022.05.002openalex-extracted
Public acceptance of connected vehicles: An extension of the technology acceptance model
inferredcites →https://doi.org/10.1016/s0921-8890(98)00028-1openalex-extracted
Towards a theory of delegation for agent-based systems
inferredcites →https://doi.org/10.1017/dap.2020.19openalex-extracted
Artificial intelligence for political decision-making in the European Union: Effects on citizens’ perceptions of input, throughput, and output legitimacy
inferredcites →https://doi.org/10.1037/xge0000033openalex-extracted
Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err
inferredcites →https://doi.org/10.1038/s41467-022-33417-3openalex-extracted
Public attitudes value interpretability but prioritize accuracy in Artificial Intelligence
inferredcites →https://doi.org/10.1038/s41746-023-00852-5openalex-extracted
An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals
inferredcites →https://doi.org/10.1080/09692290.2020.1814381openalex-extracted
Is artificial intelligence greening global supply chains? Exposing the political economy of environmental costs
inferredcites →https://doi.org/10.1080/10447318.2022.2050543openalex-extracted
Trust in AI and Its Role in the Acceptance of AI Technologies
inferredcites →https://doi.org/10.1080/10447318.2022.2070107openalex-extracted
Integrating Transparency, Trust, and Acceptance: The Intelligent Systems Technology Acceptance Model (ISTAM)
inferredcites →https://doi.org/10.1080/10447318.2023.2170368openalex-extracted
The Delegation-Level Choice of an Automated Vehicle: An Analysis by Structural Equation Modeling
inferredcites →https://doi.org/10.1086/261181openalex-extracted
Bureaucratic Discretion or Congressional Control? Regulatory Policymaking by the Federal Trade Commission
inferredcites →https://doi.org/10.1093/oxfordhb/9780199757183.001.0001openalex-extracted
The Oxford Handbook of Cognitive Engineering
inferredcites →https://doi.org/10.1108/ijchm-08-2022-1041openalex-extracted
Letting AI make decisions for me: an empirical examination of hotel guests’ acceptance of technology agency
inferredcites →https://doi.org/10.1109/tai.2024.3461633openalex-extracted
Artificial Intelligence Across Europe: A Study on Awareness, Attitude and Trust
inferredcites →https://doi.org/10.1111/j.1468-0386.2007.00378.xopenalex-extracted
Analysing and Assessing Accountability: A Conceptual Framework 1
inferredcites →https://doi.org/10.1111/j.1540-5915.2008.00192.xopenalex-extracted
Technology Acceptance Model 3 and a Research Agenda on Interventions
inferredcites →https://doi.org/10.1111/padm.12901openalex-extracted
Algorithms in the public sector. Why context matters
inferredcites →https://doi.org/10.1111/puar.13483openalex-extracted
Explaining Why the Computer Says No: Algorithmic Transparency Affects the Perceived Trustworthiness of Automated Decision‐Making
inferredcites →https://doi.org/10.1111/rego.12369openalex-extracted
How to regulate algorithmic decision‐making: A framework of regulatory requirements for different applications
inferredcites →https://doi.org/10.1111/risa.13457openalex-extracted
Social Influence, Risk and Benefit Perceptions, and the Acceptability of Risky Energy Technologies: An Explanatory Model of Nuclear Power Versus Shale Gas
inferredcites →https://doi.org/10.1145/3491209openalex-extracted
Trustworthy Artificial Intelligence: A Review
inferredcites →https://doi.org/10.1146/annurev-polisci-051120-104535openalex-extracted
Automation, Digitalization, and Artificial Intelligence in the Workplace: Implications for Political Behavior
inferredcites →https://doi.org/10.1518/hfes.46.1.50.30392openalex-extracted
Trust in Automation: Designing for Appropriate Reliance
inferredcites →https://doi.org/10.2139/ssrn.3890774openalex-extracted
Consumers Are Willing to Pay a Price for Explainable, But Not for Green AI
inferredcites →https://doi.org/10.2307/249008openalex-extracted
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
inferredcites →https://doi.org/10.2307/2579937openalex-extracted
Risk Society: Towards a New Modernity.
inferredcites →https://doi.org/10.2307/258792openalex-extracted
An Integrative Model of Organizational Trust
inferredcites →https://doi.org/10.2307/30036540openalex-extracted
User Acceptance of Information Technology: Toward A Unified View1
inferredcites →https://doi.org/10.5465/amr.1995.9508080335openalex-extracted
An Integrative Model Of Organizational Trust
inferredcites →https://doi.org/10.5465/annals.2018.0057openalex-extracted
Human Trust in Artificial Intelligence: Review of Empirical Research
inferredcites →https://doi.org/10.56315/pscf3-22crawfordopenalex-extracted
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
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