Algorithm aversion: people erroneously avoid algorithms after seeing them err.

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Journal of experimental psychology. General

• Publication date

  2015-01-31

• Fields of study

  Medicine, Economics, Psychology

• Identifiers
  DOI 10.1037/xge0000033PMID 25401381
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Clinical versus Statistical Prediction

  2015cited by this paper
• Signal and Noise: Why So Many Predictions Fail – but Some Don't

  2013cited by this paper
• Why Do Patients Derogate Physicians Who Use a Computer-Based Diagnostic Support System?

  2013cited by this paper
• The signal and the noise : why so many predictions fail but some don't

  2012cited by this paper
• What People Want From Their Professionals: Attitudes Toward Decision‐making Strategies

  2012cited by this paper
• Lay Perceptions of Selection Decision Aids in US and Non-US Samples

  2011cited by this paper
• The relative influence of advice from human experts and statistical methods on forecast adjustments

  2009cited by this paper
• Stubborn Reliance on Intuition and Subjectivity in Employee Selection

  2008influential reference
• Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models

  2008cited by this paper
• The trouble with overconfidence.

  2008influential reference
• Competing on Analytics: The New Science of Winning

  2007cited by this paper
• Do patients trust computers

  2006cited by this paper
• Heuristics and Biases: Clinical versus Actuarial Judgment

  2002cited by this paper
• Clinical versus mechanical prediction: a meta-analysis.

  2000cited by this paper
• Lake Wobegon be gone! The "below-average effect" and the egocentric nature of comparative ability judgments.

  1999influential reference
• Comparative efficiency of informal (subjective, impressionistic) and formal (mechanical, algorithmic) prediction procedures: The clinical–statistical controversy.

  1996influential reference
• Preference and belief: Ambiguity and competence in choice under uncertainty

  1991cited by this paper
• Factors influencing the use of a decision rule in a probabilistic task

  1986cited by this paper
• Accepting error to make less error.

  1986cited by this paper
• Clinical versus Statistical Prediction

  1956cited by this paper
• International Journal of Information Management

  year unknowncited by this paper

• Normalizing AI: The Evanishing Effect and Rethinking the Machine Heuristic

  2026cites this paper
• Under what influence: Measuring AI influence to fit user profiles in decision-making

  2026cites this paper
• Student Acceptance of AI-Driven Deep Learning Tools: The Influence of Institutional Support and Teacher Competency in Vocational Schools

  2026cites this paper
• When algorithms fail us: perceived algorithmic ineffectiveness, psychological reactance, and implicit personality as drivers of algorithm aversion behavior on short-form video platforms

  2026cites this paper
• Digital human avatars as virtual influencers shape climate engagement and pro-environmental commitment

  2026cites this paper
• Insurance chatbot adoption and continued usage in emerging markets: impact of human-agent access

  2026cites this paper
• When help feels creepy: A MOA model of AI smart-retail adoption via perceived intrusiveness and the moderating role of trust in AI

  2026cites this paper
• Knowledge workers’ trust and reception of generative AI’s advice in complex tasks

  2026cites this paper
• A Question of Trust: Dynamics of the Perceived Uncertainty–Trust Dilemma With Artificial Intelligence in Strategy Process Initiation

  2026cites this paper
• Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agents

  2026cites this paper
• Shame or Anger? The Impact of Negative Performance Feedback Sources (AI Versus Leader) on Employees' Job Crafting.

  2026cites this paper
• Artificial Intelligence in entrepreneurship: Mapping a fragmented field and advancing a cognitive research agenda

  2026cites this paper
• Psychological Ownership as a Boundary Condition in AI Recommendation: Credibility Formation and Behavioral Intentions in Electronic Commerce

  2026cites this paper
• Understanding algorithmic transference in digital governance: a social identity theory perspective on public trust and policy responses

  2026cites this paper
• The bright side of AI in hiring: Collaborating with algorithms supports ethical decision-making

  2026cites this paper
• Algorithm aversion in agricultural decision-making: Trust dynamics, barriers, and fertiliser-related decision support

  2026cites this paper
• Skeptical and credulous belief updating under black box recommendations

  2026cites this paper
• Is a Chatbot More Effective? Investigating the Effect of Service Recovery Agents and Consumer Loss on Consumer Forgiveness

  2026cites this paper
• Incentive-Tuning: Understanding and Designing Incentives for Empirical Human-AI Decision-Making Studies

  2026cites this paper
• When Is Self-Disclosure Optimal? Incentives and Governance of AI-Generated Content

  2026cites this paper
• Private social media accounts as a productive resistance tactic: a qualitative study from China

  2026cites this paper
• Does Algorithmic Uncertainty Sway Human Experts? Evidence from a Field Experiment in Selective College Admissions

  2026influential citation
• Drug demand forecasting for hospital pharmacies using temporal hierarchies

  2026cites this paper
• The Human Factor in Intelligent Banking: Merging Behavioral Finance with Artificial Intelligence

  2026cites this paper
• ARTIFICIAL INTELLIGENCE IN TAX ENFORCEMENT: THE ROLE OF PERCEIVED AI CAPABILITY IN SHAPING TAX EVASION INTENTION

  2026cites this paper
• Human-Algorithm Collaboration in Gig Work: The Role of Experience, Skill Level, and Task Complexity

  2026cites this paper
• Educator use of algorithmic advice in decision making: Results from a virtual course recommendation simulation

  2026cites this paper
• A Structural Equation Model of Car Insurance Customers’ Willingness to use Chatbots

  2026cites this paper
• When algorithmic managers fail to fulfill their promises: The role of anthropomorphism in shaping justice perceptions.

  2026cites this paper
• Using more-than-human approaches to study the politics of AI in the automating of decision making in education

  2026cites this paper
• Theory and theory development: Guidelines for establishing theoretical gaps, foundations, contributions, and implications

  2026cites this paper
• The literacy paradox: How AI literacy amplifies biases in evaluating AI-generated news articles

  2026cites this paper
• Product recommendation source, persuasive messages and media richness in social commerce

  2026cites this paper
• Can AI make us less green? Insights from four experiments on digital speed, time perception, and sustainable consumption

  2026cites this paper
• Seeing opportunities from threats: How human employees respond to robot service failures from a social comparison perspective

  2026cites this paper
• Chatbot or humanaut? How the source of advice impacts prosocial behavior

  2026cites this paper
• Behavioral science & gun violence

  2026cites this paper
• The utility of artificial intelligence in visualization of pediatric gastrointestinal mucosa

  2026cites this paper
• AI Hallucinations in Tourism: How Errors Impact Consumer Trust and Recommendation Acceptance

  2026cites this paper
• Liability Sharing and Staffing in AI-Assisted Online Medical Consultation

  2026cites this paper
• Unraveling the influence mechanism: how context sensitivity affects consumers’ choice of artificial intelligence recommendations

  2026cites this paper
• A taxonomy of AI experiments

  2026cites this paper
• Moralization: How do people ascribe moral meaning to morally neutral things?

  2026cites this paper
• Mobile Media Decision-Making: Toward a New Theory

  2026cites this paper
• People choose to receive human empathy despite rating AI empathy higher

  2026cites this paper
• Belief Updating and Delegation in Multi-Task Human-AI Interaction: Evidence from Controlled Simulations

  2026cites this paper
• The Comfort of Automation: Why Cognitive Sovereignty Matters in AI-Driven Life Sciences

  2026cites this paper
• Trusting in the competence of humans and artificially intelligent agents varying in generosity

  2026cites this paper
• Reliability of LLMs as medical assistants for the general public: a randomized preregistered study

  2026cites this paper
• Budgeting Discretion: Theory and Evidence on Street-Level Decision-Making

  2026cites this paper
• Too concise to decide? The impact of AI-generated review summaries on tourist decision satisfaction

  2026cites this paper
• Human-AI Collaboration in Financial Strategy: A Study on Trust, Accuracy, and Organizational Agility

  2026cites this paper
• Catch Me If You Can: The Dynamic Nature of Bias in Machine Learning Applications

  2026cites this paper
• Collaborative Robotics, Mobile Platforms, and Total Laboratory Automation in Clinical Diagnostics.

  2026cites this paper
• Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation

  2026cites this paper
• Against What Standard? Why AI Therapists Face Impossible Expectations

  2026cites this paper
• Who lets AI take over? Cross-national variation in willingness to delegate socially important roles to artificial intelligence

  2026cites this paper
• Holding AI Accountable Like Herding Cats: The Contingent Impact on the Legitimacy of Algorithmic Bureaucracy

  2026cites this paper
• Accuracy Standards for AI at Work vs. Personal Life: Evidence from an Online Survey

  2026cites this paper
• Implicit neural measures of trust in artificial intelligence

  2026cites this paper
• Algorithms have algorithm aversion

  2026cites this paper
• Boys Will Be Boys, But Robots Can Help Them: Gender, Algorithmic Compliance, and Portfolio Performance

  2026cites this paper
• Toward Humanistic Algorithmic Management: An Evolutionary Game Between Online Labor Platforms and Workers

  2026cites this paper
• Bridging the research–practice gap in construction contract management with NLP and LLMs

  2026cites this paper
• AI agents, agentic AI, and the future of sales

  2026cites this paper
• Towards trustworthy artificial intelligence for decision-making: A lifecycle perspective on knowledge- and data-driven artificial intelligence systems

  2026cites this paper
• Trust in Moral Machines: How automation, morality, and media framing drive cross-cultural adoption of autonomous vehicles

  2026cites this paper
• Does transparency matter when an AI system meets performance expectations? An experiment with an online dating site

  2026cites this paper
• The Trusted Partner for financial decision making: Romantic partner or AI?

  2026cites this paper
• Reconciling consumer intuition and machine: Algorithmic intuition conflict and the design of Consumer–AI collaboration

  2026cites this paper
• The AI Invisibility Effect: Understanding Human-AI Interaction When Users Don't Recognize Artificial Intelligence

  2026cites this paper
• Trust in artificial intelligence: an empirical investigation in the organic food market

  2026cites this paper
• Disagreement between human and AI evaluation of treatment plans

  2026cites this paper
• The Influence of Prior Perception, Attitude, and Immediate Knowledge of AI on Adolescents’ Preferences for High- and Low-Replaceable Jobs

  2026cites this paper
• Advancing credit mobility through stakeholder-informed AI design and adoption

  2026cites this paper
• Can AI mediation improve democratic deliberation?

  2026cites this paper
• Trusting machines with morality - delegating moral decisions to AI

  2026cites this paper
• Auditing Student-AI Collaboration: A Case Study of Online Graduate CS Students

  2026cites this paper
• The Effects of Generative AI on High-Skilled Work: Evidence from Three Field Experiments with Software Developers

  2026cites this paper
• Who is to blame? How order dispatch information shapes consumer responses to worker-caused service failures

  2026cites this paper
• Can artificial intelligence debunk health misinformation more effectively than humans? A three‐dimensional persuasion analysis

  2026cites this paper
• Transparency and Trust in Simple Algorithmic Hiring Procedures

  2026cites this paper
• Training and oversight of algorithms in social decision-making: Algorithms with prescribed selfish defaults breed selfish decisions

  2026cites this paper
• I’m learning and improving! The impact of chatbot learning evidence on customer tolerance of chatbot service failure

  2026cites this paper
• Do We Know What They Know We Know? Calibrating Student Trust in AI and Human Responses Through Mutual Theory of Mind

  2026cites this paper
• Design principles for text-to-image generative artificial intelligence creativity support tools for visual design

  2026cites this paper
• Normative Equivalence in Human-AI Cooperation: Behaviour, Not Identity, Drives Cooperation in Mixed-Agent Groups

  2026cites this paper
• When Life Gives You AI, Will You Turn It Into A Market for Lemons? Understanding How Information Asymmetries About AI System Capabilities Affect Market Outcomes and Adoption

  2026cites this paper
• Algorithm Perception When Using Threat Intelligence in Vulnerability Risk Assessment

  2026influential citation
• When capability hurts: Strategic adoption and disclosure of artificial intelligence in creator competition

  2026cites this paper
• How AI shapes return extrapolation in financial markets? From presence to interaction

  2026cites this paper
• Conceptual Models of Customer Interaction to Ensure Sustainable Growth in Sales and Service Indicators

  2026cites this paper
• Silence Speaks: The Contact–Withdrawal–Contact Cycle in Cross-Cultural Negotiations —A Gestalt Perspective on Respectful Distance

  2026cites this paper
• Shades of Uncertainty: How AI Uncertainty Visualizations Affect Trust in Alzheimer's Predictions

  2026cites this paper
• What’s wrong with AI art? Implications of generative AI on the value of creative media

  2026cites this paper
• Building trust in AI-driven venture capital decisions: A comparative study of SHAP and GPT explanations

  2026cites this paper
• Algorithm aversion among workers in on-demand platforms: an exploration in the context of ride-hailing

  2026cites this paper
• Exploring Users’ Dissatisfaction with Video Streaming Service Content Recommendation Algorithms and Their Coping Behaviors

  2026cites this paper
• Investigating Writing Professionals'Relationships with Generative AI: How Combined Perceptions of Rivalry and Collaboration Shape Work Practices and Outcomes

  2026cites this paper
• Wenn Maschinen Wissen verstehen und Menschen umdenken müssen

  2026cites this paper