Under pressure
How time constraints, task complexity, and AI reliability shape human-AI interaction
Dados Bibliográficos
| ID | 21453073 |
|---|---|
| Autores | Lukas Hermanns (0009-0004-4682-6884, Technical University Berlin, autor correspondente), Timm Teubner (0000-0002-5927-3770, Technical University Berlin) |
| Ano | 2026 |
| Volume | 45 |
| Fascículo | 11 |
| Páginas | 2597-2621 |
| Data de publicação | 2026-07-03 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Behaviour and Information Technology (JOURNAL) |
| Identificadores do periódico | ISSN: 0144-929X • E-ISSN: 1362-3001 |
| Editora | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/0144929x.2025.2587732 |
| OpenAlex | W4417227293 |
| Idioma | EN |
| Referências citadas | 71 |
This study investigates the impact of time pressure on human-AI collaboration in knowledge work environments. Drawing on dual-processing frameworks, specifically the heuristic-systematic model, we conducted an online experiment (n = 228) in which participants evaluated AI-generated responses across a series of tasks varying in complexity and correctness of AI responses. Participants subjected to a time-pressured treatment were compared to a control group with unlimited evaluation time. Our findings reveal that time pressure shifts cognitive processing from a systematic to a heuristic mode as expected, leading to diminished performance due to a reduced capacity to discriminate between correct and faulty AI responses. However, while both increased task complexity and AI advice faultiness independently impair human-AI-team performance, their interaction with time pressure suggests a more nuanced effect than predicted by traditional models. The results contribute to a refined understanding of cognitive dynamics in human-AI teaming and offer practical insights for designing AI systems and work environments that support effective decision-making under pressure
Component (thermodynamics) · Key (lock) · Matching (statistics) · Reliability (semiconductor) · Task (project management) · Ethics and Social Impacts of AI · Explainable Artificial Intelligence (XAI · Human-Automation Interaction and Safety
The Adaptive Decision Maker
Decision making under stress
Data quality in online human-subjects research
Task complexity
What can machine learning do? Workforce implications
Navigating the Jagged Technological Frontier
Meta-Reasoning
Resource-rational analysis
A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction
Complacency and Bias in Human Use of Automation
Machine behaviour
Dual-Process Theories of Higher Cognition
Artificial intelligence and innovation management
Individual Risk Attitudes
Zombies in the Loop? Humans Trust Untrustworthy AI-Advisors for Ethical Decisions
Time Pressure Heuristics Can Improve Performance Due to Increased Consistency
The transformative potential of artificial intelligence
Beyond the Turk
Metacognition and cognitive monitoring
Conditions for intuitive expertise
A Behavioral Model of Rational Choice
Central and peripheral routes to persuasion
Fear, anger, and risk
Heuristic versus systematic information processing and the use of source versus message cues in persuasion
Heuristic Decision Making
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |