ArticleFrontiers in psychology2023
Human-AI teaming: leveraging transactive memory and speaking up for enhanced team effectiveness.
Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- From testbeds to high-stakes work: a review of Human-AI teaming domains and teaming factors.Frontiers in robotics and AI · 2026Pooled it
- Integrating Large Language Models Into Trauma Education for Medical Students: Randomized Controlled Pilot Trial.JMIR medical education · 2026Trial
- A scoping review of human-AI collaboration patterns and task divisions in healthcare applications.NPJ digital medicine · 2026Article
- From doubt to trust: how AI safety voice bridges the gap between employees and AI teammates through perceived capability and benevolence.Frontiers in psychology · 2026Article
- From human teams to hybrid intelligence teams: identifying, characterizing, and evaluating foundational quality attributes.Autonomous agents and multi-agent systems · 2026Article
- Transforming Pediatric Physiotherapy: The Role of ChatGPT in Therapy, Limitations, and Ethical Considerations.Cureus · 2025Review
- Impact of temporary nursing staff on communication patterns: an observation study during daily nurse huddles.BMJ open quality · 2025Observational
- AI Interventions to Alleviate Healthcare Shortages and Enhance Work Conditions in Critical Care: Qualitative Analysis.Journal of medical Internet research · 2025Article
- Article
- Understanding Employee Voice Behavior Through the Use of Digital Voice Channel in Long-Term Care: Protocol for an Embedded Multiple-Case Study.JMIR research protocols · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this prospective observational study, we investigate the role of transactive memory and speaking up in human-AI teams comprising 180 intensive care (ICU) physicians and nurses working with AI in a simulated clinical environment. Our findings indicate that interactions with AI agents differ significantly from human interactions, as accessing information from AI agents is positively linked to a team's ability to generate novel hypotheses and demonstrate speaking-up behavior, but only in higher-performing teams. Conversely, accessing information from human team members is negatively associated with these aspects, regardless of team performance. This study is a valuable contribution to the expanding field of research on human-AI teams and team science in general, as it emphasizes the necessity of incorporating AI agents as knowledge sources in a team's transactive memory system, as well as highlighting their role as catalysts for speaking up. Practical implications include suggestions for the design of future AI systems and human-AI team training in healthcare and beyond.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.