Cover Image

When not to help: planning for lasting human-AI collaboration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Steyvers, Mark, Mayer, Lukas
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Accuracy: How AI Metacognitive Sensitivity improves AI-assisted Decision Making
by: Li, ZhaoBin, et al.
Published: (2025)

Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals
by: Li, ZhaoBin, et al.
Published: (2026)

Explainable AI improves task performance in human-AI collaboration
by: Senoner, Julian, et al.
Published: (2024)

Human-AI Collaboration: Trade-offs Between Performance and Preferences
by: Mayer, Lukas William, et al.
Published: (2025)

Metacognition and Uncertainty Communication in Humans and Large Language Models
by: Steyvers, Mark, et al.
Published: (2025)

Collaborative human-AI trust (CHAI-T): A process framework for active management of trust in human-AI collaboration
by: McGrath, Melanie J., et al.
Published: (2024)

Can dialogues with AI systems help humans better discern visual misinformation?
by: Rani, Anku, et al.
Published: (2025)

The Impact of AI Usage and Informativeness on Skill Development in Logical Reasoning
by: Wu, Shang, et al.
Published: (2026)

What Large Language Models Know and What People Think They Know
by: Steyvers, Mark, et al.
Published: (2024)

What is the role of human decisions in a world of artificial intelligence: an economic evaluation of human-AI collaboration in diabetic retinopathy screening
by: Wang, Yueye, et al.
Published: (2025)

Human-AI Synergy Supports Collective Creative Search
by: Li, Chenyi, et al.
Published: (2026)

Can theory-driven learning analytics dashboard enhance human-AI collaboration in writing learning? Insights from an empirical experiment
by: Chen, Angxuan, et al.
Published: (2025)

Strategic Shaping of Human Prosociality: A Latent-State POMDP Framework
by: Zahedi, Zahra, et al.
Published: (2026)

Can Generative AI help people navigate Radical Moral Disagreements? The CONSIDER prototype
by: Hohnen-Ford, William, et al.
Published: (2026)

Toward a Unified Framework for Collaborative Design of Human-AI Interaction
by: Bhatt, Ankur, et al.
Published: (2026)

Fostering human learning is crucial for boosting human-AI synergy
by: Berger, Julian, et al.
Published: (2025)

When Peers Outperform AI (and When They Don't): Interaction Quality Over Modality
by: Morris, Caitlin, et al.
Published: (2026)

Constructing AI ethics narratives based on real-world data: Human-AI collaboration in data-driven visual storytelling
by: Wei, Mengyi, et al.
Published: (2025)

When and How AI Should Assist Brainstorming for AI Impact Assessment
by: Govers, Jarod, et al.
Published: (2026)

Beyond AI advice -- independent aggregation boosts human-AI accuracy
by: Berger, Julian, et al.
Published: (2026)

When combinations of humans and AI are useful: A systematic review and meta-analysis
by: Vaccaro, Michelle, et al.
Published: (2024)

Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions
by: Simkute, Auste, et al.
Published: (2024)

How Generative AI supports human in conceptual design
by: Chen, Liuging, et al.
Published: (2025)

GOLF: Goal-Oriented Long-term liFe tasks supported by human-AI collaboration
by: Wang, Ben
Published: (2024)

Proactive AI Adoption can be Threatening: When Help Backfires
by: Harari, Dana, et al.
Published: (2025)

When Should Teachers Control AI Generation for Mathematics Visuals?
by: Li, Zhengxu, et al.
Published: (2026)

Human-AI collaboration is not very collaborative yet: A taxonomy of interaction patterns in AI-assisted decision making from a systematic review
by: Gomez, Catalina, et al.
Published: (2023)

Bidirectional human-AI collaboration in brain tumour assessments improves both expert human and AI agent performance
by: Ruffle, James K, et al.
Published: (2025)

Infrastructuring Contestability: A Framework for Community-Defined AI Value Pluralism
by: Mayer, Andreas
Published: (2025)

When Thinking Pays Off: Incentive Alignment for Human-AI Collaboration
by: Holstein, Joshua, et al.
Published: (2025)

When Less is More: A Story of Failing Bayesian Optimization Due to Additional Expert Knowledge
by: Weichert, Dorina, et al.
Published: (2025)

Human-AI collaboration or obedient and often clueless AI in instruct, serve, repeat dynamics?
by: Saqr, Mohammed, et al.
Published: (2025)

When Humans Don't Feel Like an Option: Contextual Factors That Shape When Older Adults Turn to Conversational AI for Emotional Support
by: Shi, Mengqi, et al.
Published: (2026)

Evaluating Generative AI in the Lab: Methodological Challenges and Guidelines
by: Park, Hyerim, et al.
Published: (2026)

Towards a criteria-based approach to selecting human-AI interaction mode
by: Irons, Jessica, et al.
Published: (2024)

Boosting metacognition in entangled human-AI interaction to navigate cognitive-behavioral drift
by: Lopez-Lopez, Ezequiel, et al.
Published: (2026)

Does visualization help AI understand data?
by: Li, Victoria R., et al.
Published: (2025)

Towards a collaborative digital platform for railway infrastructure projects
by: Jehel, Pierre, et al.
Published: (2025)

Reading.help: Supporting EFL Readers with Proactive and On-Demand Explanation of English Grammar and Semantics
by: Chung, Sunghyo, et al.
Published: (2025)

Minimum Viable Ethics: From Institutionalizing Industry AI Governance to Product Impact
by: Ahlawat, Archana, et al.
Published: (2024)