AI as Teammate or Tool? A Review of Human-AI Interaction in Decision Support
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Abstract (arXiv)
The integration of Artificial Intelligence (AI) necessitates determining whether systems function as tools or collaborative teammates. In this study, by synthesizing Human-AI Interaction (HAI) literature, we analyze this distinction across four dimensions: interaction design, trust calibration, collaborative frameworks and healthcare applications. Our analysis reveals that static interfaces and miscalibrated trust limit AI efficacy. Performance hinges on aligning transparency with cognitive workflows, yet a fluency trap often inflates trust without improving decision-making. Consequently, an overemphasis on explainability leaves systems largely passive. Our findings show that current AI systems remain largely passive due to an overreliance on explainability-centric designs and that transitioning AI to an active teammate requires adaptive, context-aware interactions that support shared mental models and the dynamic negotiation of authority between humans and AI.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 11 of its 27 references that are in the map. First posted on arXiv 26 Jan 2026.
Builds on
11 of 27 references.
References · 11
- 2022Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Makingcited by 33
- 2023A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspectivecited by 33
- 2024"Are You Really Sure?" Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Makingcited by 26
- 2025Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistantcited by 26
- 2023Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Makingcited by 25
- 2024A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teamscited by 12
- 2024Are We Asking the Right Questions?: Designing for Community Stakeholders' Interactions with AI in Policingcited by 10
- 2025Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Makingcited by 4
- 2025The Impact and Feasibility of Self-Confidence Shaping for AI-Assisted Decision-Makingcited by 2
- 2025Revisiting Trust in the Era of Generative AI: Factorial Structure and Latent Profilescited by 2
- 2025Human-AI Collaboration and Explainability for 2D/3D Registration Quality Assurancecited by 1
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Citing papers per year: 2026: 1.
1 paper.