AI as Teammate or Tool? A Review of Human-AI Interaction in Decision Support
Most. Sharmin Sultana Samu, Nafisa Khan, Kazi Toufique Elahi, Tasnuva Binte Rahman, Md. Rakibul Islam, Farig Sadeque

TL;DR
This paper reviews how human-AI interaction design influences AI's role as a tool or teammate, emphasizing the need for adaptive, context-aware systems to improve decision support in healthcare and beyond.
Contribution
It synthesizes HAI literature to identify key dimensions affecting AI's role, highlighting the importance of adaptive interaction design for effective collaboration.
Findings
Static interfaces limit AI effectiveness.
Miscalibrated trust reduces decision quality.
Passive AI systems dominate due to explainability focus.
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsExplainable Artificial Intelligence (XAI) · Artificial Intelligence in Healthcare and Education · Ethics and Social Impacts of AI
