Human-AI Interaction
The relationship between a person and an AI system: how people ask, interpret, trust and integrate model outputs into work and decisions.
Human-AI Interaction is not only tool use. It includes the broader context of goals, language, trust, errors, limits and responsibility around AI systems. In Prompted Psyche, the term helps describe what happens between a person and a model output.
Why it matters
- It shifts attention from the tool alone to the situation of use.
- It connects interface design with trust, interpretation and responsibility.
- It helps teams ask how AI changes work, decisions and communication.
- It makes room for psychological and social effects without assuming that the system has human intention.
What not to simplify
Human-AI Interaction is not just user interface design. It is also not proof that a system understands the user in a human way. The term should be used carefully across technical, organizational and psychological contexts.
Sources and context
- Amershi, S., Weld, D., Vorvoreanu, M., Fourney, A., Nushi, B., Collisson, P., Suh, J., Iqbal, S., Bennett, P. N., Inkpen, K., Teevan, J., Kikin-Gil, R., & Horvitz, E. (2019). Guidelines for human-AI interaction. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. https://doi.org/10.1145/3290605.3300233
- Shneiderman, B. (2020). Human-centered artificial intelligence: Reliable, safe & trustworthy. International Journal of Human-Computer Interaction, 36(6), 495-504. https://doi.org/10.1080/10447318.2020.1741118
- Stanford Institute for Human-Centered Artificial Intelligence. (n.d.). Research. Retrieved July 1, 2026, from https://hai.stanford.edu/research
© 2026 Feliks Mamczur / Prompted Psyche. All rights reserved. Short quotations are permitted only with attribution to the author, the title and a link to the source.