Beyond Turing: Intelligent Agents Centered on the User
arXiv:1901.06613v213 citations
Originality Synthesis-oriented
AI Analysis
This addresses a conceptual gap in AI research for developers and theorists, but it is incremental as it builds on existing literature without introducing new methods or data.
The paper argues that research on intelligent agents should shift focus from the agent to the user, proposing approaches for creating and assessing user-centric systems.
Most research on intelligent agents centers on the agent and not on the user. We look at the origins of agent-centric research for slot-filling, gaming and chatbot agents. We then argue that it is important to concentrate more on the user. After reviewing relevant literature, some approaches for creating and assessing user-centric systems are proposed.