# Beyond Turing: Intelligent Agents Centered on the User

arXiv: https://arxiv.org/abs/1901.06613 · HTML: https://mlsanity.com/paper/1901.06613/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Jan 2019.

## Built on by (most cited first, 4 of 4)

- [What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation](https://mlsanity.com/paper/2203.13927/) (2022)
- [Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges](https://mlsanity.com/paper/2203.10012/) (2022)
- [Interactive Evaluation of Dialog Track at DSTC9](https://mlsanity.com/paper/2207.14403/) (2022)
- [Open-Domain Dialog Evaluation using Follow-Ups Likelihood](https://mlsanity.com/paper/2209.05185/) (2022)

## Abstract (arXiv)

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.