Beyond Turing: Intelligent Agents Centered on the User
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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.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Jan 2019.
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Citing papers per year: 2022: 4.
4 papers.
- 2022What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluationcited by 18
- 2022Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challengescited by 13
- 2022Interactive Evaluation of Dialog Track at DSTC9cited by 9
- 2022Open-Domain Dialog Evaluation using Follow-Ups Likelihoodcited by 3
- 2022Open-Domain Dialog Evaluation using Follow-Ups Likelihood12 Sep 2022
- 2022Interactive Evaluation of Dialog Track at DSTC928 Jul 2022
- 2022What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation25 Mar 2022
- 2022Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges18 Mar 2022