Predicting Interaction Quality Aspects Using Level-Based Scores for Conversational Agents

Author:

Reimann Merle M.1ORCID,Oertel Catharine2ORCID,Kunneman Florian A.1ORCID,Hindriks Koen V.1ORCID

Affiliation:

1. Vrije Universiteit Amsterdam, Amsterdam, North Holland, Netherlands

2. Delft University of Technology Delft, South Holland, Netherlands

Funder

Hybrid Intelligence Centre

Publisher

ACM

Reference28 articles.

1. Daniel Adiwardana Minh-Thang Luong David R So Jamie Hall Noah Fiedel Romal Thoppilan Zi Yang Apoorv Kulshreshtha Gaurav Nemade Yifeng Lu et al. 2020. Towards a human-like open-domain chatbot. arXiv preprint arXiv:2001.09977 (2020).

2. I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents

3. Bilgin Avenoğlu, Vincent J Koeman, and Koen V Hindriks. 2022. A cloud-based middleware for multi-modal interaction services and applications. Journal of Ambient Intelligence and Smart Environments Preprint (2022), 1--27.

4. Jörg Bergmann and Thomas Luckmann. 1995. Reconstructive genres of everyday communication. Aspects of oral communication 289 (1995), 304.

5. Tom Bocklisch, Joey Faulkner, Nick Pawlowski, and Alan Nichol. 2017. Rasa: Open source language understanding and dialogue management. arXiv preprint arXiv:1712.05181 (2017).

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