APA
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Doyle, P. R., Rough, D., Edwards, J., Cowan, B. R., Clark, L., Porcheron, M., … Candello, H. (2021). CUI@IUI: Theoretical and Methodological Challenges in Intelligent Conversational User Interface Interactions. IUI Companion.
Chicago/Turabian
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Doyle, Philip R., D. Rough, Justin Edwards, Benjamin R. Cowan, L. Clark, Martin Porcheron, Stephan Schlögl, et al. “CUI@IUI: Theoretical and Methodological Challenges in Intelligent Conversational User Interface Interactions.” IUI Companion (2021).
MLA
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Doyle, Philip R., et al. “CUI@IUI: Theoretical and Methodological Challenges in Intelligent Conversational User Interface Interactions.” IUI Companion, 2021.
BibTeX Click to copy
@article{philip2021a,
title = {CUI@IUI: Theoretical and Methodological Challenges in Intelligent Conversational User Interface Interactions},
year = {2021},
journal = {IUI Companion},
author = {Doyle, Philip R. and Rough, D. and Edwards, Justin and Cowan, Benjamin R. and Clark, L. and Porcheron, Martin and Schlögl, Stephan and Torres, M. I. and Munteanu, Cosmin and Murad, Christine and Sin, Jaisie and Lee, Minha and Aylett, M. and Candello, Heloisa}
}
This workshop aims to bring together the Intelligent User Interface (IUI) and Conversational User Interface (CUI) communities to understand the theoretical and methodological challenges in designing, deploying and evaluating CUIs. CUIs have continued to prosper with the increased use and technological developments in both text-based chatbots and speech-based systems. However, challenges remain in creating established theoretical and methodological approaches for CUIs, and how these can be used with recent engineering advances. These include assessing the impact of interface design on user behaviours and perceptions, developing design guidelines, understanding the role of personalisation and issues of ethics and privacy. Our half-day multidisciplinary workshop brings together researchers and practitioners from the IUI and CUI communities in academia and industry. We aim to (1) identify and map out key focus areas and research challenges to address these critical theoretical and methodological gaps and (2) foster strong relationships between disciplines within and related to Artificial Intelligence (AI) and Human-Computer Interaction (HCI).