Conference Paper/Proceeding/Abstract 470 views 262 downloads
CUI@IUI: Theoretical and Methodological Challenges in Intelligent Conversational User Interface Interactions
Philip R Doyle, Daniel John Rough, Justin Edwards, Benjamin R. Cowan, Leigh Clark , Martin Porcheron , Stephan Schlögl, María Inés Torres, Cosmin Munteanu, Christine Murad, Jaisie Sin, Minha Lee, Matthew Peter Aylett, Heloisa Candello
26th International Conference on Intelligent User Interfaces, Pages: 12 - 14
Swansea University Authors: Leigh Clark , Martin Porcheron
PDF | Accepted ManuscriptDownload (345.21KB)
DOI (Published version): 10.1145/3397482.3450706
This workshop aims to bring together the Intelligent User Inter- face (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 technolog...
|Published in:||26th International Conference on Intelligent User Interfaces|
New York, NY, USA
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This workshop aims to bring together the Intelligent User Inter- face (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 method- ological approaches for CUIs, and how these can be used with recent engineering advances. These include assessing the impact of inter- face 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).
Faculty of Science and Engineering