CUI@IUI: Theoretical and Methodological Challenges in Intelligent Conversational User Interface Interactions

Philip R. Doyle, D. Rough, Justin Edwards, Benjamin R. Cowan, L. Clark, Martin Porcheron, Stephan Schlögl, M. I. Torres, Cosmin Munteanu, Christine Murad, Jaisie Sin, Minha Lee, M. Aylett, Heloisa Candello
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引用次数: 4

Abstract

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).
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CUI@IUI:智能会话用户界面交互中的理论和方法挑战
本次研讨会旨在将智能用户界面(IUI)和会话用户界面(CUI)社区聚集在一起,以了解设计,部署和评估ui的理论和方法挑战。随着基于文本的聊天机器人和基于语音的系统的使用和技术发展的增加,gui继续蓬勃发展。然而,在为gui创建已建立的理论和方法方法以及如何将这些方法与最近的工程进展结合起来方面仍然存在挑战。其中包括评估界面设计对用户行为和感知的影响,制定设计指南,理解个性化的作用以及道德和隐私问题。我们为期半天的多学科研讨会汇集了学术界和工业界的IUI和CUI社区的研究人员和实践者。我们的目标是(1)确定和规划关键的重点领域和研究挑战,以解决这些关键的理论和方法差距;(2)在人工智能(AI)和人机交互(HCI)内部和相关学科之间建立牢固的关系。
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