Conversational interfaces have emerged as a new way to interact with AI assistants on smartphones, smart speakers, and other devices. However, questions have been raised about the usability of these systems and whether the technologies are sufficiently mature. There are two main approaches to the development of conversational systems: the traditional approach in which systems are designed according to best practice guidelines and the behaviours of the systems and based on handcrafted rules; and the new paradigm of conversational AI in which systems are trained from data using various machine learning techniques. The pros and cons of each approach are highlighted. The presentation concludes with a recommendation that in addition to focusing on technical issues it is also important to consider issues relating to user experience by eliciting user requirements in a process of co-creation and conducting detailed studies of how users actually engage with conversational systems in everyday situations.
Speaker: Michael McTear

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