Toward Conversational Human-Computer Interaction

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Towards Designing Cooperative and Social Conversational Agents for Customer Service (2017, background): “Only if CAs are able to understand a user’s message and extract her/his intent, no matter how the message is phrased (MR1), they can gain sufficient evidence to generate a response that makes a high-quality contribution to the ongoing conversation (Allen et al. 2001; Zadrozny et al. 2000).”
Neural Approaches to Conversational AI (2018, neutral): “ogue managers. A comprehensive survey is out of the scope of the this chapter. Interested readers are referred to some of the earlier examples (Cole, 1999; Larsson and Traum, 2000; Rich et al., 2001; Allen et al., 2001; Bos et al., 2003; Bohus and Rudnicky, 2009), as well as excellent surveys like M”
Chatbots and the new world of HCI (2017, background): “In fact, HCI researchers have studied these before, for example, in the context of multimodal systems, interactive voice-response systems, voice control in the context of accessibility, and conversational systems [6].”
A review of verbal and non-verbal human-robot interactive communication (2014, background): “cation of illocutionary speech acts into assertives, directives, commisives, expressives, and declarations. Computational models of speech acts have been proposed for use in human-computerinteraction [46]. In this light of speech acts, lets us start by extending upon point (p3) made in the previous ”