Book Review: Spoken Dialogue Technology: Toward the Conversational User Interface, by Michael F. McTear
By Johannes Pittermann. International Conference on Computational Logic, 2002
611 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/d4624a2ad439ec464abea6e611183562414ce84f
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In Artificial Intelligence
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Citations in the corpus
- An overview of the features of chatbots in mental health: A scoping review (2019, methodology): “chatbots cannot usually control the dialogue because their inputs are restricted to predefined words and phrases [28].”
- Conversational agents in healthcare: a systematic review (2018, background): “8,9 Given the development of increasingly powerful and connected devices, and growing access to contextual information (such as from sensors), smartphone conversational agents are now widely used by consumers for daily tasks like retrieving information and managing calendars.”
- The Personalization of Conversational Agents in Health Care: Systematic Review (2019, background): “feature computer-generated visual virtual characters capable of both verbal and nonverbal communication, and commonly available smart conversational interfaces such as Apple’s Siri, Google’s Google Assistant, Samsung’s Bixby, and Microsoft’s Cortana [1,33,34].”
- Neural Approaches to Conversational AI (2018, neutral): “well, it can be challenging to solve the “credit assignment” problem, namely, to identify which component in the system causes undesired system response and needs to be improved. Indeed, as argued by McTear (2002), “[t]he key to a successful dialogue system is the integration of these components int”
- End-to-end Audio Visual Scene-aware Dialog Using Multimodal Attention-based Video Features (2018, background): “ dialog technologies have been applied in real-world human-machine interfaces including smart phone digital assistants, car navigation systems, voice-controlled smart speakers, and humanfacing robots [1, 2, 3]. Generally, a dialog system consists of a pipeline of data processing modules, including a”
- A review of evaluation techniques for social dialogue systems (2017, background): “Traditional dialogue systems [8, 10] tend to be task-orientated for a limited domain and evaluation methods of such systems have been much researched (see [1] for an overview).”
- Learning to Mediate Perceptual Differences in Situated Human-Robot Dialogue (2015, background): “Unlike traditional spoken dialogue systems (McTear 2002) and conversational interfaces (Johnston et al. 2002; Chai et al. 2004), one signifi-cant challenge in situated human-robot dialogue is that the robot needs to perceive and make sense of the shared environment simultaneously during conversation.”
- Voice Interfaces in Everyday Life (2018, background): “For example, early on McTear defined spoken dialogue systems as “computer systems with which humans interact on a turn-by-turn basis” [19].”