The Conversational Interface: Talking to Smart Devices
By M. McTear, Z. Callejas, D. Griol. 2016
363 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/47776fff97acfb8c5bec34fe2ba5519a19b82807
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Lorainne Tudor Car
- Alexander Maedche
- L. Clark
- A. Kocaballi
- D. Dhinagaran
- B. M. Kyaw
- Shlomo Berkovsky
- Stefan Morana
Citations in the corpus
- Conversational Agents in Health Care: Scoping Review and Conceptual Analysis (2020, background): “These first examples of conversational agents, chatterbots (as they were referred to then), in health care were valuable in demonstrating that virtual agents have the potential to mimic human-human conversation and successfully pass the Turing Test, a test of a machine’s ability to replicate human i”
- The Personalization of Conversational Agents in Health Care: Systematic Review (2019, background): “The rising popularity of conversational technologies has been facilitated by a renaissance in Artificial Intelligence, the development of powerful processors supporting deep learning algorithms, and technological advancements, making a large amount of computationally accessible knowledge available [”
- What Makes a Good Conversation?: Challenges in Designing Truly Conversational Agents (2019, background): “seen in human conversation [28]. The highly functional and utilitarian nature of IPA interaction has led to suggestions that ‘conversation’ is a poor description of the current interaction experience [37, 42]. This deficit has motivated a number of efforts to improve the conversational capabilities ”
- Towards Designing Cooperative and Social Conversational Agents for Customer Service (2017, methodology): “As a result, customers have stopped using CAs after an initial stage of experimentation (McTear et al. 2016) and have not considered them as a viable alternative to more traditional customer service channels (e.g., web, mail, or phone) (Oracle 2016).”
- Evaluating Natural Language Understanding Services for Conversational Question Answering Systems (2017, background): “…publications have discussed the usage of NLU services in different domains and for different purposes, e.g. question answering for localized search (McTear et al., 2016), form-driven dialogue systems (Stoyanchev et al., 2016), dialogue management (Schnelle-Walka et al., 2016), and the internet of…”
- Conversational agents in healthcare: a systematic review (2018, background): “1,8,9,12,13 Examples of conversational agents include (but are not limited to): chatbots, which have the ability to engage in “small talk” and casual conversation; embodied conversational agents, which involve a computer-generated character (eg avatar, virtual agent) simulating face-to-face…”