Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems 2018
DOI: 10.1145/3173574.3174042
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Cited by 45 publications
(3 citation statements)
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“…Building a modular task-oriented chatbot could be easy in the domains that have expert knowledge and a well-defined structure. For example, in an online shoe shopping chatbot [23], the shoes have limited features such as price, color, material, style and brand, which can easily be used to filter the shoes interactively. Also in the restaurant reservation, food ordering, and movie ticket booking domains, the users' goals are clear and the designer can easily design the logic to get the needed information (e.g., which restaurant / food / movie, when, and how many people) for task completion.…”
Section: Rule-based Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Building a modular task-oriented chatbot could be easy in the domains that have expert knowledge and a well-defined structure. For example, in an online shoe shopping chatbot [23], the shoes have limited features such as price, color, material, style and brand, which can easily be used to filter the shoes interactively. Also in the restaurant reservation, food ordering, and movie ticket booking domains, the users' goals are clear and the designer can easily design the logic to get the needed information (e.g., which restaurant / food / movie, when, and how many people) for task completion.…”
Section: Rule-based Methodsmentioning
confidence: 99%
“…With the advances in machine learning and the rapid development of social media over the past decade, service chatbots which are designed to provide 24/7, easy-to-access services to the users in specific domains, have been a trend recently [36]. They can either be task-oriented chatbots which get information from the user to help complete some structured tasks like scheduling meetings [12], online shopping [23] and restaurant reservations [34], or chatbots that accomplish unstructured tasks like customer care in social media [66,21] and answering human resource questions [30].…”
Section: Introductionmentioning
confidence: 99%
“…They are widely used to organize interaction with customers in e-commerce systems, payment systems, marketing, education, health care, social media, etc. [2][3][4]. The key task that such intelligent assistants solve is to provide "smart" answers that satisfy the user's requests.…”
Section: Introductionmentioning
confidence: 99%