Abstract
Conversational AI is disrupting the way information is accessed. However, there is still a lack of conversational technologies leveraging the Web. This paper introduces an approach to support the notion of Conversational Web Browsing. It illustrates design patterns for navigating websites through conversation and shows how such patterns are sustained by a Web architecture that integrates NLP technologies.
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Acknowledgments
We are grateful to the associations UICI, ADV, Real Eyes Sport for their help in the user research. This paper is dedicated to Prof. Florian Daniel, who suddenly passed away in April 2020. He first had identified the value of this research.
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Baez, M. et al. (2022). Supporting Natural Language Interaction with the Web. In: Di Noia, T., Ko, IY., Schedl, M., Ardito, C. (eds) Web Engineering. ICWE 2022. Lecture Notes in Computer Science, vol 13362. Springer, Cham. https://doi.org/10.1007/978-3-031-09917-5_26
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DOI: https://doi.org/10.1007/978-3-031-09917-5_26
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