Title :
Forms2Dialog: Automatic dialog generation for Web tasks
Author :
Niraula, Nobal B. ; Stent, Amanda ; Hyuckchul Jung ; Di Fabbrizio, Giuseppe ; Dan Melamed, I. ; Rus, Vasile
Author_Institution :
Dept. of Comput. Sci., Univ. of Memphis, Memphis, TN, USA
Abstract :
Today, many common tasks (e.g. booking flights, ordering food) can be done by filling out web forms. Automatic processing of Web forms to support interactive speech input is useful for numerous reasons, including ease of use for mobile device users and accessibility for people with visual or print disabilities. In this paper, we propose an automated method to process web forms and convert them into dialog flows for spoken interaction. First we identify relevant information for each form element (including element type, label, values and help messages) and key relationships between form elements (including ordering and dependencies). We then generate two types of dialog flow for each Web form. Experimental results show that the method generates efficient and informative dialog flows for web tasks, a key step for building virtual assistants. An Android application has been realized as a use case of the generated dialog flows.
Keywords :
Android (operating system); Internet; handicapped aids; interactive systems; speech-based user interfaces; Android application; Forms2Dialog; Web form processing; Web tasks; automatic dialog generation; dialog flows; interactive speech input; mobile device users; print disabilities; spoken interaction; virtual assistants; visual disabilities; Accuracy; Browsers; Data mining; HTML; Labeling; Visualization; Web pages; Dialog Systems; Virtual Assistants; Web;
Conference_Titel :
Spoken Language Technology Workshop (SLT), 2014 IEEE
DOI :
10.1109/SLT.2014.7078643