Abstract
Passive consumption of information is boring in most cases and even painful in some cases, especially when the information content is delivered by employing speech media. The user of a speech-based information delivery system, for example a text-to-speech system, usually cannot interrupt the ongoing information ow, inhibiting her/him to confirm some part of the content, or to pose an inquiry for further information exploration. We argue that a carefully designed spoken dialog system could remedy these undesirable situations, and further enable an enjoyable conversation with the users. The key technologies to realize such an attractive dialog system are: (1) pre-compilation of a dialog plan based on the analysis of a source content, and (2) the dynamic recognition of user's state of understanding and interests. This paper illustrates technical views to implement these functionalities, and discusses a dialog example to exemplify the technical merits of the proposed system.
Original language | English |
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Title of host publication | CHIIR 2016 - Proceedings of the 2016 ACM Conference on Human Information Interaction and Retrieval |
Publisher | Association for Computing Machinery, Inc |
Pages | 253-256 |
Number of pages | 4 |
ISBN (Electronic) | 9781450337519 |
DOIs | |
Publication status | Published - 2016 Mar 13 |
Event | ACM Conference on Human Information Interaction and Retrieval, CHIIR 2016 - Carrboro, United States Duration: 2016 Mar 13 → 2016 Mar 17 |
Other
Other | ACM Conference on Human Information Interaction and Retrieval, CHIIR 2016 |
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Country/Territory | United States |
City | Carrboro |
Period | 16/3/13 → 16/3/17 |
ASJC Scopus subject areas
- Human-Computer Interaction
- Information Systems