Name
Abstract | ||
|---|---|---|
Recent work on evaluation of spoken dialogue systems indicates that better algorithms are needed for the presentation of complex in- formation in speech. Current dialogue sys- tems often rely on presenting sets of options and their attributes sequentially. This places a large memory burden on users, who have to remember complex trade-offs between mul- tiple options and their attributes. To address these problems we build on previous work using multiattribute decision theory to devise speech-planning algorithms that present user- tailored summaries, comparisons and recom- mendations that allow users to focus on crit- ical differences between options and their at- tributes. We discuss the differences between speech and text planning that result from the particular demands of the speech situation. |
Year | Venue | Keywords |
|---|---|---|
2002 | INLG | decision theory |
Field | DocType | Citations |
Computer science,Decision theory,Artificial intelligence,Natural language processing | Conference | 13 |
PageRank | References | Authors |
1.78 | 7 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| mark walker | 1 | 13 | 1.78 |
| Steve Whittaker | 2 | 5285 | 665.26 |
| Amanda J. Stent | 3 | 1094 | 103.35 |
| preetam maloor | 4 | 13 | 1.78 |
| michael j g johnston | 5 | 447 | 59.76 |
| Gunaranjan Vasireddy | 6 | 143 | 9.13 |
| Johanna D. Moore | 7 | 2152 | 443.80 |