Name
Abstract | ||
|---|---|---|
Automotive technology rapidly advances with increasing connectivity and automation. These advancements aim to assist safe driving and improve user travel experience. Before the realization of a full automation, in-vehicle dialog systems may reduce the driver distraction from many services available through connectivity. Even when a full automation is realized, in-vehicle dialog systems still play ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/MSP.2016.2599201 | IEEE Signal Processing Magazine |
Keywords | Field | DocType |
Intelligent vehicles,Smart devices,Speech recognition,Navigation,Data collection,Sensors,Automotive engineering,Natural languages,Vehicle safety | Dialog box,Natural language generation,Application lifecycle management,Use case,Multidisciplinary approach,Computer security,Computer science,Automation,Theoretical computer science,Human–computer interaction,Spoken language,Automotive industry | Journal |
Volume | Issue | ISSN |
33 | 6 | 1053-5888 |
Citations | PageRank | References |
10 | 0.53 | 16 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fuliang Weng | 1 | 14 | 1.71 |
| Pongtep Angkititrakul | 2 | 179 | 15.47 |
| Elizabeth Shriberg | 3 | 3057 | 325.64 |
| Larry P. Heck | 4 | 1096 | 100.58 |
| Stanley Peters | 5 | 129 | 15.71 |
| John H. L. Hansen | 6 | 3215 | 365.75 |