A Multimodal In-Car Dialogue System That Tracks The Driver's Attention

Spyros Kousidis, Casey Kennington, Timo Baumann, Hendrik Buschmeier, Stefan Kopp, David Schlangen

Research output: Chapter in Book/Report/Conference proceedingChapter

19 Scopus citations

Abstract

When a passenger speaks to a driver, he or she is co-located with the driver, is generally aware of the situation, and can stop speaking to allow the driver to focus on the driving task. In-car dialogue systems ignore these important aspects, making them more distracting than even cell-phone conversations. We developed and tested a "situationally-aware" dialogue system that can interrupt its speech when a situation which requires more attention from the driver is detected, and can resume when driving conditions return to normal. Furthermore, our system allows driver-controlled resumption of interrupted speech via verbal or visual cues (head nods). Over two experiments, we found that the situationally-aware spoken dialogue system improves driving performance and attention to the speech content, while driver-controlled speech resumption does not hinder performance in either of these two tasks.
Original languageAmerican English
Title of host publicationICMI '14: Proceedings of the 16th International Conference on Multimodal Interaction
DOIs
StatePublished - 2014
Externally publishedYes

Keywords

  • in-car dialogue
  • incremental dialogue
  • multimodal
  • speech output generation
  • spoken dialogue systems

EGS Disciplines

  • Computer Sciences

Fingerprint

Dive into the research topics of 'A Multimodal In-Car Dialogue System That Tracks The Driver's Attention'. Together they form a unique fingerprint.

Cite this