Situationally Aware In-Car Information Presentation Using Incremental Speech Generation: Safer, and More Effective

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

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Holding non-co-located conversations while driving is dangerous (Horrey and Wickens, 2006; Strayer et al., 2006), much more so than conversations with physically present, “situated” interlocutors (Drews et al., 2004). In-car dialogue systems typically resemble non-co-located conversations more, and share their negative impact (Strayer et al., 2013). We implemented and tested a simple strategy for making in-car dialogue systems aware of the driving situation, by giving them the capability to interrupt themselves when a dangerous situation is detected, and resume when over. We show that this improves both driving performance and recall of system-presented information, compared to a non-adaptive strategy.
Original languageAmerican English
Title of host publicationProceedings of the EACL 2014 Workshop on Dialogue in Motion
DOIs
StatePublished - 2014
Externally publishedYes

EGS Disciplines

  • Computer Sciences

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