BibTeX

@article{lundholmfors-villing-2011-reducing-146576,
	title        = {Reducing cognitive load in in-vehicle dialogue system interaction},
	abstract     = {In-vehicle dialogue systems need to be able to
adapt to the cognitive load of the user, and,
when possible, reduce cognitive load. To accomplish this, we need to know how humans
act while driving and talking to a passenger,
and find out if there are dialogue strategies
that can be used to minimize cognitive load.
In this study, we have analyzed human-human
in-vehicle dialogues, focusing on pauses and
adjacency pairs. Our results show that when
the driver is experiencing high cognitive load,
the passenger’s median pause times increase.
We also found that, when switching to another
domain and/or topic, both driver and passenger try to avoid interrupting an adjacency pair.
This suggests that a dialogue system could
help lower the user’s cognitive load by increasing pause lengths within turns, and plan
system utterances in order to avoid switching
task within an adjacency pair.},
	journal      = {SemDial 2011: Proceedings of the 15th Workshop on the Semantics and Pragmatics of Dialogue},
	author       = {Lundholm Fors, Kristina and Villing, Jessica},
	year         = {2011},
	pages        = {55--62},
}