% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Hartz:896737,
author = {Hartz, Arne and Guth, Björn and Jording, Mathis and
Vogeley, Kai and Schulte-Rüther, Martin},
title = {{T}emporal {B}ehavioral {P}arameters of {O}n-{G}oing {G}aze
{E}ncounters in a {V}irtual {E}nvironment},
journal = {Frontiers in psychology},
volume = {12},
issn = {1664-1078},
address = {Lausanne},
publisher = {Frontiers Research Foundation},
reportid = {FZJ-2021-03562},
pages = {673982},
year = {2021},
abstract = {To navigate the social world, humans heavily rely on gaze
for non-verbal communication as it conveys information in a
highly dynamic and complex, yet concise manner: For
instance, humans utilize gaze effortlessly to direct and
infer the attention of a possible interaction partner. Many
traditional paradigms in social gaze research though rely on
static ways of assessing gaze interaction, e.g., by using
images or prerecorded videos as stimulus material. Emerging
gaze contingent paradigms, in which algorithmically
controlled virtual characters can respond flexibly to the
gaze behavior of humans, provide high ecological validity.
Ideally, these are based on models of human behavior which
allow for precise, parameterized characterization of
behavior, and should include variable interactive settings
and different communicative states of the interacting
agents. The present study provides a complete definition and
empirical description of a behavioral parameter space of
human gaze behavior in extended gaze encounters. To this
end, we (i) modeled a shared 2D virtual environment on a
computer screen in which a human could interact via gaze
with an agent and simultaneously presented objects to create
instances of joint attention and (ii) determined
quantitatively the free model parameters (temporal and
probabilistic) of behavior within this environment to
provide a first complete, detailed description of the
behavioral parameter space governing joint attention. This
knowledge is essential to enable the modeling of interacting
agents with a high degree of ecological validity, be it for
cognitive studies or applications in human-robot
interaction.},
cin = {INM-3},
ddc = {150},
cid = {I:(DE-Juel1)INM-3-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525)},
pid = {G:(DE-HGF)POF4-5251},
typ = {PUB:(DE-HGF)16},
pubmed = {34421731},
UT = {WOS:000687058500001},
doi = {10.3389/fpsyg.2021.673982},
url = {https://juser.fz-juelich.de/record/896737},
}