TY  - CHAP
AB  - It is known that the comprehension of spatial prepositions
involves the deployment of visual attention. For example, consider the
sentence “The salt is to the left of the stove”. Researchers [29, 30] have
theorized that people must shift their attention from the stove (the reference object, RO) to the salt (the located object, LO) in order to com-
prehend the sentence. Such a shift was also implicitly assumed in the
Attentional Vector Sum (AVS) model by [35], a cognitive model that
computes an acceptability rating for a spatial preposition given a display that contains an RO and an LO. However, recent empirical findings
showed that a shift from the RO to the LO is not necessary to understand
a spatial preposition ( [3], see also [15, 38]). In contrast, these findings
suggest that people perform a shift in the reverse direction (i.e., from
the LO to the RO). Thus, we propose the reversed AVS (rAVS) model,
a modified version of the AVS model in which attention shifts from the
LO to the RO. We assessed the AVS and the rAVS model on the data
from [35] using three model simulation methods. Our simulations show
that the rAVS model performs as well as the AVS model on these data
while it also integrates the recent empirical findings. Moreover, the rAVS
model achieves its good performance while being less flexible than the
AVS model. (This article is an updated and extended version of the paper [23] presented at the 8th International Conference on Agents and
Artificial Intelligence in Rome, Italy. The authors would like to thank
Holger Schultheis for helpful discussions about the additional model simulation.)
DO  - 10.1007/978-3-319-53354-4_16
KW  - Spatial language
KW  - Spatial prepositions
KW  - Cognitive modeling
KW  - Model flexibility
KW  - Visual attention
LA  - eng
PY  - 2017
SN  - 978-3-319-53353-7
SP  - 283-301
T3  - Agents and Artificial Intelligence. ICAART 2016
TI  - Modeling the Directionality of Attention During Spatial Language Comprehension
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-29085529
Y2  - 2024-11-21T21:09:22
ER  -