11 / 27
Page 37
Notes:
allied
academies
October 22-23, 2018 | Frankfurt, Germany
International Conference on
Robo t i c s a n d A u t oma t i o n
B iomater ial s and Nanomater ial s
Joint Event
&
Journal of Biomedical Research | Volume 29
Increasing user acceptance by augmented robot intelligence: The lesson we got from the semantics of
human communication
Eleni Efthimiou
and
Stavroula-Evita Fotinea
Institute of language and speech processing, Greece
R
esearch on assistive robots has received special focus within
the domain of robotics and is continuously gaining ground,
also boosted by demographic data and related AAL supportive
policies worldwide. Having in mind devices which need to
address real user needs and be capable of interacting with users
in some sort of “human” like manner, it has become mandatory
to find robust ways for augmenting robot intelligence in order
to enable devices overcome basic interaction shortages which
are easily spotted during validation by end user populations.
One predominant parameter for user acceptance is proven to
be satisfaction of the human need for communication with an
“intelligent” companion or assistant, if a device has to gain user
trust and be systematically used within a specific mid- to long-
term time frame. In this context, we exploit the paradigm of
exposure of assistive devices in real use conditions, to discuss
the degree of user acceptance and the need to augment robot
intelligence in the context of multimodal HRI. Focus is placed
on those NLP tools and resources which may increase the span
of human-robot communication by engaging standard NLP
approaches in combination with signals of human embodied
expression which can lead to enhanced performance of robotic
devices when they interact with humans
.
e:
Eleni_e@ilsp.grRobotics & Biomaterials 2018, Volume 29
DOI: 10.4066/biomedicalresearch-C6-017