9,016 research outputs found
How does an infant acquire the ability of joint attention?: A Constructive Approach
This study argues how a human infant acquires
the ability of joint attention through
interactions with its caregiver from the viewpoint
of a constructive approach. This paper
presents a constructive model by which a
robot acquires a sensorimotor coordination for
joint attention based on visual attention and
learning with self-evaluation. Since visual attention
does not always correspond to joint attention,
the robot may have incorrect learning
situations for joint attention as well as correct
ones. However, the robot is expected to statistically
lose the data of the incorrect ones
as outliers through the learning, and consequently
acquires the appropriate sensorimotor
coordination for joint attention even if the
environment is not controlled nor the caregiver
provides any task evaluation. The experimental
results suggest that the proposed
model could explain the developmental mechanism
of the infant’s joint attention because
the learning process of the robot’s joint attention
can be regarded as equivalent to the
developmental process of the infant’s one
The color of smiling: computational synaesthesia of facial expressions
This note gives a preliminary account of the transcoding or rechanneling
problem between different stimuli as it is of interest for the natural
interaction or affective computing fields. By the consideration of a simple
example, namely the color response of an affective lamp to a sensed facial
expression, we frame the problem within an information- theoretic perspective.
A full justification in terms of the Information Bottleneck principle promotes
a latent affective space, hitherto surmised as an appealing and intuitive
solution, as a suitable mediator between the different stimuli.Comment: Submitted to: 18th International Conference on Image Analysis and
Processing (ICIAP 2015), 7-11 September 2015, Genova, Ital
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