Perspective Chapter: Social Awareness in HRI
Marcos Ribeiro Pereira Barretto,
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Vera Pereira-Barretto
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IntechOpen eBooks,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 10, 2025
Increasingly,
robots
are
becoming
part
of
daily
life:
devices
such
as
vacuum
cleaners
or
self-driving
cars
examples
interacting
with
humans,
which
necessitates
an
understanding
their
social
roles.
This
chapter
explores
the
general
requirements
for
human-robot
interaction
(HRI)
in
cases
where
directly
engage
proposing
that
they
should
be
conceptualized
robots.
We
identify
core
components
fostering
awareness
robots:
morphology,
dialog,
effective
communication,
navigation,
individuality,
personality,
privacy,
and
ethics.
While
some
these
currently
considered
robot
design,
often
addressed
without
adequately
accounting
environment
will
operate.
Beyond
components,
it
is
essential
to
evaluate
a
robot’s
functionality
by
taking
its
role
into
account.
Doing
so
necessitate
incorporation
additional
sensory
systems
establishment
behavioral
rules
align
intended
context.
Language: Английский
Socially Assistive Robot Promote Sex Education for Middle School Students: Teachers’ Attitudes and Students Learning Outcome and Attitudes After Human vs Robot Lecture
Anna-Maria Velentza,
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Zoi Kagkelidou,
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Efthymia Kefalouka
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et al.
Lecture notes in computer science,
Journal Year:
2025,
Volume and Issue:
unknown, P. 393 - 408
Published: Jan. 1, 2025
Language: Английский
Investigating Service Robot Acceptance Factors: The Role of Emotional Design, Communication Style, and Gender Groups
Gang Ren,
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Xuesong Wu,
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Zhihuang Huang
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et al.
Information,
Journal Year:
2025,
Volume and Issue:
16(6), P. 463 - 463
Published: May 30, 2025
Service
robots
(SRs)
are
increasingly
deployed
in
commercial
settings,
yet
the
factors
influencing
their
acceptance,
particularly
emotional
design
elements,
remain
understudied.
This
research
investigates
SR
acceptance
by
integrating
technology
model,
Computers
Are
Social
Actors
(CASA)
framework,
Kansei
engineering
(KE),
and
social
presence
theory
(SPT)
to
examine
how
elements
influence
user
responses
SRs.
Using
structural
equation
modeling
of
survey
data
from
318
shoppers
hotel
guests
China,
we
tested
relationships
between
CASA
attributes,
perceptions,
presence,
usage
intention.
The
results
revealed
that
communication
style
produced
strongest
effects
across
all
dimensions,
with
cuteness
coolness
directly
intention,
while
warmth
novelty
operate
through
mediation.
Multi-group
analysis
identified
significant
gender
differences
response
patterns:
male
users
prioritized
communication-driven
perceptions
female
responded
more
strongly
attributes.
These
findings
extend
our
understanding
service
robot
adoption,
highlighting
critical
roles
design,
style,
differences,
suggesting
differentiated
approaches
for
diverse
segments.
Language: Английский