Proceedings of the ACM on Human-Computer Interaction,
Год журнала:
2025,
Номер
9(2), С. 1 - 23
Опубликована: Май 2, 2025
In
an
era
of
AI's
growing
capabilities
and
influences,
recent
advancements
are
reshaping
HCI
CSCW's
view
AI.
Playful
interactions
emerged
as
important
way
for
users
to
make
sense
the
ever-changing
AI
technologies,
yet
remained
underexamined.
We
target
this
gap
by
investigating
playful
exhibited
a
popular
technology,
ChatGPT.
Through
thematic
analysis
372
user-generated
posts
on
ChatGPT
subreddit,
we
found
that
more
than
half
(54%)
user
discourse
revolved
around
interactions.
The
further
allowed
us
construct
preliminary
framework
describe
these
interactions,
categorizing
them
into
six
types:
reflecting,
jesting,
imitating,
challenging,
tricking,
contriving;
each
included
sub-categories.
This
study
contributes
CSCW
identifying
diverse
ways
engage
in
with
It
examines
how
can
help
understand
agency,
shape
human-AI
relationships,
provide
insights
designing
systems.
Designing Interactive Systems Conference,
Год журнала:
2024,
Номер
9, С. 1566 - 1578
Опубликована: Июнь 29, 2024
Generative
artificial
intelligence
(GAI)
is
transforming
numerous
professions,
not
least
various
fields
intimately
relying
on
creativity,
such
as
design.
To
explore
GAI's
adoption
and
appropriation
in
design,
an
interview-based
study
probed
10
specialists
user
experience
industrial
with
varying
tenure
GAI
experience,
for
their
adoption/application
of
tools,
reasons
using
them,
problems
ownership
agency,
speculations
about
the
future
creative
work,
tools'
roles
design
sensemaking.
Insight
from
reflexive
thematic
analysis
revealed
wide
variation
attitudes
toward
tools
–
threat-oriented
negative
appraisals
to
identification
empowerment
opportunities
which
depended
sense
agency
perceived
control.
The
paper
examines
this
finding
light
Coping
Model
User
Adaptation
discusses
designers'
metacognitive
skills
possible
underpinnings
attitudes.
Avenues
further
research
are
identified
accordingly.
Advances
in
Generative
Artificial
Intelligence
(AI)
are
resulting
AI-generated
media
output
that
is
(nearly)
indistinguishable
from
human-created
content.
This
can
drastically
impact
users
and
the
sector,
especially
given
global
risks
of
misinformation.
While
currently
discussed
European
AI
Act
aims
at
addressing
these
through
Article
52's
transparency
obligations,
its
interpretation
implications
remain
unclear.
In
this
early
work,
we
adopt
a
participatory
approach
to
derive
key
questions
based
on
disclosure
obligations.
We
ran
two
workshops
with
researchers,
designers,
engineers
across
disciplines
(N=16),
where
participants
deconstructed
relevant
clauses
using
5W1H
framework.
contribute
set
149
clustered
into
five
themes
18
sub-themes.
believe
not
only
help
inform
future
legal
developments
interpretations
52,
but
also
provide
starting
point
for
Human-Computer
Interaction
research
(re-)examine
human-centered
lens.
Applied Sciences,
Год журнала:
2025,
Номер
15(2), С. 611 - 611
Опубликована: Янв. 10, 2025
To
cope
with
the
complexity,
digital
transformation
of
cyber-physical
and
socio-technology
systems
demands
utilization
heterogeneous
tailorable
development
environments
dynamic
configuring
ability
transparent
integration
independently
developed
dedicated
frameworks.
The
essential
design
principles
component-based
architecting
initial
prototype
hyper-framework
represent
this
research
target.
These
are
derived
from
broad
scope
analysis
projects,
methods,
tools
glued
to
proposed
virtual
twin
hyper-document.
critical
domain
influenced
formulation
five
hypotheses
that
frame
transformation,
as
second
goal
article.
Armed
a
meta-modeling
layer,
incremental
hybrid
architecture
instances
focuses
on
meta-models
their
transformations
into
functional,
interpretable
environments.
applicability
aspects
formulated
hypothesis
verified
throughout
architecture,
meta-configuration,
handling
information
resources
segments
version
evolution
prototype.
detailed
illustration
horizontal
vertical
interoperability
framework
is
illustrated
by
Life
Cycle
Modeling
component
creatively
integrates
System,
Software,
Operation
Engineering
hyper-framework.
capabilities
discussed
in
context
contemporary
ecosystem.
Specification
additional
frameworks,
compliance
specified
generative
mechanisms,
directing
further
refinements
Divergent
thinking
activities,
like
research
and
ideation,
are
key
drivers
of
innovation
in
UI/UX
design.
Existing
has
explored
AI's
role
automating
design
tasks,
but
leaves
a
critical
gap
understanding
how
AI
specifically
influences
divergent
thinking.
To
address
this,
we
conducted
interviews
with
19
professional
designers,
examining
their
use
perception
these
creative
activities.
We
found
that
this
context,
participants
valued
tools
offer
greater
control
over
facilitate
collaboration,
enhance
efficiency
to
liberate
creativity,
align
visual
habits.
Our
results
indicated
four
roles
plays
supporting
thinking:
aiding
research,
kick-starting
generating
alternatives,
facilitating
prototype
exploration.
Through
study,
provide
insights
into
the
evolving
less-investigated
area
design,
offering
recommendations
for
future
better
support
innovation.
Advances in Human-Computer Interaction,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
The
use
of
artificial
intelligence
(AI)
in
the
user
experience
(UX)
design
process
is
reshaping
practice
and
underlining
importance
understanding
how
AI
used
to
support
UX
process.
This
systematic
literature
review
has
identified
analyzed
83
empirical
studies
answer
question:
How
does
human–computer
interaction
research
address
use,
development,
perception
AI‐supported
tools?
Findings
illustrate
that
most
common
for
boost
efficiency
evaluative
activities
In
addition,
there
some
generative
tools
ideation
prototyping
or
simulate
users.
reviewed
underscores
issues
potential
overreliance
on
automation
a
technology‐first
approach
developing
without
involving
designers.
study
outlines
future
directions
AI‐enabled
creativity
work
while
preserving
human‐centric
values.
Proceedings of the ACM on Human-Computer Interaction,
Год журнала:
2024,
Номер
8(CHI PLAY), С. 1 - 28
Опубликована: Окт. 14, 2024
Character
design
in
games
involves
interdisciplinary
collaborations,
typically
between
designers
who
create
the
narrative
content,
and
illustrators
realize
vision.
However,
traditional
workflows
face
challenges
communication
due
to
differing
backgrounds
of
designers,
latter
with
limited
artistic
abilities.
To
overcome
these
challenges,
we
created
Sketchar,
a
Generative
AI
(GenAI)
tool
that
allows
prototype
game
characters
generate
images
based
on
conceptual
input,
providing
visual
outcomes
can
give
immediate
feedback
enhance
illustrators'
next
step
cycle.
We
conducted
mixed-method
study
evaluate
interaction
Sketchar.
showed
reference
generated
co-creating
Sketchar
fostered
refinement
details
be
incorporated
into
real-world
workflows.
Moreover,
without
found
workflow
more
expressive
worthwhile.
This
research
demonstrates
potential
GenAI
enhancing
collaboration
industry,
enabling
interact
beyond
their
own
expertise.
