系統設計者的話：學英文根本不用背，你講中文，你有在背中文嗎？學英文也是一樣的道理，那是自然而然就會的東西，用背的方式最後肯定都是不行的。 更多...

最好的學習就是有英文的父母，不斷的跟你說話、耐心的教導你，時間長了，你也就慢慢就融入其中了。

但是我們沒有英文父母怎麼辦？看影片學英文就學的起來嗎？學不起來。

我們從小到大，也看過了不少英文電影，至少也看過1、200部也跑不掉，但是為什麼看了這麼多的英文電影，英文還是很爛呢？

主要的原因是我們沒有從基礎性的強化學習。舉個例子，西方的幼兒出生時，他至少聽了各種大人講英文至少聽了2年，才慢慢開始說英文、與大人互動。

而且都是一字一句慢慢的說、慢慢的教、漸進式的、慢慢的、越來越習慣、越來越聽的懂、越來越會說的過程。

那麼我們看的影片、電影過程中，都是大人成熟型的講話速度、方式、語調，我們怎麼可能跟的上？

一旦跟不上，思想中就會產生覺的好難哦、我不行種種念頭，那麼產生了這種潛在式的排斥心理作用，那麼你就更難學的會了。


所以我們必須打好基礎、深厚的基礎，萬丈高樓平地起，唯有打下深厚的基礎，後面你走的路才會越來越順。

程式界裏有句話，程式債欠的越多，最後就只能放棄。學英文也是一樣，英文單字債欠的越多，你就直接上來文法、句型、語調，最後也只能放棄。

基於上述的思維，我打造了這套系統，從最基礎的單字學習起，不斷的強化、加深你對這個單字的聽力，透過各式各樣的影片、各式各樣的人、各種不同的場景。

就只是為了訓練一個單字的聽力，無數的人跟你講同一個單字，講個20遍、50篇、100遍(且不重覆)，我就不信學不起來。


這套系統做出來後，我自己在使用的過程中，確實真的能聽出來他們講的這個單字，而且他們講的速度再快也能聽的出來。

能聽的出來，就知道他講的大概意思；能夠知道他講的大概意思，就能夠用幾個簡單的單字回應；能夠回應，也就能夠對話；當能夠對話，就能夠再修正文法、句型、語調。


我的目地就是希望自己至少能聽的懂人家在說什麼，用英文跟人家對話，大家共同努力、學習。若有其它想法或對這套系統設計的建議，也可以與我聯絡：ichich2013@gmail.com

Opportunities and Challenges for UX and AI (PAIR UX Symposium 2018)
觀看次數：395
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karen
okay
fantastic
the
hook
so
Sarah
i'm
kenneth
you've
wearables
robotics
voice
interactions
interactions
starting
back
in
1996
so
more
just
dialectic
dialectical
oftentimes
there's
just
this
huge
just
like
he's
totally
anonymized
people
goal
so
it's
like
unless
there's
imagine
or
or
concretize
those
decisions
hyper
nudge
system
that
kara
was
talking
we
can't
sort
of
concretize
it
and
I
I
to
helpfully
and
in
you
know
timescales
you're
designing
say
and
you
ticket
also
adversarial
actors
in
that
system
discussions
trust
the
recommendations
that
aren't
my
vended
and
so
there's
decisions
confidently
for
themselves
point
you've
taken
away
authorship
designer
of
a
user-centered
design
and
I
shouldn't
be
and
and
what
i've
heard
know
or
ditching
the
idea
of
a
user
I
the
well-being
of
ecologies
communities
democracies
societies
etc
so
I
think
them
healthily
californian
ideology
a
Lean
startup
is
a
system
that's
predicated
upon
empiricism
ethically
and
the
californian
ideology
I
recognise
i'm
in
switzerland
but
at
initial
paper
from
95
it's
andy
andy
cameron
and
richard
barr
Brook
kind
of
working
on
a
day-to-day
basis
lanyards
and
slide
decks
if
we
get
to
designing
for
somebody
i'm
designing
for
city's
democracy's
political
agendas
and
that
are
way
overblown
in
ucd
upfront
and
think
about
a
broader
intersection
and
an
intersectional
useful
and
modeling
the
effectiveness
of
of
an
individual
that
you're
designing
AI
and
user
centered
designers
as
soon
broader
systems
because
yeah
the
views
of
stakeholders
to
include
and
the
day-to-day
comings
and
goings
of
person
that
we've
delegated
this
role
that
we've
delegated
to
be
the
Advocate
influencing
the
decisions
of
others
who
user
research
and
there's
no
in
free-range
AI
which
is
totally
unbiased
web
1029
and
tim
berners-lee
wrote
an
use
case
is
is
blamed
unfairly
for
an
annex
data
analytics
data
and
so
on
for
practitioners
and
for
builders
that's
a
granted
thing
but
for
end-users
end-users
is
super
useful
and
it's
a
visualization
background
and
if
I
can
patrick's
talk
but
also
I
think
echoed
morning
and
patrick
said
blurring
the
you
know
explica
bility
in
these
sorts
within
your
systems
even
if
it's
algorithm
sentencing
algorithms
and
so
that's
one
of
the
things
that
designers
realities
of
the
users
and
the
user
human
day-to-day
conversations
when
we
that's
especially
ludicrous
to
ask
a
my
six-year-old
like
pushes
my
three-year-old
or
something
like
why
did
layer
of
calibration
and
and
lawyer
like
there's
systems
like
to
be
a
sort
of
quality
or
thoroughness
or
representativeness
into
it
so
that
we
into
the
methodology
of
collecting
it
and
make
the
decisions
thoughtfully
if
we
weren't
explicitly
addressing
that
so
individualistic
view
because
you
know
apparently
for
fourteen-year-old
girls
it's
now
become
as
its
embedded
into
stream
this
is
the
decision-making
that
and
here's
who
the
arbiter
of
that
so
as
to
as
matt
says
that's
an
ethically
can't
deeply
and
I
think
that
how
we
design
for
regulators
there's
a
that
cannot
be
and
participated
so
people's
reactions
to
things
if
we're
presuming
they
aren't
interested
and
accountability
there
which
is
likely
to
of
heartbreaking
event
actually
and
it's
abusers
and
two
groups
of
attackers
now
those
apps
bubbly
conversations
Wikipedia
has
been
hours
of
videos
uploaded
to
YouTube
like
it's
just
there's
too
much
to
wrangle
dialogue
and
leaning
into
ways
that
deeply
introspect
but
there's
a
trust
regulated
regulators
and
can't
always
be
progression
and
we're
all
kind
of
the
opportunistic
and
in
the
way
that
we
issue
where
you've
got
the
creators
and
there's
a
kind
of
time
lapse
and
then
opportunists
as
we've
seen
last
week
I
perverse
distortion
yes
so
you've
got
applications
of
commoditize
abul
else
how
would
you
avoid
unintentionally
there's
a
waterfall
or
a
surger
snowball
recognize
the
limitations
we're
just
focusing
on
that
initial
early
adopter
so
the
designated
dissenter
or
questions
yeah
it
is
collaborative
it
so
it's
a
regulators
are
gunning
for
AI
both
in
a
forbid
even
switzerland
well
that's
guidelines
there's
an
expert
group
that
has
luciano
floridi
and
karen
young
in
talk
to
me
yet
until
you've
clicked
my
on
permissions
up
front
there
in
browser
evaluate
the
effectiveness
and
so
there's
a
there's
like
a
wide
gap
practitioners
in
the
conversation
having
datasets
that
are
intentionally
of
anonymity
and
data
blindness
that's
deal
with
the
considerations
for
people
steering
inputting
to
this
process
because
I
think
we're
designing
this
for
come
up
with
skeuomorphism
and
ui
design
not
systems
fail
for
people
or
aren't
we're
talking
about
generative
systems
the
user
and
we'll
have
more
successes
these
systems
but
realistically
not
destinies
within
social
systems
so
it
of
that's
the
way
it's
going
to
be
i'm
that
heavy
appetizers
isn't
a
local
zero
we've
hired
it's
it's
but
in
terms
of
terms
of
some
of
the
fundamentals
of
topology
of
what
we're
doing
and
we
can
intentional
and
aware
and
enticed
to
zurich
facilities
and
our
sponsors
both
a
discourse
and
empower
designers
and

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