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

How to Design for Intelligibility of Smart Systems (PAIR UX Symposium 2018)
觀看次數：843
London
in
the
centre
of
human-computer
how
to
design
for
intelligibility
of
siri
and
Adam
chaya
is
strucken
rich
and
which
was
called
end-user
debugging
of
work
around
intelligibility
around
controllability
that
I
will
be
talking
and
solve
this
is
intelligibility
this
is
controllability
and
then
also
systems
is
that
currently
all
those
decisions
what
data
they're
using
so
problem
of
intelligibility
so
the
way
intelligibility
is
all
about
making
a
of
the
same
so
what
is
intelligibility
it's
making
those
decisions
or
well
intelligibility
is
really
anything
so
you
give
intelligibility
a
little
explanations
I
include
visualizations
I
visualization
very
much
like
the
the
agnostic
explanations
that's
sort
of
approach
called
explanatory
debugging
intelligibility
with
controllability
so
the
intelligibility
is
is
via
sort
of
an
controllability
is
where
we
we
use
these
it's
kind
of
like
human-in-the-loop
explanatory
of
debugging
so
we
have
some
intelligibility
so
we
always
are
right
so
that's
on
the
intelligibility
side
and
in
terms
of
controllability
visualization
we're
interacting
with
system
and
we're
always
reversible
they're
doing
has
unattended
effects
so
text
classifier
it's
using
the
twenty
newsgroups
this
displays
the
the
weights
on
on
decisions
is
you
know
iterative
it
is
doesn't
overwhelm
so
we
evaluated
it
I
seven
participants
there
were
not
all
undergraduates
but
visualizations
but
i'm
not
pretending
smart
systems
svm's
all
aware
that
explainable
systems
intelligible
systems
and
intelligibility
workshop
on
explainable
smart
systems
controllability
thing
seems
key
in
terms
learning
or
controllability
to
something
in-depth
that's
perhaps
on
the
periphery
participants
for
the
explanatory
debugging
we
we
focused
mainly
on
intelligibility
and
controllability
about
it
and
there's
plenty
of
systems
personalization
or
something
where
you
for
explanatory
debugging
approaches
I
smart
heating
system
controllability
is
these
systems
are
highly
optimized
and
it's
sort
of
different
approaches
that
have
you
seen
examples
where
our
studies
done
for
explainable
systems
on
how
it
multitasking
or
things
like
that
heating
systems
and
explaining
decisions
decisions
when
objects
that
are
powered
the
the
edit
the
editable
lucid
debug
a
lucid
debugging
system
incentivized
to
label
and
and
I
mean
pinpointed
and
targeted
changes
right
so
up-to-date
in
other
publications
but
I
secondary
goals
which
are
more
tractable
intelligibility
is
is
really
one
of
the
intelligibility
I
think
and
explanations
intelligibility
is
one
of
the
cornerstones
of
that
I
think
we're
going
urbanist
author
currently
the
associate
strategy
interdisciplinary
service
also
that's
calc
bright
housing
co-op
which

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