my name you hear
it's joint work we can make the quality and driving is well that's are
i australia this that's george running manner
you can see where very active group and we are linguists
from a university pairs of it
and we're going to talk about
when do we love
in previous work has been found that laughter is very frequency compensation
it happens they are different speakers but
frequency between
six fifty times per ten minutes
so
and
laughter can takes
very useful in terms of its
four eight six
and occur in a variety of context
but if i are you
when do we have
i think we maybe not your body find someone the street
it probably like
say
that's we live when someone tell us the joke or we'll off when we have
been tackled but actually those two occurrences are not the most frequent context for laughter
and i'll show you a few examples i don't so we know that laughter is
contagious meaning that we more likely to laugh in social settings we more likely to
love
what we're in the presence of others
so just to show you
a different type of context that laughter can
can't occur i have got from
i
so i've got this one i'll just show your view
okay
the numbers your
is used for all their
model for portable my school seems to
or
also
okay
okay
i
i
i
we think that i i'm glad you guys a lot and so here is a
common may need for example after you know goes failure i mean does not to
get if at a guys is a failure videos are you to that people like
to watch a lot of about it
and but even he's laughing about it
but if he broke is provided
i probably okay he wouldn't and his friends probably would not either
that's not that only happened in happy moments okay
so i'll show you ever very unlikely context for laughter
and show all of you know about the terrorist attack in paris
when so this bands that you go that's
you don't of death metal
and four groups they were drafting the in the battle close the a fiesta with
a lot of people
and you knew about the terrible story so this is the video
of an interview
of the people from the band
you know this something under raising the are talking about the most horrible experiencing their
lives that you wouldn't think they would laugh right but actually a little bit of
a little bit
the describing what happen
or you know you have just so as to the gunfire
actually instinctively from my perspective it seems you see
we see that
and it will have a
okay that more usable or knowing that
where
but i don't use also his friends patted him on the on the shoulder and
he laughed as a little off a little one
and here's a another
there you know everyone's really more than once we don't
our knowledge this reason for you know you have just so this case the gun
actually instinctively from my perspective sushi sue
so that little or no
and here when he's talking about again they were hiding the one of the rooms
of the back
is reduced since we don't very few people would be shot
we people's which were ranchers the door
years ago maybe for each
as someone have led to
is a little elf is a overlapping with speech
it was trying to say someone has left able or something
the bottles you mean room
so
these examples of course they feel laughter is very different from the from the from
the first example
so
it can really locally in the very different context
and although it's that laughter most likely occur in the presence of others
will be interaction you can also happen we just by ourselves
so here is in another example when
the grandmother is laughing all by myself
they see section the sky on the one and thanks to the i
that a lot about their going on there
so i showed you that laughter can really take very different forms as you can
see the plastic one you goals of that metal example is very different from the
other two
and that's and i can occur in very different contexts
and also i was trying to say that laughter is contagious
so here's a very interesting example talking about laughter and dialogue
so this is a core are also
the question was
what's your best random conversation with a stranger
and this example is a also size
it wasn't a traditional confirmation process anybody when likeness
i mean having to mt anyway to start laughing to myself it funny takes no
phone i will then maybe standing opposite me smiles at me
me grin still giggling slightly men grumpy face
and then me come stop eating
is beginning to wonder woman catches my right laughing
slightly i mean me for problems for the laughing gasping for breath now
women burst out laughing at me magical is that women laughing
add to me and when the elevator continues to the bottom or in absolutely as
running down phase hysterics as we exit the elevator
so here's the conversation of or interaction of just laughter
okay so let's do some scientific research about their the current state of research and
after is that most studies this working psychology working social still social linguistics in conversation
analysis
then we have looked at its laughter
a lot about
on it is also be used laughter
independent context
as stimuli
and all they study laughter as a response to humorous
stimuli
but there are very few there are some but not very many studies about laughter
in conversations
if two we had dialogue you want to study laughter in dialogue what can we
study
if we think about this we can study we can approach it from
of three direction
we can study the precondition of laughter
many we can think about
what triggers laughter
we can we can look at the context of laughter
so what is graphical kernel and in what in what kind of order
we kind of what study laughter features of laughter
of the of it so we can study the
the for meaning the phonetic the phonology of laughter we can study all
for propose a semantic meaning of laughter
and we can of course look at laughter
each of laughter in you know
why the that features that are universal
or whether the other language and cultural specific
i is we can study the post condition of laughter meaning
the effects of laughter on dialogue no interaction
so we can study
what can expect a lot of the have some discourse in terms of
for the interaction
we can study the effect on the speaker the addressee and you're interaction in terms
of affiliate even those right
and let's look at two issues
one in the preconditioner whining the post condition
so
in precondition we have this question
which is
what does not have to happen
and there is a very commonly assumed to while slide widely cited
idea is that laughter
one laughter is about is what it follows
so the idea is that's we say something
and we laugh about its task or data it "'cause"
i if is really right so studies as far as we know try to resolve
what laughters about by looking at one laughters adjacent to
and
and
and there's a lot of conclusions based on this assumption
that's most laughter is about something been i'll
this is a very widely cited idea from providing
because they look is what laughter formal
and that's will have more is what we see ourselves
so this is one issue is it true that one laughter is about is what
it follows
this is an issue with a question about the post condition
so that we would like to know what kind of you fact
laughter has on dialogue no interaction so can we have a meaningful
functional taxonomy of laughter and currently doubt thousands of them systems
in the market and there there's little agreement
so we would like to ask what functions do not at all of them have
there have and how well
laughter can have so many different functions
let's look at the first issue in terms of current state so
is it true that's what laughter follows is what is about
and if in a study by from one i twenty three they observed natural conversations
and their methods was like this
when an and when an observed or heard laughter should recorded in a notebook the
moment immediately preceding the laughter the sorry the comments immediately preceding laughter
and if the speaker or the audience laughed
and they know that only ten twenty percent of the previous comments was humorous
and that's they concluded that laughter is for the most part not related to humour
but is about social interaction
i did this conclusion from this study was that nothing never interrupts the each but
punctuated
and
also there's a study by a patent or two thousand four
we also or milking et note that only timing
parameters to decide what laughter is about
so i think of missing one slide
so but
these studies assume an adjacency relationship between laughter and laughable so what the laughter is
referring to
and
we would like to question this assumption because this assumption hasn't been studied
and
then what the preceding comments
he's the reference
and it is not amusing itself image in which to refer to when using event
so and if we mention is dialogue a says
to remember that time and then both in time we're laughing
that the batteries do you remember that time is not humorous in itself
but do not able to all the reference it will be for this interaction is
has been reached
to
reference you are in hd notation of that event
every that right
that the water okay so second issue
how many times sub-block how many types of laughter other if we want to have
a good taxonomy functional taxonomy of laughter
i'm currently there are
so many
so for example
this a suggestion that's we can distinguish
we can have a binary distinction between physical
and the emotional after
and the pirate was ninety nine three proposed at least eight
different social functions including affiliation
aggressions torture anxiety fear joy
source of all
as you need i don't want nineteen ninety four proposed three types of laughter
laughter due to pleasant feeling social after laughter for each intention
higher a lot of the two thousand three oppose not different three types of laughter
approach when you release intention or is the called euler
and control i don't when two thousand five proposed
what i
hearty laughter muse laughter
that's recall after and social actors so on so forth
and so as you can see they really this very little overlap
and we believe that one we have the lack of agreements in terms of functional
taxonomy of laughter
is that there are several layers relates relevant to the analysis of laughter
and different classification system and even types within the system all related different layers of
analysis so just as an example
in spite of ninety three taxonomy
affiliation
meaning to agree is roughly be
location to react performed by laughter
well actually is the feature of the emotional trigger severe really relating to different levels
so we need to have a linguistic approach
to study that are so here's our proposal we propose to look at laughter linguistically
at any events map and a full
and so there's a again common assumption that laughter has only emotional content and no
propositional content
for example and two thousand thirteen
and we argue that laughter needs to be integrated with linguistic input
and for the following reasons first of all
second be was the aspects other than the communicative emotion
so
very often
we ask about clarification questions in terms of what is funny
so when you have
we
understands the emotion that you're communicating what we don't understand
is the reference
that's this laughter is referring to
i'm not
right okay
really
okay
and i spent so much time on the video
okay
so
we so we propose a multi layered approach to study laughter where we distinguish for
meeting and function
so in terms of
we know cats
mostly now in our study
contextual features
an instance of meeting
we look is we are proposing
one semantic meaning a unified semantic meaning with two dimensions
an instance of function
we look at things like feature and prosecution reacts
the semantic meaning we propose that too much
but not
one is the laughable and the are the other is the arousal
okay
so
i'll
to quickly about the so here's a problem proposal in terms of the semantics of
laughter
and we say that the meaning of laughter is guys the appraisal the laughable
l
triggered by triggered a positive psychological shift with the times and that you
of delta
and meaning of laughter is
how do you context dependent
and this meeting well aligned with context reasoning can generate a wide range of functions
go quickly about the arousal dimension with a that's not after a trick as a
possible positives like logical shift
and that's
the arousal dimension signals the amplitude of this shift
this is a continuous dimension
and that it doesn't signal be overall emotional states
so if someone laughing doesn't mean that overall this person has a positive emotional states
but
that's there is the positive shift
and in terms of what we propose at the moment three a degrees
it can run you can be triggered by the laughable can be of type
a playful enjoyment like the prime are running the a rollercoaster
can be about in contrast
for example
when the band member found able to champagne
i about in groupness
okay so
i'm really ready on time
i was a so we studied
i nine in natural dialogue
this is
from our own corpus
our jump to
so we call it is
several levels things oneself
at the four level we had look at
whether laughter overlapped with speech there's temporal sequence where the laughter following of the laughter
we had no cats in some solo laughter not available
what incurs before during all have the laughable
in terms of semantic meaning we have quotas
the perceived arousal and the type of laughable
so in some way that we think there's in congress you or not
and in functions we are we have a roughly binary distinction between cooperative function
and non-cooperative function but i'll show you
a more detailed functions later
our job all of course i'm sorry about that's
so all we i don't i six hundred and around six hundred sixty laughter events
we found that it's very frequent the average
duration it's about
under two seconds
and we found that since a novel the most frequent have above is described events
followed by extra for a conventional something happening the physical context rather than the linguistic
context
followed by metalinguistic divan sounds for example if i is if a mispronounced a word
and we found that
there are more self produced laughable then part to produce laughable meaning is true that
will have more often about what we set ourselves
i still
that's laughter immediately for the laughable if the true that what laughter follows is what
laughters about well we actually found that there is the rubber free alignments between the
laughable i'm the laughter
so here is the other graph
channel plotting the distance between the end of the laughable and the beginning of the
laughter
and it's you can say they in the time peaks at zero
that's the average number actually below zero and there's the wide range
so laughter can really ago called long before the laughable
during the lovable and i and after all
we find that only thirty percent of laughter
happens immediately after the laughable
whereas but the majority of laughter the most frequently laughter happens during the laughable
okay in terms of context of form-related his we find that
dyadic laughter is very frequent meaning that was that one is very frequently your partner
withdrawing laughter
forty percent of laughter encoding immediately after we had the same time as partners laughter
and have to very frequently overlap with speech around forty to fifty percent of laughter
occur at the same time as speech
mean i we want to have an actual dialog system we need to be able
to generate speech
that's has like overnight laughter
i we found that laughter fast interrupt utterance of was very frequently we laugh with
someone else is speaking in the middle sentences
but sometimes we put a bit of laughter
we now on utterance
okay in terms of mean e
we found the majority of laughter actually have low arousal so they have low intensity
initial duration and arousal correlates with duration
and that the majority of the laughable each other to communicate recognition of incongruity
there's something concordance so for example nothing have to saying someone has found a bottle
of champagne that's signals that's finding a bottle of champagne this context is incompetent
so this is domain specific because these functions
are the most frequent function in our corpus because our proposed is natural
cooperative dialogue and we re well it's definitely not the case that this is of
full
functional taxonomy full or laughter in all kinds of dialogue but you know you know
that you know what was
the most frequent function for laughter is to show enjoyment
followed by
and there's a function called smoothing and soft ending so this is a well as
social function of laughter and
and there is show agreement
to mark funding this
to mark that will you about the same normally is funny and something called been
have anything to action so this function this a traumatised being
hence being it's being used in that you're already
and
i mean is
so a very common example been everything the action is rising something like could you
give me a couple of a coffee
data
that laughter i used to trigger happy not its meaning that i want you to
be close to me something like that okay
so
very quickly one minute
and
so we want to
we want to see
if we can use context one form related
features to predict all kinds characterize function
basically there is no single form
a related features that can characterize
and distinguishable kinda function
but we
and that specifically one thing is that french and training have very similar distributions and
it's very similar
signature in terms of these form-related yes
and that's
well as different as well
to show enjoyment is one of those frequent after that has normally
a wide range of duration but tend to be known duration
i been addressing the action and smoothing is often means that meaning that politeness related
laughter
time and
with low is
this is slightly less duration
and that happen it's was the end of the laughable
okay i think a rerun of running around trying to the detailed a please refer
to our favourite so i don't we can conclude
that's the we propose a semantic pragmatic accounts and thing which laughter is treated as
the gestural events and of all and that's in terms of data we found that
laughter
frequent speech floppies frequent
dyadic laughters the joint laughter is frequent we found that the distribution of laughter not
always rather free and only about thirty percent of laughter happening immediately after laughable
i is the majority of laughter is about incongruent stimuli
with low arousal
and that's a we found in a group was for frequent functions characterized by a
class of layers
curve form-related layers rather than a single layer
and guidepal frequency most patterns are very similar between in french and english french in
chinese
suggesting that have to behavior might be largely language and culture independent
a topics or stop here
okay
that's it happens already
most likely so i think two possibilities one is to do with incremental processing and
predictive processing right
so very of the we can predict what's
the end of the sensors
so very of the we know what exactly someone else to say
is about to say that's why i could be why we could laugh solely before
well the reference it of laughter is even finished
and the other one yes i think most definitely their ability gesture cues and also
on the visual expression account find that could indicates
that i'm about level you should love
we did capture body movement of fisher expression data using connect but we have analyzed
that yet
but as a good suggestion
and it wasn't the cases when laughing laughter happened right quite already is because you
can we can predict what about k
roughly all that someone has said mid sentence and we basically no the rest and
we start laughing
and that's you know like language every other aspects of language processing that is incremental
predictive
okay
no one is to study laughter acquisitions of the we found that and these the
optimal a three year old
the laughter pattern of a child is nowhere near
i don't so
and so we were thinking one thing is to link laughter behaviour is the only
indication of autistic
spectrum because
laughter although it seems to develop it develops lonely it is one of the only
is things but they used to it around three months
and we like to integrate a emotions we information state you know semantics would like
to study what the smile after differ only in scale or do they have different
functions and of course in laughter generation
it's true and also a lot of time people jointly complete the laughable so when
like someone is that how sent to the other one jumping in to complete this
and this will them while laughing
if you're image