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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>A Process Algebra Account of Speech-gesture Interaction</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Hannes Rieser</string-name>
          <email>Hannes.Rieser@Uni-Bielefeld.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Bielefeld University</institution>
          ,
          <country country="DE">Germany</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The paper is based on extensive corpus work dealing with the interaction of gesture and speech in natural routedescription dialogues. The issue discussed is how non-regimented gesture and speech processes can be modelled in a formal system. The main argument is that this cannot be achieved in structural paradigms currently in use. The proposal is to turn instead to process algebras in the tradition of Milner's π-calculus. The special algebra discussed is a newly developed hybrid λ-ψ calculus which can transport typed λ-expressions over communicating input-output channels. Central for the account is the notion of agent. Speechgesture interaction is implemented via io-channel interactions. Interactions are allowed, postponed or blocked using a typing system. Terminating communication among agents leads to a multi-modal meaning representation.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Relevance for the workshop</title>
      <p>
        The key-concepts in the workshop title “Formal
approaches to the dynamics of linguistic
interaction” are implemented in this paper in the
following way: The type of linguistic interaction
handled is the interface between speech
processes and co-verbal iconic gestures. The
dynamics comes in due to the incremental
modelling of the speech and gesture processes
and the interaction among these which results in
multi-modal meaning.
        <xref ref-type="bibr" rid="ref9">(Concerning interaction
in the CA sense, as for example treated in
Kempson et al. 2016, see Section 4.)</xref>
        Finally, the
formal side is provided by the hybrid
λ-ψcalculus used. The paper builds upon former
work on a λ-π-account of speech-gesture
coordination in Rieser (2014, 2015, 216).
2
      </p>
    </sec>
    <sec id="sec-2">
      <title>Speech-gesture Interaction</title>
      <p>
        The paper starts from the corpus-based
observation that gestures are semantically
related to the speech they accompany. In light
of this, the question arises how they interact
with speech and how this interaction can be
modelled. Virtually all gesture research
assumes that gestures have form and meaning.
Following Kendon and McNeill
        <xref ref-type="bibr" rid="ref10 ref17 ref18">(Kendon
2004, McNeill 1992, 2005)</xref>
        , a gesture’s
structure is characterised by the three
consecutive stages preparation, stroke, and
retraction. Gestures span from rest position to
rest position. Rest positions hence determine a
gesture’s individuation. The stroke extends
over a time span measured in systematic
annotation. Only the gesture’s stroke must be
present to represent a gesture; the meaning of a
gesture resides in its stroke. In natural
conversation, however, rest positions vary.
Moreover, the stroke position is often held by
communication participants producing
socalled “post-stroke-holds” which can be
operative within and across turns, see Example
1. The effect of this is usually that given
information is kept and hence visually present
on the gesture channel while currently new
information is produced on the speech channel:
Next speaker may already produce her turn,
possibly accompanied by her own gesticulation
while the previous speaker still holds stroke
information. So gesture and speech have their
own modes of encoding and yielding
information. Gesture information as
understood here is encoded in a formal
language specifying topological entities like
points, lines, planes or solids and intersections
of these. It is drawn from systematic
annotation of gesture occurrences using hand
positions, palm- wrist- and back-of-hand
orientation etc.
        <xref ref-type="bibr" rid="ref22">(as developed in Rieser 2010)</xref>
        .
Gesture information is always partial. The
partiality feature is not treated in this paper, a
first account of it is given in (Lawler, Hahn,
and Rieser
proceedings.
contained
in
these
3
      </p>
    </sec>
    <sec id="sec-3">
      <title>Gesture Speech Asynchrony</title>
      <p>
        Systematic annotation of multi-modal data
shows that when interacting with speech,
gestures do not perfectly synchronise with their
“privileged” semantic coordination point.
Although received knowledge, this is still a
research problem for current descriptive and
formal gesture research
        <xref ref-type="bibr" rid="ref1 ref11 ref12 ref20 ref22 ref23 ref6">(Alahverdzhieva and
Lascarides 2010, Giorgolo 2010, Lascarides
and Stone 2006, 2009, Lücking 2013, Oviatt et
al 1997, Rieser 2014, Röpke et al 2013)</xref>
        as the
discussion of gesture-attachment issues shows.
Gestures can come entirely before the aligned
speech, entirely after it or overlap it. Gesture
information can be totally independent of
speech information, thus providing additional
content as in the examples sketched below.
Especially this last case is taken as evidence
for the independence of the gesture system
from the speech system and will largely
determine the style of modelling. As a
consequence, the description of speech-gesture
coordination cannot be given fitting the gesture
meaning representation into the speech
meaning representation in some naïve
compositional way using e.g. unification.
Doing so would violate the independence of
gestural information and unduly regiment
natural data; especially its non-perfect
synchronisation with speech would then escape
reconstruction. To clarify this last point,
assume that a gesture indicating a square
comes entirely before or entirely after an
utterance of “window” which does not provide
the square-information. Then fusing the square
property directly with the
“window”representation would avoid to reconstruct
nonperfect synchrony. Motivated by corpus data
(
        <xref ref-type="bibr" rid="ref16">Lücking et al 2012</xref>
        ) and concentrating on
referential and iconic gestures, we propose to
view gesture and speech as independent
processes which interact if it is semantically
apt, expressed more technically, if their typings
fit. Seen from one point of view, speech is
gesture’s main companion: gesture may
“offer” its information to speech and speech
may take it up. If taken up, we get multi-modal
information, information assembled from two
different sources. If rejected, the gesture stroke
can be held waiting for a more appropriate
communication opportunity, which, however,
could fail to arise: Gesture was put on an
outgoing channel but could not enter an
ingoing port. There are also more subtle types
of gesture-speech communication where
speech provides the immediate context for
gesture interpretation and the result then again
interfaces with speech. It is an open question
whether we always have this dependence on
the speech context. This will not be discussed
in this paper
        <xref ref-type="bibr" rid="ref13">(however, see Lawler et al. 2016,
where that is the central topic)</xref>
        .
4
      </p>
    </sec>
    <sec id="sec-4">
      <title>Outline of Process Algebra Used</title>
      <p>Before we give some indication of how to
model the gesture speech asynchrony
described above, we briefly sum up the
empirical findings: Empirical data suggest the
need for
•
•
•
•
•
channels on which information (data,
agents or procedures) can be sent,
procedures operating concurrently,
interfaces enabling communication
among processes,
active and non-active processes, and
communication among agents
organised via an i-o-mechanism.</p>
      <p>
        The shift to considering communicating
processes necessitates the move to a
methodology featuring a process ontology
instead of a purely domain-of-objects one as
usual in linguistics, logics and philosophy. The
one we will use is the ψ-calculus
        <xref ref-type="bibr" rid="ref2 ref8">(Bengtson et
al. 2011, Johansson, 2010)</xref>
        , a recent extension
of Milner’s π-calculus
        <xref ref-type="bibr" rid="ref19 ref21 ref27">(Milner, 1999, Parrow,
2001, Sangiorgi and Walker, 2001)</xref>
        , belonging
to the field of Process Algebra
        <xref ref-type="bibr" rid="ref3 ref5 ref7">(Fokkink 2000,
Hennessy 1988, Bergstra et al. 2000)</xref>
        . The
ψcalculus works with processes (so-called
agents) and data structures which can be
transmitted among agents via structured
channels using an i-o-facility. Essentially,
gesture and speech are viewed as such
ψagents in this paper.
      </p>
      <p>
        We provide here and comment upon the
central definition for the behaviour of ψ-agents
P, Q, … , following
        <xref ref-type="bibr" rid="ref2">(Bengtson et al. 2011)</xref>
        :
25
26
      </p>
      <p>Hold on. Well, you-CUTOFF. Well, you walk now into this
WINDING GESTURE
street and then where is the sculpture? Is it at the front or to</p>
      <p>GESTURE GESTURE
the left or to the right
GESTURE GESTURE</p>
      <p>WINDING GESTURE HELD
Example 1: English translation of a German transcript from the Bielefeld SaGA corpus (Follower).
Right-hand winding gesture in green, left-hand indexing gestures in yellow. The winding gesture
(stroke and post-hold) extends throughout turns 22 to 26.</p>
      <sec id="sec-4-1">
        <title>Definition:</title>
        <p>0 Nil, the empty agent
MN.P Output
M(λx)N.P Input
τ Silent agent
case φ1: P1 … φn: Pn</p>
        <p>Case construct
(νa)P Restriction
P | Q Parallel
!P Replication
(|Ψ|) Assertion
“.” Sequential composition
The 0 agent is inactive. “MN.P” (M overbar, N
dot P) puts a data structure N onto an outgoing
channel M, and continues with process P,
possibly a 0 process. “M(λx)N.P” (M under-bar)
indicates that a data structure is received on the
input channel M and substituted for the
λvariable x in N and P. In the case construct one
alternative Pi is chosen given that φi is true. The
case construct is also used to model the
nondeterministic or. The restriction ν means that
the scope of “a” is local to “P”. The parallel
operator “|” enables P and Q to expand
independently or to communicate with each
other via the i-o-operators, possibly after several
independent expansions. Replication is defined
as P|!P which means that P can be repeated
arbitrarily often.</p>
        <p>
          Before we present an informal description of
how the λ-ψ- calculus can be put to operation,
example 1 shows the English translation of a
German transcript from the Bielefeld
Speechand-Gesture-Alignment corpus (SAGA,
          <xref ref-type="bibr" rid="ref16">Lücking et al, 2012</xref>
          ) used for this purpose.
        </p>
        <p>The example is a section of a multi-modal
dialogue between a route-giver and a follower.
We briefly sketch how the dialogue excerpt can
be modelled using the ψ-technology: The
follower uses a winding gesture when starting
her contribution with “well”. On one reading,
she wants to modify “street”, so the gesture
stroke precedes the optimal interface point.
Other possible integration points not discussed
here are “walk”, “into”, and most notably, the
event of walking-into itself. After, e.g.,
interaction with “street” and production of a
multi-modal meaning “bendy street” the
winding gesture is still held. In the end, ψ’s
i-i-io-facility is taken to model speech-gesture
coordination. Due to the incremental grammar
hypothesized, the logic of the data structures
involved (typed λ-calculus) and the logic of ψ
we arrive at a complex hybrid tool, the
λ-ψcalculus.
5</p>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>Definition of the Speech-gesture</title>
    </sec>
    <sec id="sec-6">
      <title>Interaction Agent SGIA in the λ-ψ</title>
    </sec>
    <sec id="sec-7">
      <title>Calculus</title>
      <p>The λ-ψ-agent SGIA that
• handles incrementality,
• implements the intuitively correct
scopes, and
• achieves the speech-gesture integration
is defined in the following protocol (0-agents
being sometimes omitted):
SGIA =def !ch1&lt;λf λu (f(u) ∧ bendy’(u))&gt;
|ch7 (we’). &lt;λp(well’(p))(we’)&gt;
|ch4 (w’). ch5 (i’). ch3 (ts′). ch6 (nw’).
ch7. nw’&lt;&lt;&lt; λf λru (λx (f(x, you’) ∧ r(x,
u))e)w’&gt;i’&gt;ts’&gt;
| ch4. &lt; walk’&gt;.0
| ch6. &lt;λp now’(p).0&gt;
| ch5. into’.0
| ch2(s’).ch3. &lt;&lt;λg (this x (g(x)) s’&gt;&gt;
| ch1(b’). ch2. &lt;b’ &lt;λx(street’(x))&gt;&gt;.0
The agent consists of eight concurrent
processes, indicated by “|” of which only the
gesture-simulating one is recursive due to !.
Sequentiality (order among constituents) is
achieved by types, not given here. It is helpful
to keep in mind that we have o-i-channels
indicated by overbar and under-bar,
respectively: A winding gesture is produced
concurrently with the words &lt;”well”, “you”,
“walk”, “now”, “into”, “this”, “street”&gt;.
Using ch1 it sends its information to “street”,
yielding thus “bendy street”. The property
“bendy street” in turn sends its information via
ch2 to “this” and we get the referring
expression “this bendy street”. This
information is set aside for a while, since the
output channel does not immediately find a
matching input channel. The information tied
to “you” is a propositional function and needs
several constants inserted via channels ch4
(w’), ch5 (i’) and ch3 (ts′), respectively, in
particular a relation “walk” defined on an
event e and a subject “you” and a relation
“into” defined on the same event and the
multimodal referring expression “this bendy street”
already compiled. The resulting term is the
proposition “There is an event of you walking
into this street” that “now” looks for due to its
ch6 and with which it combines moving into
ch6 to yield another proposition, “Now there is
an event of you walking into this bendy street”,
in more colloquial terms (cf. the annotation of
the dialogue-part in Example 1), “Now you
walk into this bendy street”. This new
proposition is put on an outgoing channel
ch7 and combines with “well” using input
channel ch7, again generating a proposition
“Well, now you walk into this bendy street”
while the winding gesture continues to be held
due to !ch1&lt;λf λu (f(u) ∧ bendy’(u))&gt;. Hence,
the formula to be interpreted is in the end
!ch1 &lt;λfλu(f(u) ∧ bendy’(u))&gt;.0 |
well’(now’(walk’(e, you’) ∧ into‘(x, this’ x
(street’(x) ∧ bendy’(x))))).0
of which only the second closed process
well’(now’(walk’(e, you’) ∧ into‘(x, this’ x
(street’(x) ∧ bendy’(x))))).0 is satisfied.
6</p>
    </sec>
    <sec id="sec-8">
      <title>Future Research</title>
      <p>
        The account given handles the property + noun
semantics case using λ-ψ-processes. The
shortcoming of this particular example is that
the initial introduction of the
bendy-streetgesture combination into the dialogue is not
shown. This opens up the question at which
level existing dialogue theories can be married
with the process architecture. In talks I already
sketched that the basic λ-ψ-i-o-facility can
also be used to model split utterances with
inturn-acknowledgements as discussed, e.g., in
        <xref ref-type="bibr" rid="ref4">Eshghi et al. (2015)</xref>
        :
      </p>
      <sec id="sec-8-1">
        <title>A. The doctor. B. Chorlton? A. No, Fitzgerald. B. uh-huh.</title>
        <p>In order to do so, one establishes “turn
channels” transporting the respective dialogue
contributions of A and B. These have to satisfy
A’s and B’s tests modelled with the
caseconstruct. Furthermore, by way of
generalisation it can be argued that ψ can be
used to model any type of multi-modal
information which was subjected to rigid
annotation.</p>
      </sec>
    </sec>
    <sec id="sec-9">
      <title>Acknowledgements</title>
      <p>Thanks for the comments of three
ESSLLIreviewers which helped to improve the Ms.
Due to space restrictions not all of the
reviewers’ suggestions could be taken up.
Some would also require much additional
research.</p>
    </sec>
  </body>
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