20 November: FYI -- Phd Funding (Paris, France)
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PhD position in Computational models of Disfluencies in social
interactions between a pedagogical agent and a student
Place of work : Telecom ParisTech [1] 46 rue Barrault 75013 Paris –
France Paris until 2019, and then Palaiseau (Paris outskirt)
Starting date: March 2018
Duration of the PhD : 36 months
*Position description*
The PhD student will take part in ANIMATAS which is a H2020 Marie
Sklodowska Curie European Training Network funded by Horizon 2020 (the
European Union’s Framework Programme for Research and Innovation).
ANIMATAS focuses on the following objectives:
1) Exploration of fundamental questions relating to the
interconnections between robots and virtual characters’ appearance,
behaviours and perception by people
2) Development of new social learning mechanisms that can deal with
different types of human intervention and allow robots and virtual
characters to learn in an unconstrained manner
3) Development of new approaches for robots and virtual characters’
personalised adaptation to human users in unstructured and dynamically
evolving social interactions
Within this project, the PhD student will focus on the development of
a computational model of student’s disfluencies during his/her social
interactions with a pedagogical agent (e.g. a robot in a school), the
other students or a teacher. Disfluencies (fillers, repetitions,
auto-corrections, etc.) are spontaneous speech phenomena that can be
linked to various factors such as speaker’s emotions, or speaker’s
feeling of knowing. Studies have shown they can be markers of
student’s stress, feeling of incompetence. Despite the potential of
disfluencies to provide information on user’s emotion and mental
state, the consideration of disfluencies in human-agent context has
been so far rarely explored.
The role of the PhD will consist in analyzing the different types of
disfluencies occurring in the student’s speech and in proposing a
computational model (both formal models and machine learning models
could be investigated according to Phd student background) of
disfluencies that will allow the robot to adapt its answer.
The work will include:
a pluridisciplinary review of literature ranging from sociolinguistic
corpus studies to computational linguistics and human-machine
interaction on: i) disfluency studies; ii) teaching strategies
the study of acoustic and linguistic realizations of the different
types of disfluencies and their link with the accompanying gestures
a focus on linguistic and acoustic features of disfluencies that can
give information about the student’s feeling of competence and
emotional state.
the development of a computational model (from formal models to
machine learning) that will formalize the teaching and social
interaction strategies according to the detected disfluencies
(i.e. what the robot can do and when it is relevant to trigger the
strategy in order to help the student in his/her learning phase).
The PhD will join the Social Computing topic [2] in the S2a group [3] at Telecom-ParisTech in collaboration with ISIR [6].
Selected references for this position :
Cafaro, A., Glas, N. and Pelachaud, C., 2016, May. The effects of
interrupting behavior on interpersonal attitude and engagement in
dyadic interactions. In Proceedings of the 2016 International
Conference on Autonomous Agents & Multiagent Systems
(pp. 911-920). International Foundation for Autonomous Agents and
Multiagent Systems.
S. Campano, C. Clavel, C. Pelachaud, « I like this painting too »:
when an ECA shares appreciations to engage users, in AAMAS 2015,
Istanbul, Turkey.
Clavel, C., Cafaro, A., Campano, S., & Pelachaud, C. (2016). Fostering
user engagement in face-to-face human-agent interactions: a survey. In
Toward Robotic Socially Believable Behaving Systems-Volume II
(pp. 93-120). Springer International Publishing.
C. Dutrey, C. Clavel, S. Rosset, I. Vasilescu, and M. Adda-Decker, “A
crf-based approach to automatic disfluency detection in a french
call-centre corpus,” in Interspeech, 2014.
Vasilescu, I., Rosset, S. and Adda-Decker, M., 2010. On the Functions
of the Vocalic Hesitation euh in Interactive Man-machine Question
Answering Dialogs in French. In Proceedings of DiSS- LPSS Joint
Workshop 2010/The 5th Workshop on Disfluency in Spontaneous Speech -
The 2nd International Symposium on Linguistic Patterns in Spontaneous
Speech, Tokyo, Japan.
* Candidate profile*
Criteria for Eligibility:
• Eligible candidates must be in the first 4 years of their research
career, and have not yet been awarded a doctorate degree.
• Eligible candidates must not have resided or carried out their main
activity in the country of his host institution for more than
12 months in the 3 years immediately prior to his/her
recruitment under the project (compulsory national service
and/or short stays such as holidays are not taken into
account).
• Eligible candidates can be of any nationality.
As a minimum requirement, the successful candidate will have:
• A master degree or equivalent in one or more of the following areas:
human-agent interaction, machine learning, computational linguistics,
affective computing
• Excellent programming skills (preferably in Python)
• Good command of English
-- How to apply
Applications are to be sent to :
The two supervisors Chloé Clavel [4] and Catherine Pelachaud [6]:
chloe.clavel@telecom-paristech.fr, catherine.pelachaud@upmc.fr
The recruitment committee : Mohamed Chetouani (network coordinator),
Ana Paiva and Arvid Kappas at contact-animatas@listes.upmc.fr
The application should be formatted as a single pdf file and should include:
• A complete and detailed curriculum vitae
• A letter of motivation
• The academic credentials and the transcript of grades
• Two letters of reference
[1] https://www.telecom-paristech.fr/eng/
[2] https://www.tsi.telecom-paristech.fr/recherche/themes-de-recherche/analyse-automatique-des-donnees-sociales-social-computing/
[3] http://www.tsi.telecom-paristech.fr/ssa/#
[4] https://clavel.wp.imt.fr/publications/
[5] http://www.animatas.eu/
[6] http://pages.isir.upmc.fr/~pelachaud/index.php
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Chloé CLAVEL
Associate Professor in Affective Computing - LTCI, Télécom ParisTech, Social Computing Topic
https://www.tsi.telecom-paristech.fr/recherche/themes-de-recherche/analyse-automatique-des-donnees-sociales-social-computing/
GRETA TEAM - http://www.tsi.telecom-paristech.fr/mm/en/greta-team/
Office B505-2
46 rue Barrault
75013 Paris, France
tel: +33 1 45 81 72 54
http://clavel.wp.mines-telecom.fr/
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