[iva] Offre de thèse en Informatique / Interaction Homme-Machine : e-Coaching personnalisé, motivationnel et adaptatif pour les activités physiques de patients lombalgiques (LIMSI-CNRS)

[Jean-Claude MARTIN]

Bonjour,
pouvez-vous diffuser l'offre de thèse ci-dessous ?
Cordialement,
Jean-Claude MARTIN

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TITRE
Offre de thèse en Informatique / Interaction Homme-Machine : e-Coaching
personnalisé, motivationnel et adaptatif pour les activités physiques de
patients lombalgiques (LIMSI-CNRS)
/
PhD thesis offer in Computer Science / Human-Computer Interaction:
Personalized, motivational and adaptive e-Coaching for physical activities
of low back pain patients (LIMSI-CNRS)
(English version below)

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LIEU
LIMSI-CNRS, 91400 Orsay
France
www.limsi.fr
Accessible en RER B depuis Paris

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DATES ET DUREE
3 ans à partir de Octobre 2020

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CONTEXTE
Cette thèse se déroulera dans le cadre d’un projet financé pour
l’accompagnement de patients atteints de lombalgie. Le doctorant en
informatique travaillera en collaboration avec une équipe
multidisciplinaire au LIMSI et en milieu hospitalier.


Aujourd’hui se développent les technologies dites persuasives ou
motivationnelles qui désignent des technologies, applications ou services
conçus pour induire des changements d’attitudes et de comportements chez
ceux qui les utilisent. Cela fait l’objet de recherche en Interaction
Homme-Machine en lien avec des théories issues de la psychologie liées par
exemple au changement de comportement ou à la personnalité. Il s’agit ainsi
de modéliser des interactions homme-machine qui doivent s’adapter à la
manière dont l’utilisateur se situe dans le changement de comportement et à
sa personnalité. Des recherches sur ces technologies suggèrent qu’afin
d’encourager une adhésion à long-terme, ces “coachs virtuels” doivent
prendre en compte la personnalité de l’utilisateur. Par exemple, selon la
Regulatory Focus Theory (Higgins, 1997), les individus se différencient
dans la manière d’orienter leurs buts et ainsi leurs stratégies et leur
façon de prendre des décisions. Cette théorie a déjà fait l’objet d’une
thèse et d’une modélisation informatique au LIMSI dans le contexte d’un jeu
(Faur 2016). Cette théorie est aussi appliquée à la motivation
personnalisée dans le domaine de l’activité physique avec le cadre WEnner
(Martin & Clavel 2018).

Le coach informatique sera conçu avec et pour des patients atteints de
lombalgie (douleur de la région lombaire) chronique. Il devra prendre en
compte le profil individuel de l’utilisateur lors du diagnostic initial
mais aussi s’adapter au fur et à mesure de l’intervention, notamment en
fournissant des feedbacks personnalisés et adaptés, mais aussi en prenant
en compte les phases de changement de comportement. Il devra permettre une
intervention à distance et continue. D’autres cadres théoriques seront
aussi considérés liés par exemple à la confiance en soi particulièrement
importante pour ces pathologies. Il devra être implémenté comme application
sur téléphone portable (d’autres dispositifs et modalités comme des montres
connectées pourront être envisagés).

TACHES
- état de l’art des recherches pertinentes (affective computing, persuasive
technologies, ehealth intervention, mobile human-computer interventions,
théories et modèles pertinents en Psychologie : changement de comportement,
différences interindividuelles)
- analyse des besoins et participation avec les partenaires du projet à la
conception du coach personnalisé mobile : spécification du rôle et des
fonctions du coach
- conception et implémentation de l’application de coaching (application
mobile, base de données)
- spécification des interactions homme-machine multimodales personnalisées
(texte, graphique, audio)
- tests techniques puis évaluation avec des patients
- éthique et protection des données personnelles


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PROFIL RECHERCHE
Master 2 Informatique ou Interaction Homme-Machine

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CANDIDATURE
Envoyer CV, lettre de motivation, notes Licence et Master, rapports de
projets / stage à : JEAN.CLAUDE.MARTIN at GMAIL.COM
(PR Informatique)

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REMUNERATION
Salaire annuel brut mono-activité : 25 620 Euros brut (net : 20 590 Euros)
Salaire annuel brut multi-activité (ex enseignement) :  30 920 Euros brut
(net : 24 850 Euros)

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REFERENCES

1. Keeney, R. L., 2008. Personal decisions are the leading cause of death.
Operations Research, 56(6), pp. 1335-1347.
2. Myers, J. (2003). Exercise and Cardiovascular Health. Circulation,
107(1).
3. Webb, T.L., Joseph, J., Yardley, L. & Michie, S., 2010. Using the
Internet to promote health behavior change: A systematic review and
meta-analysis of the impact of theoretical basis, use of behavior change
techniques, and mode of delivery on efficacy. J Med Internet Res. 12, 1.
4. Noar, S. M., Palmgreen, P., Chabot, M., Dobransky, N., & Zimmerman, R.
S. (2009). A 10-year systematic review of HIV/AIDS mass communication
campaigns: have we made progress?. Journal of health communication, 14(1),
15-42.
5. Noar, S. M., Harrington, N. G., & Aldrich, R. S. (2009). The role of
message tailoring in the development of persuasive health communication
messages. Annals of the International Communication Association, 33(1),
73-133.
6. Carver, C. S., Sutton, S. K., & Scheier, M. F., 2000. Action, emotion,
and personality: Emerging conceptual integration. Personality and Social
Psychology Bulletin, 26, pp. 741–751.
7. Mann, T., Sherman, D. & Updegraff, J., 2004. Dispositional Motivations
and Message Framing: A Test of the Congruency Hypothesis in College
Students. Health Psychol, 23, 3, pp. 330-334.
8. Latimer, A. E., Brawley, L. R., & Bassett, R. L. (2010). A systematic
review of three approaches for constructing physical activity messages:
what messages work and what improvements are needed?. International Journal
of Behavioral Nutrition and Physical Activity, 7(1), 36.
9. Prochaska JO, DiClemente CC (1983) Stages and processes of self-change
of smoking: toward an integrative model of change. J Consult Clin Psychol
51(3):390.
10. Kreuter, M. W., Oswald, D. L., Bull, F. C., & Clark, E. M. (2000). Are
tailored health education materials always more effective than non-tailored
materials?. Health education res., 15(3), 305-315.
11. Ludolph, R., & Schulz, P. J. (2015). Does regulatory fit lead to more
effective health communication? A systematic review. Social science &
medicine, 128, 142-150.
12. Higgins, E. T. (1997). Beyond pleasure and pain. American psychologist,
52(12), 1280.
13. Shah, J., Higgins, T., Friedman, R.S. (1998). Performance incentives
and means: how regulatory focus influences goal attainment. Journal of
personality and social psychology 74(2), 285
14. Higgins, E. T. (2000). Making a good decision: value from fit. Am.
psychologist, 55(11), 1217.
15. Higgins, E.T. (2005). Value from regulatory fit. Current Directions in
Psy. Sc. 14(4), 209–213
16. Cesario, J., Grant, H., & Higgins, E. T. (2004). Regulatory fit and
persuasion: Transfer from" feeling right.". Journal of personality and
social psychology, 86(3), 388.
17. Martin, J.-C., & Clavel, C. (2018) Tailored, Multimodal and Opportune
Interactions on a Wearable Sport Coach: The WE-nner Framework. Global
Thoughts, Local Designs. T. Clemmensen et al. (Eds.): INTERACT 2017, LNCS
10774, Springer,  24-32.
18. Courgeon, M., Clavel, C., Martin, J.-C. (2014) Modeling Facial Signs of
Appraisal During Interaction; Impact on Users’ Perception and Behavior.
AAMAS'2014, Paris, France.
19. Walker, M., S. Whittaker, A. Stent, P. Maloor, J. Moore, M. Johnston,
G. Vasireddy. Generation and Evaluation of User Tailored Responses in
Multimodal Dialogue. In Cognitive Science, Vol 28., Issue 5,
September-October 2004, pp. 811-840.
20. Hollis, V., Artie Konrad, Aaron Springer, Matthew Antoun, Christopher
Antoun, Rob Martin, and Steve Whittaker. 2017. What Does All This Data Mean
for My Future Mood? Actionable Analytics and Targeted Reflection for
Emotional Well-Being. Hum.-Comput. Interact. 32, 5-6 (November 2017),
208-267.
21. Rabbi, M., Min Hane Aung, Mi Zhang, and Tanzeem Choudhury. 2015.
MyBehavior: automatic personalized health feedback from user behaviors and
preferences using smartphones. In Proceedings of the 2015 ACM International
Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15). ACM,
New York, NY, USA, 707-718.
22. Konrad, A., Bellotti, V., Crenshaw, N., Tucker, S., Nelson, L., Du, H.,
Pirolli, P., Whittaker, S. (2015). Finding the Adaptive Sweet Spot:
Balancing Compliance and Achievement in Automated Stress Reduction. CHI
2015. ACM Press.
23. Hollis, V., Artie Konrad, and Steve Whittaker (2015). Change of Heart:
Emotion Tracking to Promote Behavior Change. In Proceedings of the 33rd
Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM,
New York, NY, USA, 2643-2652.
24. Froehlich, J. (2011) Sensing and Feedback of Everyday Activities to
Promote Environmental Behaviors . Doctoral Dissertation. University of
Washington.



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ENGLISH VERSION
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LOCATION OF THE PhD THESIS
LIMSI-CNRS, 91400 Orsay,
France
www.limsi.fr
Accessible by RER B from Paris

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DATES AND DURATION
Thesis: 3 years from October 2020

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BACKGROUND
This thesis will take place within the framework of a funded project for
the accompaniment of patients suffering from low back pain. The PhD student
in computer science will work in collaboration with a multidisciplinary
team at LIMSI and in a hospital setting.


Today, so-called persuasive or motivational technologies are being
developed, which refer to technologies, applications or services designed
to induce changes in the attitudes and behaviours of those who use them.
This is the subject of research in Human-Computer Interaction in connection
with theories from psychology related for example to behavior change or
personality. The aim is thus to model human-machine interactions that must
adapt to the way in which the user is situated in the behaviour change and
to his personality. Research on these technologies suggests that in order
to encourage long-term adherence, these "virtual coaches" must take into
account user's personality. For example, according to Regulatory Focus
Theory (Higgins, 1997), individuals differ in the way they direct their
goals and thus their strategies and decision-making. This theory has
already been the subject of a thesis and computer modelling at LIMSI in the
context of a game (Faur 2016). This theory is also applied to personalized
motivation in the field of physical activity with the WEnner framework
(Martin & Clavel 2018).

The computer coach will be designed with and for patients with chronic low
back pain. It will have to take into account the individual profile of the
user at the time of the initial diagnosis but also adapt as the
intervention progresses, in particular by providing personalised and
adapted feedback, but also by taking into account the phases of behaviour
change. It should allow for remote and continuous intervention. Other
theoretical frameworks will also be considered related, for example, to
self-confidence, which is particularly important for these pathologies. It
will have to be implemented as a mobile phone application (other devices
and modalities such as connected watches could be considered).

TASKS
- state of the art of relevant research (affective computing, persuasive
technologies, ehealth intervention, mobile human-computer interventions,
relevant theories and models in Psychology: behaviour change,
inter-individual differences)
- Requirement analysis and participation with the project partners in the
design of the mobile personalized coach for patients with low back pain:
specification of the role and functions of the coach
- design and implementation of the coaching application (mobile
application, database)
- specification of customized multimodal human-machine interactions (text,
graphics, audio)
- technical tests then evaluation with patients
- ethics and data protection


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RESEARCH PROFILE
Master 2 Computer Science or Human-Computer Interaction

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APPLICATION
Send CV, cover letter, Bachelor's and Master's grades, project/internship
reports to : JEAN.CLAUDE.MARTIN at GMAIL.COM
(Computer PR)

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REMUNERATION
Thesis:
Annual gross single-activity salary : 25 620 Euros gross (net : 20 590
Euros)
Multi-activity gross annual salary (ex teaching): 30,920 Euros gross (net:
24,850 Euros)


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Jean-Claude MARTIN

Professor of Computer Science at Paris-South 11 University - IUT d'Orsay
Head of the Group "Cognition, Perception and Usability" at LIMSI-CNRS
http://www.limsi.fr/Individu/martin/

Editor-in-Chief of the Springer Journal on Multimodal User Interfaces
(JMUI):
IF(2018) = 2.020
http://www.springer.com/computer/hci/journal/12193

LIMSI
Rue John von Neumann
Campus Universitaire d'Orsay
Bât 508
91405 Orsay cedex
FRANCE

Tel.: +33 1 69 15 81 15  -  Fax: +33 1 6985 8088
Email: MARTIN at LIMSI.FR

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