[iva] Internship for a master student: Interactive and Explainable Virtual Coach for Behavior Change

[Jean-Claude MARTIN]

Hi,

Please find below an offer for an internship for a master student.
Please contact me if you have any questions, or send it to students who
might be interested.

Best regards,

Jean-Claude MARTIN
Université Paris-Saclay
LISN

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Internship for a master student:
Interactive and Explainable  Virtual Coach for Behavior Change
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TITLE
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Interactive and Explainable Virtual Coach for Behavior Change

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SUPERVISOR
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Prof. Jean-Claude MARTIN
MARTIN at LIMSI.FR

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HOSTING LAB
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LISN / LIMSI, Orsay, France
(45mn train from Paris)

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DATES
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Duration: 4 to 6 months
Beginning: From March 2021
End: Before end of September 2021
*Internship can be done fully remotely if needed*

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RESEARCH CONTEXT
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In order to support an efficient and friendly experience, Human-Computer
Interaction (HCI) needs to be adapted and personalised to each user.
This is even more true in eHealth interventions making use of virtual
coaches for motivating users for behavior change (eg. doing more physical
activity).

The goal of the internship is to define and validate a methodology for
designing such a virtual agent representing a coach which needs to adapt
on-line to the user (e.g. during the interactive sessions, not only before
or after) in order to support behavior change.

The virtual coach will rely not on the user's states (motivation, emotions)
and traits (motivation profile, personality, culture),
but also on its current performance and behaviors to dynamically select and
display appropriate multimodal behaviors
and communication strategies during the coaching sessions.

In order to support motivating users in the long term and elicit trust,
such a coach needs to be able to provide *explanations* about its behaviors
and its recommendations.

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TASKS
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- propose a design framework for personalised adaptive virtual agents for
behavior change which support explainability
- survey existing corpora of dyadic interactions and motivational
interviewing between coaches and participants + collect a new multimodal
video corpus
- propose a proper set of concepts for describing behavior change
strategies observable in the literature and in the corpus (eg an ontology)
- derive specifications for the interactive coach from the corpus and the
ontology of behavior change concepts
- publications and meetings with international partners

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SALARY
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600 Euros per month

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APPLICATION
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Send detailed CV, grades from the last 3 years, previous
projects/internship reports or articles to
MARTIN at LIMSI.FR
Expected profile: Master in HCI / Cognitive Science / Sport Psychology
More details:
https://docs.google.com/document/d/1kgHFPxxNuh5KuAMUHl48fldL1sLbBJp8-Am5ytkqtOc/edit?usp=sharing

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REFERENCES
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Aldenaini, N., Orji, R., & Sampalli, S. (2020). How Effective is
Personalization in Persuasive Interventions for Reducing Sedentary
Behav-ior and Promoting Physical Activity: A Sys-tematic Review.

Clavel, C., Whittaker, S., Blacodon, A., & Martin, J. C. (2018). Wenner: A
theoretically motivated approach for tailored coaching about physical
activity. UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM
International Joint Conference on Pervasive and Ubiquitous Computing and
Proceedings of the 2018 ACM International Symposium on Wearable Computers,
1669–1675. https://doi.org/10.1145/3267305.3274190

Foulonneau, A., Villain, E., Calvary, G., & Grenoble, U. (2019).
L’adaptation pour une persuasion durable L’adaptation pour une persuasion
durable Gaëlle CALVARY Adaptation for sustainable persuasion. In
Interaction Personne-Système (Vol. 8). Retrieved from
https://jips.episciences.org

Ghanvatkar, S., Kankanhalli, A., & Rajan, V. (2019). User models for
personalized physical activity interventions: Scoping review. JMIR MHealth
and UHealth, Vol. 7. https://doi.org/10.2196/11098

Hocine, N. ., Gouaïch, A. ., Di Loreto, I. ., & Abrouk, L. . (2011).
Adaptation techniques in games and serious games. State of the art
[Techniques d’adaptation dans les jeux ludiques et sérieux: État de l’art].
Revue d’Intelligence Artificielle, 25(2).
https://doi.org/10.3166/ria.25.253-280

Klock, A. C. T., Gasparini, I., Pimenta, M. S., & Hamari, J. (2020).
Tailored gamification: A review of literature. International Journal of
Human Computer Studies, 144. https://doi.org/10.1016/j.ijhcs.2020.102495

Lindgren, H., Guerrero, E., Jingar, M., Lindvall, K., Ng, N., Richter
Sundberg, L., … Weinehall, L. (2020). The STAR-C intelligent coach: A
cross-disciplinary design process of a behavior change intervention in
primary care. Studies in Health Technology and Informatics, 273, 203–208.
https://doi.org/10.3233/SHTI200640

Martin, J.-C., and C. Hamou. 2020. Designing motivational technology for
diversity: application to physical activity data. Workshop “Data4Good”, AVI
2020 Conference. 28 Sept. 2020.
https://drive.google.com/file/d/14Zt0Y3phuL78A-hCP7PeUm_O4FKNtTh0/edit
McMaster, F. (2011). Motivational interviewing across cultures: Evidence
from Singapore and the US. Psychosomatic Medicine, 73(3).

Monteiro-Guerra, F., Rivera-Romero, O., Fernandez-Luque, L., & Caulfield,
B. (2020, June 1). Personalization in Real-Time Physical Activity Coaching
Using Mobile Applications: A Scoping Review. IEEE Journal of Biomedical and
Health Informatics, Vol. 24, pp. 1738–1751.
https://doi.org/10.1109/JBHI.2019.2947243

Nivethika, M., Vithiya, I., Anntharshika, S., & Deegalla, S. (2013).
Personalized and adaptive user interface framework for mobile application.
Proceedings of the 2013 International Conference on Advances in Computing,
Communications and Informatics, ICACCI 2013, 1913–1918.
https://doi.org/10.1109/ICACCI.2013.6637474

op den Akker, H., Jones, V. M., & Hermens, H. J. (2014). Tailoring
real-time physical activity coaching systems: a literature survey and
model. User Modeling and User-Adapted Interaction, 24(5), 351–392.
https://doi.org/10.1007/s11257-014-9146-y

Orji, R., Reisinger, M., Busch, M., & Dijkstra, A. (2016).
Personalization/Computer-Tailoring in Persuasive Technology: Tailoring
Ingredients Target Psychological Processes. Retrieved from
http://ceur-ws.org

Paramythis, A., Weibelzahl, S., & Masthoff, J. (2010). Layered evaluation
of interactive adaptive systems: Framework and formative methods. User
Modeling and User-Adapted Interaction, 20(5), 383–453.
https://doi.org/10.1007/s11257-010-9082-4

Peters, D., Calvo, R. A., & Ryan, R. M. (2018). Designing for motivation,
engagement and wellbeing in digital experience. Frontiers in Psychology,
9(MAY). https://doi.org/10.3389/fpsyg.2018.00797

Shneiderman, B. (2020). Bridging the Gap Between Ethics and Practice:
Guidelines for Reliable, Safe, and Trustworthy Human-centered AI Systems.
ACM Transactions on Interactive Intelligent Systems, 10(4), 1–31.
https://doi.org/10.1145/3419764

Stuart, H., Serna, A., Marty, J.-C., Lavoué, E., Hallifax, S., & Moulin
Lyon, J. (2019). Adaptive gamification in education: A literature review of
current trends and developments In European Conference on Technology
Enhanced Learning. Retrieved from
https://hal.archives-ouvertes.fr/hal-02185634



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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

1er janvier 2021 : Lancement du Laboratoire Interdisciplinaire des Sciences
du Numérique (LISN), issu des 7 groupes de recherche du LIMSI et de 7
équipes de recherche du LRI

January 1, 2021. Inauguration of LISN, the interdisciplinary computer
science laboratory uniting 14 research groups, 7 from LIMSI and 7 from LRI

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