[I-RIM ML] [CFP] Special Session on Personalization of Robot’s Multimodal Behavior @ ICMI 2024

Sat Mar 30 17:23:53 CET 2024

******** Apologies for cross-posting*********

*Call for Papers for Special session: *

*Personalization of Robot’s Multimodal Behavior*

26th ACM International Conference on Multimodal Interaction (ICMI 2024)

4-8 Nov 2024, Costa Rica

*https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202403301624050210431&URLID=13&ESV=10.0.28.7941&IV=DCBC7FC856B27CCD6827EC814412E4FE&TT=1711815851907&ESN=iNPWJFDo8vrOq%2FcFEZQZW95t3Vt4O1Rq5N7UP74Zo6E%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cHM6Ly9pY21pLmFjbS5vcmcvMjAyNC8&HK=AEF2E1CB56181D6AE821FDF51AAD01A8EA49CA399BA3796D4400300D6CA1AF5A <https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202403301624050210431&URLID=12&ESV=10.0.28.7941&IV=1D70C6BC26ADBC04A7BC2069CEEFD9BF&TT=1711815851907&ESN=3fO4tnUlLEyxcVGreVDFmt5KD6MXq%2BxFK5hd2HdNfp0%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cHM6Ly9pY21pLmFjbS5vcmcvMjAyNC8-Kg&HK=C511A989E12E0AD3FCFB9820BF0D65279128A1C395C77D55B60F6F2FA244818A

*Submission deadline: **26th of April 2024*

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*Motivation and Goals*

The success of personal robots is related to their ability to autonomously
tailor their behaviour according to the individual’s culture, preferences,
and cognitive and physical abilities, among others. Personalization can
significantly enhance human-robot interactions in various real-world
scenarios by increasing engagement through tailored content, building trust
and rapport, improving adherence to the interaction, and enhancing task
performance. Due to their typical contexts of use, social robots are
requested to adapt their behaviour in both short and long-term
interactions. As a multimodal system, a robot integrates multiple channels
of communication and perception to interact with humans and their
environment effectively. For instance, a robot equipped with speech
recognition capabilities can understand verbal commands and engage in
spoken dialogue with users. Simultaneously, its vision system allows it to
perceive facial expressions, gestures, and other visual cues, providing
additional context for interpreting the user’s intent
and emotional state. Moreover, tactile sensors enable the robot to sense
touch and physical interactions, enhancing its ability to respond
appropriately to human gestures and contact. By integrating these
modalities, the robot can tailor its behaviour dynamically based on the
information it gathers from each channel. Apart from that by leveraging
multiple modalities such as speech, vision, and gesture, robots can offer
diverse and flexible interfaces for non-experts to interact with and
personalize the robot. For example, non-experts can teach new behaviours to
the robot through multimodal demonstration, where they can verbally explain
the desired behaviour while demonstrating corresponding actions. This
approach not only allows users to convey their intentions more effectively
but also provides multiple sources of information for the robot to learn
from, enhancing the quality and robustness of the learned behaviours.

This special session aims to bring together a multidisciplinary group of
researchers from areas including, but
not limited to, psychology, neuroscience, computer science, robotics, and
sociology, to share and discuss current approaches to empowering robots
with adaptive multimodal capabilities to foster research and development of
robotic solutions specifically designed for meeting the individual’s unique
needs. Topics include, but are not limited to, the following:

·       Personalization in short and long-term HRI

·       User modelling in HRI

·       Personalization in Multimodal Behaviors

·       Robot’s personality

·       Context and situation awareness for robots

·       Engagement evaluation and re-engagement strategies

·       Personalized dialogue with robots

·       Personalized non-verbal behaviour with robots

·       Adaptive human-aware task planning

·       Theory of Mind for adaptive interaction

·       Machine Learning for robotic personalization

·       Lifelong (continual) learning for adaptation

·       Adaptation in multimodal interaction

·       Affective and emotion-adapted HRI

·       Persuasion in HRI

·       Personalization for Sustainability

·       Culture-aware robots

·       Evaluation metrics for adaptive robotic behaviour

·       Ethical implications of personalization

·       Robot customization and teaching

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*Paper format and submission guidelines*

*https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202403301624050210431&URLID=11&ESV=10.0.28.7941&IV=A9B9518149A6A1DF71320B4FE484FCDC&TT=1711815851907&ESN=TpMyRqVHba4zbzTzFuCjgg7y%2FZ4%2B9W7SRJonFIbWjh4%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cHM6Ly9pY21pLmFjbS5vcmcvMjAyNC9ndWlkZWxpbmVzLw&HK=BE1C13AEC91CCEC6CD98D9FA1AA0213AD0E1032264D06AAE8014559145D2E867
<https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202403301624050210431&URLID=10&ESV=10.0.28.7941&IV=8DD5AAE252C6C5DED2A2B26DE99AB8DC&TT=1711815851907&ESN=GuQC6%2BYWL6PbSPopoY6ptIt6r9F16D%2F4VjLZLVBurMw%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cHM6Ly9pY21pLmFjbS5vcmcvMjAyNC9ndWlkZWxpbmVzLz4q&HK=39F21E37E66699C91C81F248FC7F58F75133259C608C448D662F12E2925D15E6

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*Organizers*

Silvia Rossi, University of Naples Federico II, Italy

Antonio Andriella, Institut de Robotica I Informatica Industrial, Spain

Berardina De Carolis, University of Bari, Italy

Geoffrey Louie Wing-Yue, University of Oakland, USA

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Silvia Rossi, PhD
Associate Professor
Department of Electrical Engineering and Information Technology - D.I.E.T.I.

University of Naples Federico II
Via Claudio, 21, 80125 - Naples, Italy
phone:  +39 081 679963
w-page: https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202403301624050210431&URLID=9&ESV=10.0.28.7941&IV=F4BEE4B467A5F4D3F6E2B247D0CBE249&TT=1711815851907&ESN=mpVYZMkVTTe08KfFqGj1s4dCaXf833rEoEHtpBJL8jM%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cDovL3dwYWdlLnVuaW5hLml0L3NpbHJvc3NpLw&HK=935073B20BB3A86CC34D6D49FEEDD6CBE636BFD4AC623F0F081F180EC828B7E6
e-mail: silvia.rossi at unina.it
e-mail: silvia.rossi at gmail.com
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