[agents] [CFP] Special Session on Personalization of Robot=?utf-8?Q?=E2=80=99s_?=Multimodal Behavior @ ICMI 2024

Silvia Rossi silvia.rossi at GMAIL.COM
Fri Apr 5 09:11:12 EDT 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://icmi.acm.org/2024/
 
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://icmi.acm.org/2024/guidelines/
 
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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: http://wpage.unina.it/silrossi/
e-mail: silvia.rossi at unina.it <mailto:silvia.rossi at unina.it>
e-mail: silvia.rossi at gmail.com <mailto:silvia.rossi at gmail.com>
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