WARN 2023: Weighting the benefits of Autonomous Robot persoNalization 32nd IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2023) Busan, South Korea, August 28-September 2, 2023 |
Conference website | https://sites.google.com/view/warn-roman23/home |
Submission link | https://easychair.org/conferences/?conf=warn2023 |
Call for submissions to the First Workshop on Weighting the benefits of Autonomous Robot persoNalization (WARN) at RO-MAN 2023
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Website: https://sites.google.com/view/warn-roman23/home
Date and time: 28 or 31 August 2023, time tbd
Location: Hybrid (Busan, Korea and online), as part of the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2023)
Manuscript submission site: https://easychair.org/conferences/?conf=warn2023
Important Dates
- Submission Deadline: June 15th, 2023 (23:59 AoE)
- Notification of Acceptance: July 13th, 2023
- Camera Ready Deadline: August 1st, 2023
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We are pleased to invite you to the First Workshop on Weighting the Benefits of Autonomous Robot Personalization (WARN) at the International Conference on Robot and Human Interactive Communication (RO-MAN 2023).
Aim and Scope
The importance of personalisation in Human-Robot Interaction has already shown its advantages in multiple scenarios and will become a prevalent direction for the field. Personalisation has the potential to significantly improve short- and long-term interactions in a variety of real-world scenarios by fostering trust and rapport, increasing adherence to the interaction, increasing engagement through tailored content, and improving task performance. As a result, deploying robots capable of doing so requires the manufacturers to model reasoning and perceptual capabilities.
However, we need to ponder whether and to what extent personalisation can benefit the interactions, and ultimately the users. Indeed, cultural biases, gender and age stereotypes might be amplified by robots that are developed as end-to-end systems for conducting social interactions. It is therefore of utmost importance to discuss contexts and environments in which personalisation is desired or required for the field and those in which it should be avoided. The contrast occurs between data-driven vs knowledge-driven approaches, in which the first can empower robots with personalisation skills while the latter can be better suited for explaining the decision process of the robot's behaviour.
The workshop focuses on the benefits and drawbacks of personalisation and behavioural adaptation in social HRI.
This workshop 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 social assistive robots with adaptive and learning capabilities in order to foster research and development of robotic solutions specifically designed for meeting the individual's unique needs.
Keynote Speakers
- Guilliem Alenyà, Institute of Robotics and Industrial Informatics (Spain)
- Shelly Levy-Tzedek, Ben Gurion University (Israel)
- Mohamed Chetouani, Sorbonne Université (France)
Topics of Interest
The workshop welcomes contributions to a wide range of topics including:
- Personalisation in short and long-term HRI
- User modelling in HRI
- Robot's personality
- Context and situation awareness for robots
- Engagement evaluation and re-engagement strategies
- Personalised dialogue with robots
- Personalised non-verbal behaviour with robots
- Adaptive human-aware task planning
- Theory of Mind for adaptive interaction
- Machine Learning for robotic personalisation
- Lifelong (continual) learning for adaptation
- Adaptation in multimodal interaction
- Affective and emotion-adapted HRI
- Persuasion in HRI
- Culture-aware robots
- Evaluation metrics for adaptive robotic behaviour
- Ethical implications of personalisation
- Robot customization and teaching
Submission Requirements
We welcome prospective participants to submit either full papers (up to 6 pages) or extended abstracts (up to 4 pages), using the format provided by RO-MAN.
Papers can be on research that the authors would like to discuss during the workshop, especially encouraging papers on new ideas or research that the authors plan to conduct. Possible topics of the submissions will cover a wide view of the state of the art.
Workshop papers must clearly indicate that they are part of the WARN workshop.
We strongly encourage workshop participants to present during paper presentation demos and videos showing their experiments and achievements. All material collected during the Workshop, such as video, slides, papers, etc., will be made available on the workshop website upon approval of the authors.
The full Call for Papers, including instructions for the submissions, can be found on EasyChair.
Organizing Committee
- Francesco Vigni, Università degli studi di Napoli Federico II, francesco.vigni@unina.it
- Antonio Andriella, Pal Robotics, antonio.andriella@pal-robotics.com
- Alyssa Kubota, University of California San Diego, akubota@ucsd.edu
- Silvia Rossi, Università degli studi di Napoli Federico II, silrossi@unina.it
Contact
All questions about submissions should be emailed to francesco.vigni AT unina.it