Call for Papers:
Mind Attribution in HRI: Determinants and Consequences
Special session at RO-MAN 2024, 33rd IEEE International Conference on Robot and Human Interactive Communication
Pasadena, California, USA
August 26-30, 2024
https://www.ro-man2024.org/
Submission deadline: March 20, 2024
MOTIVATION AND GOALS
Mind attribution refers to “the cognitive capacity to reflect upon one’s own and other persons’ mental states such as beliefs, desires, feelings and intentions”. A growing group of Human-Robot Interaction (HRI) research recently focuses on investigating whether people form mental models towards robots, and how robots are able to mentalize. However, there is currently no consensus about what types of data qualify as proof of mind attribution to robots, and the ability to reason about false beliefs can improve the quality of the HRI, including transparency of robots’ behaviors, naturalness of the communication, etc. To tackle down these challenges, in this special session, we want to start by (1) fostering a shared terminology used to denote mind attribution, (2) unraveling determinants and consequences of mind attribution in HRI, and (3) sharing best practices in methods used to study mind attribution to robots in terms of stimulus materials and measures. Notably, accepted topics include, but are not limited to:
- Explainable AI (XAI) in HRI
- Multi-modal situation awareness and spatial cognition
- Social intelligence for robots in interactive and non-interactive tasks
- Verifications Methods for autonomous agents
- Legibility, Predictability and Transparency in HRI
- Cognitive robotics
- Deception in HRI
- Robot cheating in HRI
- Theory of Mind, Mental models in HRI
- Robot etiquette and social norms
- Modelling Trust and Acceptance in HRI
PAPER FORMAT AND SUBMISSION GUIDELINES
https://www.ro-man2024.org/contributing/specialsessionpapersubmission
Authors should use the following code to link the paper to our Special Session:
Special session code: aa7b5
ORGANIZERS
Alessandra Rossi, University of Naples Federico II, Italy
Maartje de Graaf, Utrecht University, Netherlands
Mariacarla Staffa, University of Naples Parthenope, Italy
Angelo Cangelosi, University of Manchester, United Kingdom
CONTACT:
Alessandra Rossi, PhD
Assistant Professor
Department of Electrical Engineering and Information Technologies – D.I.E.T.I.
University of Naples Federico II
Via Claudio, 21, 80125 – Naples, Italy
w-page: https://alessandrarossi.net
e-mail address: alessandra.rossi@unina.it
e-mail address: a.rossi@herts.ac.uk