Supporting artificial social intelligence with theory of mind

J Williams, SM Fiore, F Jentsch - Frontiers in artificial intelligence, 2022 - frontiersin.org
In this paper, we discuss the development of artificial theory of mind as foundational to an
agent's ability to collaborate with human team members. Agents imbued with artificial social …

Learning socially appropriate robo-waiter behaviours through real-time user feedback

E McQuillin, N Churamani… - 2022 17th ACM/IEEE …, 2022 - ieeexplore.ieee.org
Current Humanoid Service Robot (HSR) behaviours mainly rely on static models that cannot
adapt dynamically to meet individual customer attitudes and preferences. In this work, we …

Enabling Social Robots to Perceive and Join Socially Interacting Groups using F-formation: A Comprehensive Overview

HB Barua, TH Mg, P Pramanick, C Sarkar - ACM Transactions on Human …, 2024 - dl.acm.org
Social robots in our daily surroundings, like personal guides, waiter robots, home helpers,
assistive robots, and telepresence/teleoperation robots, are increasing day by day. Their …

Detecting groups and estimating f-formations for social human–robot interactions

SK Pathi, A Kiselev, A Loutfi - Multimodal Technologies and Interaction, 2022 - mdpi.com
The ability of a robot to detect and join groups of people is of increasing importance in social
contexts, and for the collaboration between teams of humans and robots. In this paper, we …

Multiparty interaction between humans and socially interactive agents

S Gillet, M Vázquez, C Peters, F Yang… - The Handbook on Socially …, 2022 - dl.acm.org
While most research has focused on one-on-one interactions, Socially Interactive Agents
(SIAs) for multiparty interaction have received increasingly more atten tion in the past years …

Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments

S Checker, N Churamani, H Gunes - arXiv preprint arXiv:2403.07586, 2024 - arxiv.org
As social robots become increasingly integrated into daily life, ensuring their behaviours
align with social norms is crucial. For their widespread open-world application, it is important …

Impact of trajectory generation methods on viewer perception of robot approaching group behaviors

F Yang, W Yin, M Björkman… - 2020 29th IEEE …, 2020 - ieeexplore.ieee.org
Mobile robots that approach free-standing conversational groups to join them should
behave in a safe and socially-acceptable way. Existing trajectory generation methods focus …

Speeding-up action learning in a social robot with dyna-q+: a bioinspired probabilistic model approach

M Maroto-Gómez, R González… - IEEE …, 2021 - ieeexplore.ieee.org
Robotic systems that are developed for social and dynamic environments require adaptive
mechanisms to successfully operate. Consequently, learning from rewards has provided …

Mind your manners! a dataset and a continual learning approach for assessing social appropriateness of robot actions

J Tjomsland, S Kalkan, H Gunes - Frontiers in Robotics and AI, 2022 - frontiersin.org
To date, endowing robots with an ability to assess social appropriateness of their actions
has not been possible. This has been mainly due to (i) the lack of relevant and labelled data …

Learning on the job: Long-term behavioural adaptation in human-robot interactions

F Del Duchetto, M Hanheide - IEEE Robotics and Automation …, 2022 - ieeexplore.ieee.org
In this work, we propose a framework for allowing autonomous robots deployed for extended
periods of time in public spaces to adapt their own behaviour online from user interactions …