vIS: An immersive virtual storytelling system for vocational training

S Doolani, L Owens, C Wessels, F Makedon - Applied sciences, 2020 - mdpi.com
Storytelling has been established as a proven method to effectively communicate and assist
in knowledge transfer. In recent years, there has been growing interest in improving the …

A robot by any other frame: framing and behaviour influence mind perception in virtual but not real-world environments

S Wallkötter, R Stower, A Kappas… - Proceedings of the 2020 …, 2020 - dl.acm.org
Mind perception in robots has been an understudied construct in human-robot interaction
(HRI) compared to similar concepts such as anthropomorphism and the intentional stance …

A comparison of dynamical perceptual-motor primitives and deep reinforcement learning for human-artificial agent training systems

L Rigoli, G Patil, P Nalepka, RW Kallen… - Journal of Cognitive …, 2022 - journals.sagepub.com
Effective team performance often requires that individuals engage in team training
exercises. However, organizing team-training scenarios presents economic and logistical …

Multimodal approach for cognitive task performance prediction from body postures, facial expressions and EEG signal

AR Babu, A Rajavenkatanarayanan, JR Brady… - Proceedings of the …, 2018 - dl.acm.org
Recent developments in computer vision and the emergence of wearable sensors have
opened opportunities for the development of advanced and sophisticated techniques to …

Can we empower attentive e-reading with a social robot? an introductory study with a novel multimodal dataset and deep learning approaches

Y Lee, M Specht - LAK23: 13th International Learning Analytics and …, 2023 - dl.acm.org
Reading on digital devices has become more commonplace, while it often poses challenges
to learners' attention. In this study, we hypothesized that allowing learners to reflect on their …

[PDF][PDF] Employing models of human social motor behavior for artificial agent trainers

LM Rigoli, P Nalepka, H Douglas, RW Kallen… - Proceedings of the 19th …, 2020 - ifaamas.org
Many everyday tasks require individuals to work together as a team to achieve a task goal.
For many complex or high-stakes multi-agent activities, team members are required to …

Personalized behaviour models: A survey focusing on autism therapy applications

M Stolarz, A Mitrevski, M Wasil, PG Plöger - arXiv preprint arXiv …, 2022 - arxiv.org
Children with Autism Spectrum Disorder find robots easier to communicate with than
humans. Thus, robots have been introduced in autism therapies. However, due to the …

An interactive multisensing framework for personalized human robot collaboration and assistive training using reinforcement learning

K Tsiakas, M Papakostas, M Theofanidis… - Proceedings of the 10th …, 2017 - dl.acm.org
There is a recent trend of research and applications of Cyber-Physical Systems (CPS) in
manufacturing to enhance human-robot collaboration and production. In this paper, we …

v-cat: A cyberlearning framework for personalized cognitive skill assessment and training

M Papakostas, K Tsiakas, M Abujelala, M Bell… - Proceedings of the 11th …, 2018 - dl.acm.org
Recent research has shown that hundreds of millions of workers worldwide may lose their
jobs to robots and automation by 2030, impacting over 40 developed and emerging …

[PDF][PDF] Interactive Learning and Adaptation for Personalized Robot-Assisted Training

K Tsiakas - 2018 - researchgate.net
ACKNOWLEDGEMENTS Firstly, I would like to express my sincere gratitude to my
supervisor Prof. Fillia Makedon for her continuous support through all these years. I have …