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A Cloud-based Robot System for Long-term Interaction

Principles, Implementation, Lessons Learned

Journal Article (2022)
Author(s)

F.C.A. Kaptein (TU Delft - Interactive Intelligence)

Bernd Kiefer (Paragon Semvox GmbH)

Antoine Cully (Imperial College London)

Oya Celiktutan (King’s College London)

Bert Bierman (Produxi)

Rifca Rijgersberg-Peters

Joost Broekens (Universiteit Leiden)

Willeke Van Vught

Michael A. van Bekkum (DIANA FEA )

Yiannis Demiris (Imperial College London)

M.A. Neerincx (TU Delft - Interactive Intelligence)

Research Group
Interactive Intelligence
Copyright
© 2022 F.C.A. Kaptein, Bernd Kiefer, Antoine Cully, Oya Celiktutan, Bert Bierman, Rifca Rijgersberg-Peters, D.J. Broekens, Willeke Van Vught, Michael Van Bekkum, Yiannis Demiris, M.A. Neerincx
DOI related publication
https://doi.org/10.1145/3481585
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 F.C.A. Kaptein, Bernd Kiefer, Antoine Cully, Oya Celiktutan, Bert Bierman, Rifca Rijgersberg-Peters, D.J. Broekens, Willeke Van Vught, Michael Van Bekkum, Yiannis Demiris, M.A. Neerincx
Research Group
Interactive Intelligence
Issue number
1
Volume number
11
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Abstract

Making the transition to long-term interaction with social-robot systems has been identified as one of the main challenges in human-robot interaction. This article identifies four design principles to address this challenge and applies them in a real-world implementation: cloud-based robot control, a modular design, one common knowledge base for all applications, and hybrid artificial intelligence for decision making and reasoning. The control architecture for this robot includes a common Knowledge-base (ontologies), Data-base, "Hybrid Artificial Brain"(dialogue manager, action selection and explainable AI), Activities Centre (Timeline, Quiz, Break and Sort, Memory, Tip of the Day, ), Embodied Conversational Agent (ECA, i.e., robot and avatar), and Dashboards (for authoring and monitoring the interaction). Further, the ECA is integrated with an expandable set of (mobile) health applications. The resulting system is a Personal Assistant for a healthy Lifestyle (PAL), which supports diabetic children with self-management and educates them on health-related issues (48 children, aged 6-14, recruited via hospitals in the Netherlands and in Italy). It is capable of autonomous interaction "in the wild"for prolonged periods of time without the need for a "Wizard-of-Oz"(up until 6 months online). PAL is an exemplary system that provides personalised, stable and diverse, long-term human-robot interaction.