2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2022
DOI: 10.1109/hri53351.2022.9889583
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Conversational AI and Knowledge Graphs for Social Robot Interaction

Abstract: The paper describes an approach that combines work from three fields with previously separate research communities: social robotics, conversational AI, and graph databases. The aim is to develop a generic framework in which a variety of social robots can provide high-quality information to users by accessing semantically-rich knowledge graphs about multiple different domains. An example implementation uses a Furhat robot with Rasa open source conversational AI and knowledge graphs in Neo4j graph databases.

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Cited by 17 publications
(4 citation statements)
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“…In other words, listeners perceive computers as capable of upholding the burden of perspective taking by constructing utterances from an othercentric perspective. Since the time of our experiments, the technological capabilities of AI have continued to grow, in both the social and language domains (Katz, Bommarito, Gao, & Arredondo, 2023; Kortemeyer, 2023; Wilcock & Jokinen, 2022). Public awareness of this has also increased, fuelled notably by the recent advent of ChatGPT, the publicly accessible AI‐powered chatbot developed by OpenAI5 (Hill‐Yardin, Hutchinson, Laycock, & Spencer, 2023; Kasneci et al., 2023; Lo, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…In other words, listeners perceive computers as capable of upholding the burden of perspective taking by constructing utterances from an othercentric perspective. Since the time of our experiments, the technological capabilities of AI have continued to grow, in both the social and language domains (Katz, Bommarito, Gao, & Arredondo, 2023; Kortemeyer, 2023; Wilcock & Jokinen, 2022). Public awareness of this has also increased, fuelled notably by the recent advent of ChatGPT, the publicly accessible AI‐powered chatbot developed by OpenAI5 (Hill‐Yardin, Hutchinson, Laycock, & Spencer, 2023; Kasneci et al., 2023; Lo, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…The Rasa Conversational AI supports knowledge graph technology with the help of specific knowledge-based actions that supply content for the system responses by querying the domain knowledge base [32]. For instance, part of the knowledge graph for the medical prevention domain is shown in Figure 4.…”
Section: Knowledge Sourcesmentioning
confidence: 99%
“…There are also unanswered questions in the area of ethics, especially in the context of medicine and care. One important question is how to consider ethical issues in the context of human-robot interaction (HRI) research, particularly in relation to the use of robots in sensitive areas such as healthcare and nursing (Wilcock & Jokinen, 2022;Fosch-Villaronga et al, 2020;Ostrowski et al, 2022). Long-term effects of human-robot interactions in terms of human development and social life are also an area of current research (de Graaf et al, 2016;de Graaf, 2016).…”
Section: Summary and Future Researchmentioning
confidence: 99%